Professor Olaniyi Mathew OLAYIWOLA is a Professor of Statistics in the Department of Statistics, College of Physical Sciences, Federal University of Agriculture, Abeokuta [FUNAAB], Ogun State, Nigeria. He was on sabbatical at the University of Kent, Canterbury, England, UK [2023–2024], a volunteer within the Kent, Medway, and Sussex Secure Data Environment for NHS Research Programme [2024-2025], and contributed in the National Conversation on Health Data organized by Insight & Strategy, NHS England [2024]. Professor Olayiwola was awarded Qualify teacher in England, UK by Department of Education in 2025. He developed Nigeria’s first predictive mathematical models for estimating ten-year reinfection probabilities of Neglected Tropical Diseases (Lymphatic Filariasis and Onchocerciasis) in collaboration with the Federal Ministry of Health supported by the Clinton Health Access Initiative. He is a consultant to National Bureau of Statistics, Nigeria Institute of Science Laboratory Technology and served as Survey Methodology expert in LearNigeria National Survey designed to generate empirical data on the foundational literacy and numeracy skills that Nigerian children aged 5 - 15 years possess [2016-2017]. He is an alumnus of Kwara State Polytechnic, Ilorin; The Polytechnic, Ibadan; University of Ibadan; and University of Ilorin, Nigeria. He obtained an ND in Statistics in 1995, HND in Mathematics and Statistics in 1998, PGD in Statistics in 2002, M.Sc. in Statistics in 2005, PGD in Education in 2006, B.Sc. (Hons) in Statistics in 2010, Ph.D. in Statistics in 2011 and M.Sc in Biostatistics in 2024. He served (NYSC) at Benue Cement Company, Gboko, Benue State [1999-2000]. Prof. Olayiwola began his academic career as an Assistant Lecturer at Ajayi Crowther University, Oyo [2007–2011], Lecturer II at Redeemer’s University, Mowe [2011], and joined FUNAAB in 2011. He rose through the ranks to become Professor in 2021. He has held several leadership positions including Head of Department, Department of Statistics [2019–2023], Deputy Dean, Postgraduate School [2025–date], Departmental Examination Officer, SIWES Coordinator, Level Coordinator, and Member of Senate and various University Boards and Committees at FUNAAB. He has also served as External Examiner to the postgraduate programmes of University of Ibadan, Federal University of Technology Akure, Olabisi Onabanjo University, Federal University of Technology Minna, Obafemi Awolowo University, Ile-Ife, Bells University of Technology, Ota and Oyo State College of Agriculture and Technology, Igboora, Nigeria. He is a leading scholar in Survey Methodology, Sampling Techniques, Official Statistics, and Statistical Capacity Building. He has authored over 74 peer-reviewed journal articles. His research interests include Survey Methodology, Sampling Techniques, adaptive cluster sampling, longitudinal surveys, machine learning for public health, and Survival Analysis. He has supervised 5 Ph.D. and 32 M.Sc. students to completion, with others ongoing, and over 100 B.Sc. projects. Prof. Olayiwola is a Chartered Scientist [awarded by Science Council UK in 2012], Chartered Statistician [awarded by the Royal Statistical Society, UK in 2012], Fellow of the Royal Statistical Society, UK, Member of president nominating committee for RSS, UK [2018 -2022], Member of the International Association for Official Statistics, Member of International Association of Survey Statisticians and Member of Chartered Institute of Statisticians of Nigeria. He is the Country Representative and Contact Person for the Royal Statistical Society, UK in Nigeria [2018–date], International Ambassador of the Biochemical Society, UK in Nigeria [2025 – date], the Country Representative and Contact Person for the International Association of Survey Statisticians and a key facilitator in the establishment of the Royal Statistical Society Nigeria Local Group [2018]. He has organized and led numerous national and international workshops and conferences, including RSS-IASS conferences in Nigeria, trainings for National Bureau of Statistics staff, staff of the FUNAAB University Health Centre and allied healthcare stakeholders, FUNAAB academic Planning Officers, Bureau of Statistics staff in Ogun state, and students on data analysis, survey design, R, STATA, SPSS, Python, and Healthcare Data Protection for Better Health Outcomes. He is a recipient of the RSS 2020 Mardia Prize for COVID-19 Response in Nigeria, Past Earth Network Outreach Prize [EPSRC funded, 2017], and several RSS, Maths Foresees, and SECURE travel grants. He has presented papers at RSS Annual International Conferences in the UK from 2008 to date. He is committed to capacity building and has initiated the Data Insights Extraction learning platform, Peer-Peer Assisted Learning programme, and virtual content for Statistics for nonmajor students at FUNAAB. Prof. Olayiwola was born on October 3, 1976 in Ilora, Oyo State, Nigeria and delivered FUNAAB 108th inaugural lecture titled “FROM SAMPLE TO SOLUTION: Harnessing Statistics for Evidence-Based Public Decision-Making in the Data Age,” on Wednesday, February 11, 2026, at the Prof. Oluwafemi Balogun Ceremonial Building. His professional motto is advancing statistical knowledge, capacity building, and data-driven policy in Nigeria and beyond.
a. Master of Science (M.Sc) in Biostatistics 2024
b. Doctor of Philosophy (Ph.D) in Statistics 2011
c. Bachelor of Science, B.Sc (Hons) in Statistics 2010
d. Post Graduate Diploma (PGD) in Education 2006
e. Master of Science (M.Sc) in Statistics 2005
f. Post Graduate Diploma (PGD) in Statistics 2002
g. Higher National Diploma (HND) in Mathematics and Statistics 1998
h. National Diploma (ND) in Statistics 1995
i. Senior Secondary School Certificate 1992
i. Enhancing Diabetes Care through Machine Learning: Predictive Analytics for Early Detection, Monitoring, and Intervention
ii. Development of predictive mathematical models for estimating ten-year reinfection probabilities of Neglected Tropical Diseases
i. Department of Education, UK Award: Qualify teacher in England 2025
ii. Chartered Scientist (CSci), The Science Council, United Kingdom 2012
iii. Chartered Statistician (CStat), The Royal Statistical Society, United Kingdom 2012
iv. The Royal Statistical Society, London, 2020 Mardia prize to support Covid-19 response in Nigeria. https://rss.org.uk/news-publication/news-publications/2021/general-news/2020%C2%A0mardia-prize-to-support%C2%A0covid-19-response-in/
v. Past Earth Network (University of Leeds, England, United Kingdom) prize to organize an outreach in Nigeria on Anhropogenic Climate Change: Management and Modelling, February 3, 2017, funded by Engineering and Physical Sciences Research Council (EPSRC), https://www.pastearth.net/outreach.htmlhttps://www.pastearth.net/conferences.html
vi. International Association of Survey Statisticians grants for promoting Statistical knowledge (2018 – present)
vii. Royal Statistical Society prize for promoting Statistical knowledge (2018 – present) www.rss.org.uk/nigeria
viii. Turing Gateway to Mathematics grants to attend 3rd Edward Symposium on Soft Matter, September 5 – 7, 2018 held at Centre for Mathematical Sciences, Cambridge, United Kingdom
ix. The Royal Statistical Society grants to attend 2016 Annual International Conference of the Royal Statistical Society, 5th of September to 8th of September 2016, held at University Place, University of Manchester, United Kingdom.
x. Maths Foresee grants to attend General Assembly of Maths Foresee, 5th -7th September 2016, held at St Leonard’s Hall, Edinburgh EH16 5AY, United Kingdom
xi. SECURE launch grants to attend SECURE launch conference, 11th of September, 2015, held at University of Glasgow, United Kingdom,
xii. Past Earth Network grants to attend Past Earth Network (University of Leeds) Conference, 1st of September to 4th of September 2015, held at Crewe Hall, United Kingdom.
xiii. Royal Statistical Society grants to attend 2014 Annual International Conference of the Royal Statistical Society, 1st of September to 4th of September 2014 held at Sheffied, United Kingdom.
xiv. Royal Statistical Society grants to attend Royal Statistical Society 2013 Annual International Conference, 2nd of September to 5th of September 2013, held at Nurthumbria University, Newcastle Upon Tyne, United Kingdom.
xv. Royal Statistical Society grants to attend 2012 Annual International Conference of the Royal Statistical Society, 3rd of September to 6th of September, 2012 held at Telford International centre, United Kingdom.
xvi. Royal Statistical Society grants to attend 2008 Annual International Conference of the Royal Statistical Society, 1st of September to 5th of September, 2008, held at East Midland Conference Centre Nottingham, United Kingdom.
xvii. Ilora Baptist Grammar School award for Best Student in over all subjects 1992
xviii. Ilora Baptist Grammar School award for best student in Mathematics 1992
xix. L.A. School, Gbajigbo award for best Student in over all subjects 1986
Appointment as Deputy Dean, Postgraduate School from December 17, 2025 to Date
Head of Department, Department of Statistics 2019 -2023
(i) Fellow, Royal Statistical society (FRSS), London, United Kingdom
(ii) Member, International Association for Official Statistics (International Statistical Institute)
(iii) Member, International Association of Survey Statisticians (International Statistical Institute)
(iv) Member, Past Earth Network, University of Leeds, United Kingdom https://www.pastearth.net/index.htmlhttps://www.pastearth.net/members.html
(v) Member, Statistics of Environmental Change, Resources and Ecosystems, University of Glasgow, United Kingdom
(vi) Member, Maths Foresees Network, University of Leeds, United Kingdom https://www1.maths.leeds.ac.uk/mathsforesees/partners.html
(vii) Member, International Biometric Society (Group Nigeria)
(viii) Member, Chartered Institute of Statisticians of Nigeria
i. Olayiwola O.M, Adeyemi Adeniran., Olawoyin Ishaq (2025): Mitigating Measurement Error and Non-Response Challenges in Survey Research. Royal Statistical Society 2025 Annual International Conference, Edinburgh, Edinburgh International Conference Centre, United Kingdom. September 1 – 4, 2025
ii. Olayiwola O.M, Igbalajobi M. M., Olayiwola O. D, Olayiwola T. A (2023): Joint Modelling of Longitudinal and Time-to-event data with heterogenous random effect and skew normal error term. Royal Statistical Society 2023 Annual International Conference, Harrogate, Harrogate Convention centre, United Kingdom. 4th of September to 7th of September 2023
iii. Olayiwola O.M (2022): Bias Reduction Model; A solution to National Security Challenges, Annual International Conference of the Royal Statistical Society, 12th of September to 16th of September 2022, held at PJ Live Aberdeen, Scotland, United Kingdom
iv. Olayiwola O.M. et al (2021): Modelling Rare Events in an Adaptive Cluster Sampling Design with Heterogeneity among Networks and within Network Units. The Royal Statistical Society 2021 Annual International Conference, Manchester, United Kingdom. 5th of September to 6th of September 20212
v. Olayiwola O.M., Audu A, Olawoyin I. O., Olawoore S. A, Ibrahim A (2020) A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables Under Two-Phase Sampling Scheme. 1st Annual Conference of the Royal Statistical Society Nigeria Local Group (RSS-NLG), February 5 – 6, 2020 held at Federal University of Agriculture, Abeokuta, Nigeria
vi. Olayiwola O.M. (2018). Royal Statistical Society 2018 Annual International Conference, Cardiff City Hall, United Kingdom. 5th of September to 6th of September 2018
vii. Olayiwola O.M. (2017). Modelling Climate variables. Royal Statistical Society 2017Annual International Conference, University of Strathclyde, Glasgow, United Kingdom.4th of Septemberto7th of September, 2017.
viii. Olayiwola O.M. (2016). Efficiency of Some Exponential Estimators for Estimating Heterogeneous Population Parameters. Royal Statistical Society 2016 Annual International Conference, University Place, University of Manchester, United Kingdom. 5th of September to 8th of September 2016
ix. Past Earth Network Conference, University of Leeds held at Crewe Hall, 1st of September to 4th of September 2015
x. Olayiwola O.M (2015) Vector Autoregressive Model for Monitoring Carbondioxide (CO2) Emission from the Consumption of fossil fuels. Royal Statistical Society 2015 Annual International Conference, University of Exeter, United Kingdom. 7thof September to 10th of September 2015.
xi. Apantaku F.S. Olayiwola O.M, Adewara A.A (2014): Optimum allocation of multi-items in stratified random sampling using principal component analysis. Royal Statistical Society 2014 Annual International Conference, Sheffied, United Kingdom. 1st of September to 4th of September 2014.
xii. Olayiwola O.M., Apantaku F.S, Bisira H.O, and Adewara A.A (2013): Efficiency of Neyman Allocation Procedure over equal and Proportional allocation procedures in Stratified Random Sampling. Royal Statistical Society 2013 Annual International Conference, Newcastle Upon Tyne, United Kingdom. 2nd of September to 5th of September 2013
xiii. Olayiwola O. M., G.N. Amahia, O.A. Oyegunle and A.A. Adewara (2012). Determination of Broiler Chicken’s maximum weight with respect to age and feeding rate. Royal Statistical Society 2012 Annual International Conference, Telford International centre, United Kingdom. 3rd of September to 6th of September, 2012.
xiv. Okunlade A.A and Olayiwola.O.M. (2008). The Multivariate Analysis of students’ Academic Performance in Nigerian Universities. Royal Statistical Society 2008 Annual International Conference, East Midland Conference Centre Nottingham, United Kingdom. 1st of September to 5th of September 2008.
1) Gali, M.O, Adewara, A.A. Oladosu, M.O., Olayiwola, O.M. and Nafiu, L.A. (2008): On Efficiency of Some Combined Ratio Estimators in Stratified Random Sampling,Journal of Modern Mathematics and Statistics 2 (5): 170-173. Published by Medwell Journals, Pakistan. www.medwellonline.net
2) Oladosu M.O., Adewara, A.A. and Olayiwola O.M (2008): An Application of Kadilar and Cingi combined stratified ratio estimator to combined regression stratified estimator. Journal of Mathematical Sciences, 19(2), 179-185. Indian
3) Akomolafe. A. A, Olayiwola O.M., and Bello, O. A. (2008). Using Multivariate Analysis to Identify Students at risk in Nigerian Universities’ Journal of Educational Research and Policies, 3(4), 87 – 91. Published by Duncan Science Company, Nigeria.
4) Olowokere, C.J, Olayiwola O.M, Odina G. (2009). Comparison of five models for assessing Patient Dose from Radiological Examinations African Journal Biomedical Engineering, 1, 21-29. Published by Afrobiomedical Engineering and Science, Nigeria.
5) Olayiwola O.M, Amahia, G. N., Adepoju, A.A., Salawu, O.O. (2010). Longitudinal Survey Participation Patterns in the South Western Region of Nigeria. International Journal of Social Sciences. 2 (1), 88 – 94. Published by Pan African Book Company, Ghana.
6) Olayiwola O.M., Amahia, G.N, Adewara, A.A. and Chukwu, A.U. (2011): Application of Response Surface Methodology for Capturing Optimum Response in a Longitudinal Survey, International Journal of Applied Science and Technology. 1 (5), 171-176. Published by Centre for Promoting Ideas, USA . www.ijastnet.com.
7) Olayiwola O.M., Salawu, O. O., Oyenuga, I.F. Oyekunle, J. O. Ayansola, O. A. Olajide, J.T. and Agboluaje, S. A. (2011):On Statistical Analysis Of impact of Socio Economic Factors On Students’ Academic Performance, International Journal of Research and Reviews in Applied Sciences, Pakistan, 8(3), 395-399. www.arpapress.com/Volumes/Vol8Issue3/IJRRAS
8) Olayiwola O.M., Amahia, G.N and Adewara, A.A. (2011) Survey Response across various levels of response predictors in some selected communities in Oyo town, Oyo State, Nigeria, Elixir Statistics, 36, 3241 – 3244. Published by Elixir International Publishers, Indian www.elixirjournal.org
9) Olayiwola O.M, Adewara, A.A. and Amahia, G. N.(2011) On the effect of daily average reading and sleeping hours on students’ cumulative Grade point Average (CGPA) Elixir Statistics, 34, 2371 – 2374. Published by Elixir International Publishers, Indian www.elixirjournal.org
10) Dawodu. O.O, A.A. Adewara and Olayiwola O.M, (2011),: Efficiency of Alodat Sample Selection Procedure over Sen – Midzuno and Yates – Grundy Draw by Draw under Unequal Probability Sampling Without Replacement Sample Size 2.,Journal of Mathematics Research, Canada. 3 (2), 113 – 118, Published by Canadian Center for Education, www.ccsenet.org/jmr#
11) Olayiwola O.M, Amahia, G.N. and Adewara, A.A. (2011) On Patterns of Refusals Conversion and Propensity of Converted Refusals To Respond At Later Waves In A Longitudinal Survey. Journal of Mathematics Research, Canada, 3 (1), 121 – 124. Published by Canadian Center for Education, www.ccsenet.org/jmr
12) Olayiwola O.M. Agboluaje, S.A, Salawu O.O. and Fantola, J.O. (2012): On double sampling approach for comparing estimates of students’ enrolment in Oyo state public secondary schools, Elixir Statistics, 43, 6994-7003. Published by Elixir International Publishers, Indian www.elixirjournal.org
13) Oyegunle, O. A., Amahia, G. N. Olayiwola O. M. and Adewara, A. A. (2012): Application of factorial design and response surface methodology on growth rate of broiler chickens served with fluted pumpkin leaves extract, Indian, Elixir Statistics, 43, 6839-6842. Published by Elixir International Publishers, Indian www.elixirjournal.org
14) Olayiwola, O.M, Agboluaje,S.A., Salawu, O.O. and Fantola, J.O. (2012) Patterns of response and non-response in longitudinal survey of Oyo Community, Oyo state, Nigeria. Elixir Statistics,49 (2012) 9817-9820.Published by Elixir International Publishers, Indian www.elixirjournal.org
15) Apantaku F.S. Olayiwola O.M, andAdewara A.A (2013): Optimum allocation of multi-items in stratified random sampling using principal component analysis. American Journal of Theoretical and Applied Statistics; 2 (5), 142-148. Published by Science Publishing Group,NY,USA.http://articl;e.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20130205.14.pdf
16) Olayiwola O.M, Apantaku F.S, Bisira H.O, and Adewara A.A (2013): Modelling Optimum Response in a Longitudinal Survey, Global Journal of Science Frontier Research, 13 (8), 105 – 115. Published by Global Journal Inc, Wakefield, Massachusetts (MA), USA. http://journalofscience.org/index.php/GJSFR/article/view/978/843
17) Olayiwola O.M, Apantaku F.S, Bisira H.O, and Adewara. A.A (2013): Prediction of Stock Price using Autoregressive Integrated Moving Average, Global Journal of Science Frontier Research, 13 (8), 79 – 87. Published by Global Journal Inc, Wakefield, Massachusetts (MA), USA. http://journalofscience.org/index.php/GJSFR/article/view/976/841
18) Olayiwola O.M, Apantaku F.S, Bisira H.O, and Adewara A.A (2013): Efficiency of Neyman allocation procedure over other allocation procedures in stratified random sampling, American Journal of Theoretical and AppliedStatistics; 2 (5), 122-127. Published by Science Publishing Group, NY, USA. http://articl;e.sciencepublishinggroup.com
19) Agwuegbo S. O.N, Adewole A.P, Olayiwola O.M, and Apantaku F.S, (2014):Signal Model for the Prediction of Wind Speed In Nigeria, Journal of Energy Technologies and Policy. 4 (6), 38 – 44. Published byThe International Institute for Science, Technology and Education and University of North Carolina, Charlotte, United States.www.iiste.org
20) Agwuegbo S. O.N, Adewole A.P, Olayiwola O.M, and Apantaku F.S, (2014): State-Dependent Model for the Analysis of Inflationary Rates. Mathematical Theory and Modeling, 4 (7), 84 – 89. Published by The International Institute for Science, Technology and Education, University of North Carolina, Charlotte, United Stateswww.iiste.org
21) Apantaku F.S., Asiribo O.E, Adelakun A. A., Amahia G.N and Olayiwola O.M, (2014): Optimum allocation in stratified and post stratified sampling designs. Elixir Statistics, 67 (2), 21836 -21845. Published by Elixir International Publishers, Indian. www.elixirjournal.org
22) Olayiwola, O.M., Lawal. G. O. Amalare, A.A , Agboluaje, S. A, and Fantola, J. O (2015) Analysis of Nigeria Gross Domestic Product Using Principal Component Analysis. Journal of Advances in Mathematics.10 (6), 3547 – 3555. Published by Council for Innovative Research, USA, www.cirjam.com
23) Olayiwola, O.M., Lawal. G. O. , Amalare, A.A , Agboluaje, S. A, and Fantola, J. O (2015) Modelling Nigeria Population Growth Rate. Journal of Advances in Mathematics. 10 (6), 3567 -3574. Published by Council for Innovative Research, USA. www.cirjam.com
24) Olayiwola, O. M., Agwuegbo S. O.N, Bisira, H.O, Aderele. O. R, and Adeniyi, M. O. (2015) Vector Autoregressive Model for Monitoring Carbondioxide (CO2) Emission from the Consumption of fossil fuels. Elixir Statistics, 78, 29844 – 29852. Published by Elixir International Publishers, Indian. www.elixirjournal.org
25) Olayiwola, O. M., Bisira, Wale-Orojo O.A, Aderele. O. R, and Adeniyi, M. O.(2015). Modelling relationship between students’ pre and post admission performances. Elixir Statistics, 78, 29853 – 29858. Published by Elixir International Publishers, Indian. www.elixirjournal.org
26) Akintunde, A.A., Agwuegbo, S.O.N., Waheed, M.A., Asiribo, O.E., and Olayiwola O.M. (2015). Modelling Nonlinear Dynamical Systems. Annals. Computer Science Series. Volume13, issue 1, 30-38. Tibiscus University of Timisoara, Romania.
27) Olayiwola O.M., A.A. Adewara, and T.O. Ayeleso (2015): A Modified Exponential Ratio-Type Estimator in Stratified Ranked Set Sampling .The Pacific Journal of Science and Technology, Volume 16. Number 2. November 2015 (Fall) , 82-89, http://www.akamaiuniversity.us/PJST.htm
28) Olayiwola O.M., F.S. Apantaku, A. A. Adewara and A.F. Gboyega (2015) Modified Ratio Estimator Using Multiple Auxiliary Variables. The Pacific Journal of Science and Technology, Volume 16. Number 2. November 2015 (Fall), 108 -113
29) http://www.akamaiuniversity.us/PJST.htm
30) Olayiwola O. M., and Ayeleso T. O (2015) Efficiency of Some Exponential Estimators
31) for Estimating Heterogeneous Population Parameters. Annals. Computer Science Series.,Volume13, series 2, 47-54. Tibiscus, University of Timisoara, Romania. http://www.anale-informatica.tibiscus.ro
32) Olayiwola O.M., F.S. Apantaku and Ajayi A. O.(2015) Comparison Of Estimates On Two Occasions Involving Stratification Using Successive Sampling.Annals. Computer Science Series. Volume13, series 2, 94-102. Tibiscus University of Timisoara, Romania, http://www.anale-informatica.tibiscus.ro
33) Asiribo O. E, Isah A., Olayiwola, O.M. and Kanwai M.E (2015) Use of Auxiliary Variables and Asymptotically Optimum Estimator to Increase Precision, Journal of the Nigerian Statistical Association, volume 27, pg 30 – 40. Published by the Nigerian Statistical Association.
34) Olayiwola O. M., Popoola R. A and Bisira H. O (2016) A Modified Regresion Estimator For DoubleSamplling. Annals. Computer Science Series. Volume14, series 1, 44-49. Tibiscus University of Timisoara, Romania, http://www.anale-informatica.tibiscus.ro
35) Olayiwola O.M., Adewara A.A. and H.O. Bisira H. O (2016) Influence of Social Demographic Characteristics on Respondents’ Responses in a LongitudinalSurvey.The Pacific Journal of Science and TechnologyVolume 17. Number 1. May 2016 (Spring), 89-97. http://www.akamaiuniversity.us/PJST.htm
36) Dawodu G.A, Agwuegbo, S.O.N, Olayiwola O.M, Akintunde A.A, Wale-Orojo O.A and Yusuff K.M (2018), A Bayessian Approach Towards Capturing the Vulnerability to Toxicity of Some Artisans’ Blood, Journal of the Nigerian Association of Mathematical Physics, volume 44, pg 185 – 190. Published the Nigerian Association of Mathematical Physics.
37) Akintunde A. A., Olayiwola O. M., AgwuegboS. O. N., Dawodu G. A. (2016) Stochastic Signal Modeling of Economic Indicators. The Pacific Journal of Science and TechnologyVolume 17. Series 2. November 2016 (Fall), 213-217. Published by Akamai University. http://www.akamaiuniversity.us/PJST.htm.
38) Akinwunmi F., Akinhanmi T.F. Atobatele Z.A., Adewole O., Odekunle K., Arogundade L.A. Odukoya O.O, Olayiwola. O.M. Ademuyiwa O. (2016) Heavy metal burdens of public primary school children related toplayground soils and classroom dusts in Ibadan North-West localgovernment area, Nigeria. Elsevier Journal of Environmental Toxicology and Pharmacology 49 (2016) 21–26, www.elsevier.com/locate/etap
39) Olayiwola, O.M., Ajayi A.O., and Adegoke, S.A. (2016) On a Modified Regression-Ratio type Estimator for homogeneous and heterogeneous populations.African Journal of Science and Nature. Volume 2, 12-15. Published by Olabisi Onabanjo University Ago-Iwoye, Ogun State, Nigeria. http//www.journal.oouagoiwoye.edu.ng
40) Olayiwola, O. M., Ajayi, A.O. and Okunlade, A A (2016) A Modified Post-Stratified Regression Estimator for two occasions and using two variables. African Journal of Science and Nature. Volume 2, 24-28. Published by Olabisi Onabanjo University Ago-Iwoye, Ogun State, Nigeria. http//www.journal.oouagoiwoye.edu.ng
41) Olayiwola O. L, Ojebode T.O, Adekanye O.S, Olayiwola O.M., Idris. O (2016) Socio-demographic and behavioural correlates of the malaria prevention methods utilized by families of under-five children diagnosed with malaria malaria at Baptist Medical Centre, Saki. Nigerian Journal of family practice, volume 7, No 3 gg 43 – 58, published by the society of Physicians of Nigeria. http://www.ajol.info.article.view
42) Olayiwola O.M, Amalare.A.A and Ajayi A.O (2016): A Modified Multivariate Family Of Estimators. FUNAI Journal of Science and Technology.1(1), 2016, 97-104
43) Published by Federal University of NdufuAlike Ikwo Abakaliki, Nigeria.
44) Olayiwola O. M, Amalare A.A and Olaoye O. R (2017): Modelling Climate Variables, Journal of Nigeria Association of Mathematical Physics. volume 39 pp 497 – 484. Published by Nigeria Association of Mathematical Physics
45) Wale-Orojo O.A, Olayiwola O.M, Yusuff K.M. and Olawore.S.A (2017): Comparison of Stratified Diagonal Rank Set Sampling and Stratified Simple Random Sampling Estimators. Journal of Nigeria Association of Mathematical Physics, volume 40, pp 173-176. Published by Nigeria Association of Mathematical Physics
46) Olayiwola O. M, Apantaku F.S and Sohe E. M (2017): A stratified randomized response technique for addressing sensitive questions in survey, Transactions of the Nigeria Association of Mathematical Physics,volume 3, pp143 -150. Published by Nigeria Association of Mathematical Physics.
47) Dawodu G.A, Olayiwola O.M, Asiribo O.E(2018), On Bayesian Analysis of Univariate Longitudinal Clinical Data (ULCD), The Pacific Journal of Science and TechnologyVolume 19. Series 1. May 2018 (Spring). Published by Akamai University.http://www.akamaiuniversity.us/PJST.htm
48) Akintunde A.A, Agwuegbo S.O. N. and Olayiwola O.M (2017): Markov Models for the Analysis of Dynamical Systems. Journal of Natural Sciencies, Engineering and Technology, volume 16 number 1. Publisher: Federal University of Agriculture, Abeokuta
49) Olayiwola O.M., Apantaku F. S, Wale-Orojo O.A., Ajayi A. O. Konku A.M. (2019) Probability Proportional To Size (PPS) Method To Enhance Efficiency Of Estimator In Two Stage Sampling. Annals. Computer Science Series.Volume17, series2,315- 321. Tibiscus University of Timisoara, Romania, http://www.anale-informatica.tibiscus.ro
50) Peter I. Ogunyinka, Emmanuel F.Ologunleko, B.T.Efuwape, O.M.Olayiwola, Dawud A. Agunbiade (2019). Efficiency of Data Transformation and Correction Factor Methods on The Correction of Extreme Value Effect In Sample Survey Theory. Annals. Computer Science Series.Volume17, series2,272- 282 Tibiscus University of Timisoara, Romania, http://www.anale-informatica.tibiscus.ro
51) Tajudeen Adeniji Adetunji, Olusegun Folorunso, Olufunke Rebecca Vincent, Olaniyi Mathew Olayiwola (2019). Stemming anomaly propagation in software systems using ontology, Journal of Computer Science and Its Application, volume 26, 2, 158- 127. Published by Nigeria Computer Society. https://www.ajol.info/index.php/jcsia/article/view/193195
52) Amalu P.C, Okonkwo C. O, and Olayiwola. O. M (2019).Verification of the Accuracy of an Instrument Landing System’s Localizer: A Study of an International Airport in Nigeria, ThePacificJournalofScienceandTechnologyVolume2o.Series2. 68 – 75. Published by Akamai University. http://www.akamaiuniversity.us/PJST.htm
53) Olayiwola. O. M., Ajayi.A.O, Aderibigbe.T.A, Nurudeen.T.S and Akintola.K.A (2019). A Modified Estimator in Adaptive Cluster Sampling. Journal of Nigeria Association of Mathematical Physics, volume 51, pp113-118. Published by Nigeria Association of Mathematical Physics
54) Dawodu. G. A, Mustapha. A. O and Olayiwola. O. M (2020) Radon Concentration using Zero Inflated Negative Binomial (ZINB) Modeling. The Pacific Journa lof Science and Technology Volume21.Series1May2020 (Spring). Published by Akamai University.http://www.akamaiuniversity.us/PJST.htm
55) Olayiwola. O. M, Ajayi. A. O, Akintunde. A. A, Wale-Orojo. O. A, Ajibade. F. B, and Ojelabi. O (2020). Estimation of the Population Mean in the Presence of Measurement and Response Error, Annals. Computer Science Series.Volume18series1,48- 52. Tibiscus University of Timisoara, Romania, http://www.anale-informatica.tibiscus.ro
56) Apantaku F. S., Olayiwola, O.M., AkintundeA. A. and Adeyemo R. G (2020) Amodified Estimator for Quartile Ranked Set Sampling. Journal of Nigeria Association of Mathematical Physics, volume56, Published by Nigeria Association of Mathematical Physics
57) Olayiwola O. M, Akintunde A.A. Wale-Orojo A. O., Ajibade F. B.and Adekpe D. O. (2020) jackknife approaches for improvimg data quality. Transactions of the Nigeria Association of Mathematical Physics, volume11, Published by Nigeria Association of Mathematical
58) Isqeel I. A., Olayiwola O. M., Sowola B. O (2020): Modelling Unemployment Rates in Nigeria using Time Series Approach. Asian Journal of Mathematical Sciences. 4 (2), 4 -9. Published by Mandsaur University, Mandsaur. Available online at http://www.ajms.in/index.php/ajms/issue/view/25
59) Ekong, A. H., and Olayiwola O. M. (2020): A geographically weighted regression approach to examine the dynamics of fertility differentials across Africa. Statistical Journal of the International Association for Official Statistics. Published by International Association for Official Statistics, United States. 36 (1), 87–102. Published by Available online at: (https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji200717) Indexed in Scopus and Scimago
60) Olayiwola. O. M., Apantaku, F. S., Oyekunle, K. A., Akintunde, A. A., Wale-Orojo, O. A. and Olawoore, S. A. (2020): A Modified Calibration Approach for Ratio Estimator in Stratified Sampling. Federal University Dutsin-Ma Journal of Sciences (FJS). 4 (4), 507 – 512. Published by Federal University Dutsin-Ma, Katsina State Nigeria. Available online at https://www.fjs.fudutsinma.edu.ng/index.php/fjs/issue/view/5
61) Olayiwola O. M., Ajayi A. O., Onifade O. C., Wale-Orojo O. A. and Ajibade B. (2020): Adaptive cluster sampling with model based approach for estimating total number of hidden COVID-19 carriers in Nigeria. Statistical Journal of the International Association for Official Statistics., 36 (1), 103 – 109. Published by International Association for Official Statistics, United States. Available online at: (https://content.iospress.com/download/statistical-journal-of-the-iaos/sji200718?id=statistical-journal-of-the-iaos%2Fsji200718. Indexed in Scopus and Scimago
62) Olawoyin I. O., Ahmed A, Olayiwola O. M., Abdulazeez S.A (2021): Chain Ratio-Type Estimator of Finite Population Mean Under Two-Phase Sampling in Systematic Sampling Scheme. Annals of Optimization Theory and Practice. 4 (1), 15 – 28. Published by Firouzabad Institute of Higher Education, Iran. Available online at http://aotp.fabad-ihe.ac.ir/article_129425.html
63) Olayiwola, O. M., Adekeye, K. S., Apantaku F. S., Ajayi A. O. , Wale-Orojo O. A., Ogunsola I. A. and Hammed B. (2021): Integration of Bayesian Model and Adaptive Clustered Sampling into Contact Tracing to curb the spread of Covid -19 Cases. Federal University Dutsin-Ma Journal of Sciences (FJS). 5 (1), 76 – 84. Published by Federal University Dutsin-Ma, Katsina State Nigeria. Available online at: https://www.fjs.fudutsinma.edu.ng/index.php/fjs/issue/view/6
64) Mathew Olaniyi Olayiwola, Ishaq Olatunji Olawoyin and Ahmed Audu (2021): New Exponential-Type Estimators of Finite Population Variance Using Auxilliary Information. Sri Lanka Journal of Applied Statistics. Vo;ume 22-2, pp 56 – 76 https://sljastats.sljol.info/articles/10.4038/sljastats.v22i2.8047
65) Kayode S. Adekeye, Kelvin E. Igwe and Olaniyi M. Olayiwola (2021): On Pooled OLS and Panel Regression Models for Assessing the Contributions of Electronic Payment System on Commercial Banks Profitability. Journal of Statistics: Advances in Theory and Applications Volume 25, Number 2, 2021, Pages 61-81
66) Olayiwola O. M. Apantaku F. S., Imarhia F. O., Yusuff K. M., Ogunsola I. A and Olawoore S.A (2022): A Modified Estimator for Population Parameters in the Presence of Outliers, UNIPORT Journal of Engineering and Scientific Research. Publisher: University of Port Harcourt. Volume 6, issue 1, pp 85 – 89
67) Apantaku F. S., Olayiwola O. M., Ajayi A.O., Jaiyeola O. S (2022): A Modified Generalized Chain Ratio in Regression Estimator, Journal of Natural Sciences, Engineering and Technology. Publisher: Federal University of Agriculture, Abeokuta, Nigeria.
68) O. A. Wale-Orojo, O. M. Olayiwola, F. S. Apantaku and A. o. Ajayi (2022): Modelling Rare Events in an Adaptive Cluster Sampling Design with Heterogeneity among Networks and within the Network Units. Sri Lanka Journal of Applied Statistics. Vo;ume 23-2, pp 1 – 28 https://sljastats.sljol.info/articles/10.4038/sljastats.v23i1.8041
69) O. A. Wale-Orojo, O. M. Olayiwola, Akintunde A. A. Olawoore S. A, and Igbalajobi M. M. (2022): A Modified Population Mean Estimator in Two Phase-Sampling. UNIPORT Journal of Engineering and Scientific Research. Publisher: University of Port Harcourt. Volume 6, issue 2, pp 44 – 51
70) Aniefiok Henry Ekong, Matthew Olaniyi Olayiwola, Abayomi Ganiyu Dawodu and Ademola Idowu Osinuga (2024): Latent Gaussian Approach to Joint Modelling of Longitudinal and Mixture Cure Outcomes. Computational Journal of Mathematical and Statistical Sciences 4(1), 72-95 DOI:10.21608/cjmss.2024.303748.1061 https://cjmss.journals.ekb.eg/
71) Ekong, A. H., Olayiwola, O. M., Dawodu, A. G., & Osinuga, A. I. (2025). A latent gaussian joint modelling of multivariate longitudinal and mixture cure outcomes with application to aortic valve replacement surgery data. Brazilian Journal of Biometrics, 43(4), . https://doi.org/10.28951/bjb.v43i4.776
72) *O. A. Wale-orojo, o. O. Ojebode, d. O. Atanda and O. M. Olayiwola (2025). Improving rare event estimation in public health surveys: A bayesian hierarchical approach within adaptive cluster sampling. Sri Lankan Journal of Applied Statistics. https://sljastats.sljol.info/articles/10.4038/sljas.v26i3.8204
73) Z. O. Aremu, O. M. Olayiwola, G. A. Dawodu, I. A. Oshinuga (2025). Efficient model selection for high-dimensional and hierarchical data using bayesian hierarchical generalized linear models with lasso regularization. Journal of the Royal Statistical Society Nigeria Group. https://publications.funaab.edu.ng/index.php/JRSS-NIG/article/view/2004
74) A.K. Olakiigbe, G. A. Dawodu, O. M. Olayiwola, S. A. Olurode (2025). Design-based Generalized Linear Mixed Model for binomial outcome two-stage survey using Laplace approximation with application to 2021 Nigeria malaria indicator survey data. The Transactions of the Nigerian Association of Mathematical Physics.
75) Olayiwola O.M., Audu A, Olawoyin I. O., Olawoore S. A, Ibrahim A (2020) A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables Under Two-Phase Sampling Scheme. Edited Proceedings of 1st Annual Conference of the Royal Statistical Society Nigeria Local Group (RSS-NLG). Prof. O.E Asiribo, Prof. G. N. Amahia, Prof. K.S. Adekeye, Prof. A. A. Adewara and Prof. D. A. Agunbiade (Eds). 80 – 95. Published by RSS-NLG
76) 73) Akinniyi S.O, Folorunso O, Ibharalu F. T and Olayiwola O.M (2017), An Intelligent Risk-Based Access Control Model for Process Aware Information Systems. Edited Proceedings of 2nd International Conference on Applied Information Technology, Akinwale Adio, Onashoga Adebukola, Abayomi-Ali Adebayo and Aborisade Oluwaniyi (Eds). 204 -211. Published by Nigeria Computer Society
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