In International Journals

(1)  Molenberghs, G., Verbeke, G., and Iddi, S. (2011). Pseudo-likelihood Methodology for Partitioned Large and Complex Samples. Statistics and Probability Letters, 81, 892-901. » http://dx.doi.org/10.1016/j.spl.2011.01.012  

(2)  Iddi, S. and Molenberghs, G. (2012). A Combined overdispersed and Marginalized Multilevel Model. Computational Statistics and Data Analysis, 56, 1944-1951.  »  http://dx.doi.org/10.1016/j.csda.2011.11.021 

(3)  Molenberghs, G., Verbeke, G., Iddi, S., and Demetrio, C., (2012). A Combined Beta and Normal Random-effects Model for Repeated, Overdispersed Binary and Binomial Data. Journal of Multivariate Analysis, 111, 94-109.  » http://dx.doi.org/10.1016/j.jmva.2012.05.005

(4)  Iddi, S. and Molenberghs, G. (2012). A Joint Marginalized Multilevel Model for Longitudinal Outcomes. Journal of Applied Statistics, 39(11), 2413-2430.  » doi:10.1080/02664763.2012.711302 

(5)  Iddi, S. and Molenberghs, G. (2013). A Marginalized Model for Zero-Inflated, Overdispersed and Correlated Count Data. Electronic Journal of Applied Statistical Analysis, 6(2), 149-165. »  http://dx.doi.org/10.1285/i20705948v6n2p149 

(6)  Molenberghs, G., Kenward, M. G., Verbeke, G., Iddi, S., and Efendi, A. (2013). On the Connection Between Bridge Distributions, Marginalized Multilevel Models, and Generalized Linear Mixed Models. International Journal of Statistics and Probability, 2(4), 1-21.  » http://dx.doi.org/10.5539/ijsp.v2n4p1

(7)  Efendi, A., Molenberghs, G., and Iddi, S. (2013). A  Marginalized Combined Model for Repeated, Overdispersed Time-to-event Outcomes. Communications in Statistics- Theory and Methods, 43(22), 4806-4828. » DOI:10.1080/03610926.2012.740125 

(8)  Iddi, S., Molenberghs, G., Aregay, M., and Kalema, G. (2014). Empirical Bayes Estimates for Correlated Hierarchical Data with Overdispersion. Pharmaceutical Statistics, 13, 316-326. » doi:10.1002/pst.1635 

(9)  Coppens, E., Iddi, S., Van Audenhove, C., Arensman, E., Coffey, C., Gusmao, R. Quintao, S., Costa, S., and Hegerl, U. (2014). Effectiveness of community facilitator training in improving knowledge, attitudes, and confidence in relation to depression and suicidal behavior: Results of the OSPI-Europe intervention in four European countries. Journal of Affective Disorders, 165, 142-150. » doi:10.1016/j.jad.2014.04.052

(10)  Kalema, G., Iddi, S. and Molenberghs, G. (2016). The combined model: A tool for simulating correlated counts with overdispersion. Communications in Statistics - Simulation and Computation, 45(7), 313-337.   » http://dx.doi.org/10.1080/03610918.2014.906610

(11)  Quansah, R., Bend, J.,  Abdul-Rahaman, A., Armah, F. A.,  Luginaah, I., Essumang, D. K., Iddi, S., Chevrier, J., Cobbina, S. J., Nketiah-Amponsah, E., Adu-Kumi, S., Darko, G., Afful, S. (2016). Associations between Pesticide Use and Respiratory Symptoms: A Cross-sectional Study in Southern Ghana. Environmental Research, 150, 245-254. » http://dx.doi.org/10.1016/j.envres.2016.06.013

(12) Nortey, E. N. N., Darkwah, K. A., Asare-Kumi, A. and Iddi, S. (2016). Determinants of Working Capital

Management on Profit for Manufacturing Firms. The International Journal Of Business & Management, 4(1), 302-308

(13)  Iddi, S., and Doku-Amponsah, K. (2016). Statistical model for overdispersed count outcome with many zeros: an approach for direct marginal inference. South African Journal of Statistics, 50, 313-330. »http://hdl.handle.net/10520/EJC194757 

(14)  Iddi, S., and Nwoko, E. O. (2017). Effect of covariate misspecifications in the marginalized zero-inflated Poisson model. Monte Carlo Methods and Applications23 (2), 111–120.  » https://doi.org/10.1515/mcma-2017-0106​​

(15)  Li, D., Iddi, S., Thompson, W. K. and Donohue, C. M. (2017). Bayesian latent time joint mixed effect models for multicohort longitudinal data. Statistical Methods in Medical Research, 00: 1-11.  » https://doi.org/10.1177/0962280217737566

(16)  Somua-Wiafe, E., Asare-Kumi, A., Nortey, E. N. N., and Iddi, S. (2018). Modelling vehicular crash mortalities in Ghana. Model Assisted Statistics and Applications, 13(3): 287-295. » doi:10.3233/MAS-180433

(17)  Iddi, S., Li, D., Aisen, P., Rafii, M., Thompson, W., Litvan, I. and Donohue, C. M. (2018). Estimating the evolution of disease in the Parkinson’s Progression Markers Initiative. Neurodegenerative Diseases, 18: 173-190.  » https://www.karger.com/Article/Pdf/488780

(18)  Li, D., Iddi, S., Thompson, W. K., Rafii, M. S., Aisen, P. S., Donohue, M. C. (2018). Bayesian latent-time joint mixed-effects model of progression in the Alzheimer's Disease Neuroimaging Initiative. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 10: 657-668 » https://doi.org/10.1016/j.dadm.2018.07.008.​

(19)  Kadengye, D., Iddi, S., Hunter, L., and McCoy, S. I. (2019). Effectiveness of potential interventions to change gendered social norms on prevalence of intimate partner violence in Uganda: A causal inference approach. Prevention Science, 20(7): 1043-1053.  » https://doi.org/10.1007/s11121-019-01010-8.

(20)  Iddi, S., Li, D., Aisen, P. S., Rafii, M. S., Thompson, W. K., Donohue, M. C. (2019). Predicting the course of Alzheimer's progression. Brain Informatics, 6:6. » https://doi.org/10.1186/s40708-019-0099-0​

(21)  Li, D., Iddi, S., Aisen, P. S., Thompson, W. K., Donohue, M. C. (2019). The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's. Alzheimer's & Dementia: Translational Research & Clinical Interventions, 5:308-318. » https://doi.org/10.1016/j.trci.2019.04.004

(22) Quansah, R., Armah, A. F., Bonney, F., Asiedu, J., Yawson, O. D., Osei, A. M., Luginaah, I., Essumang, D. K., Abdul-Rahaman, A., Cobbina, S., Bend, R. J., Iddi, S., Tersigni, M., Afful, S., Osei-Fosu, P., and Nketiah-Amponsah, E. (2019). Respiratory and Non-respiratory Symptoms Associated with Pesticide Management Practices among Farmers in Ghana’s Most Important Vegetable Hub. Environmental Monitoring and Assessment,  191:716. » https://doi.org/10.1007/s10661-019-7898-x 

(23) Atahigwa, C, Kadengye, D. T., Iddi, S., Abrams, S., Rie, A. V. (2020). Trends and determinants of health facility childbirth service utilization among mothers in urban slums of Nairobi, Kenya. Global Epidemiology, 2, 100029​.​​ » https://doi.org/10.1016/j.gloepi.2020.100029

(24) Wamukoya, M., Kadengye, D.T., Iddi, S., Chikozho, C., for the Nairobi Urban Health and Demographic Surveillance System  (2020). The Nairobi Urban Health and Demographic Surveillance of slum dwellers, 2002-2019: Value, processes, and challenges. Global Epidemiology, 2, 100024. » https://doi.org/10.1016/j.gloepi.2020.100024

(25) ​​​Iddi, S., Kadengye, D. T., Kiwuwa-Muyingo, S., Mutua, M. K., Asiki, G. (2020). Associated factors of pregnancy loss in two urban slums of Nairobi: A Generalized Estimation Equations approach. Global Epidemiology, 2, 100030  »  https://doi.org/10.1016/j.gloepi.2020.100030

(26) Kiwuwa-Muyingo, S., Iddi, S., Ochaga, S., Langat, N., Kadengye, D. T. (2020). Examining gender differences in adult mortality mediated by household poverty in two urban slums of Nairobi. Global Epidemiology. 2, 100032  » https://doi.org/10.1016/j.gloepi.2020.100032

​(27) Dwomoh, D., Adu, B., Dodoo, D., Theisen, M., Iddi, S. and Gerds, T. A. (2020). Evaluating the predictive performance of malaria antibodies and FCGR3B gene polymorphisms on Plasmodium falciparum infection outcome: a prospective cohort study. Malaria Journal, 19, 307 » https://doi.org/10.1186/s12936-020-03381-8.  

(28) Bagayoko, M., Okeyo, D., Kadengye, D. T., Iddi, S. (2020). Understanding wealth transitions in Nairobi urban slums with a time-homogeneous multi-state transition model. Global Epidemiology. 2, 100032  ​» https://doi.org/10.1016/j.gloepi.2020.100037

(29) Mutua, M. K., Mohamed, F. S., Iddi, S., Kiwuwa-Muyingo, S., Mwangi, B., and Kadengye, D. T. (2020). Do inequalities exist in the disadvantaged populations? Levels and trends of full and on-time vaccination coverage in two Nairobi urban informal settlements. Global Epidemiology, 2, 100044 » https://doi.org/10.1016/j.gloepi.2020.100044

(30) Tawiah, K., Iddi, S. and Lotsi, A. (2020). On zero-inflated hierarchical Poisson models with application to maternal mortality data. International Journal of Mathematics and Mathematical Sciences, 2020, 1407320. » https://doi.org/10.1155/2020/1407320 

(31) Dwomoh, D., Iddi, S., Adu, B., Aheto, J. M., Sedro, K. M., Fobil, J., and Bosomprah, S. (2021). Mathematical Modelling of COVID-19 infection dynamics in Ghana: impact evaluation of integrated government and individual level interventions. Infectious Disease Modelling. 6, 381-397.» https://doi.org/10.1016/j.idm.2021.01.008

(32) Asiki, G., Kadengye, D. T., Calvert, C., Wamukoya, M., Mohamed S. F., Ziraba, A., Iddi, S.,  Bangha, M., Wekesah, F., Chiokzho, C., Price, A., Crampin, M., Kyobutungi, C. Trends and risk factors for non-communicable diseases mortality in Nairobi slums (2008–2017). (2021). Global Epidemiology, 3:100049.  » https://doi.org/10.1016/j.gloepi.2021.100049

​(33) Iddi, S., Okeyo, D., Bagayoko, M., Kiwuwa-Muyingo, S., Chikozho, C., Kadengye, D. T. (2021). Determinants of transitions in water and sanitation services in two urban slums of Nairobi: A multi-state modelling approach. Global Epidemiology, 3:100050. » https://doi.org/10.1016/j.gloepi.2021.100050

(34) Nortey, E. N. N., Pometsey, R., Asiedu, L., Iddi, S., Mettle, F. O. (2021). Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression. International Journal of Mathematics and Mathematical Sciences, 2021:6667671. » https://doi.org/10.1155/2021/6667671

(35) Asiedu, L., Essah, B. O., Iddi, S., Doku-Amponsah, K., and Mettle, F. O. (2021). Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images. Journal of Applied Mathematics, 2021:5541522. » https://doi.org/10.1155/2021/5541522

(36) Iddi, S., Obiri-Yeboah, D., Aboh, I. K., Quansah, R., Owusu, S. A., Enyan, N. I. E., Kodom, R. V., Nsabimana, E., Jansen, S., Ekumah, B., Boamah, S. A., Boateng, G. O., Doku, D. T., and Armah, F. A. (2021). Coping strategies adapted by Ghanaians during the COVID-19 crisis and lockdown: A population-based study. PLoS ONE, 16(6): e0253800 » https://doi.org/10.1371/journal.pone.0253800

(37) Mensah, J. A., Asiedu, L., Mettle, F. O. and Iddi, S. (2021). Assessing the Performance of DWT-PCA/SVD Face Recognition Algorithm under Multiple Constraints. Journal of Applied Mathematics, 2021:7060270. » https://doi.org/10.1155/2021/7060270

(38) Marinescu, R. V., Oxtoby, N. P., Young, A. L., Bron, E. E., Toga, A. W., Weiner, M. W., Barkhof, F.,  Fox, N. C., Eshaghi, A., Toni, T., Salaterski, M. Lunina, V., Ansart, M., Durrleman, S., Lu, P., Iddi, S., Li, D., Thompson, W. K., Donohue, M. C, et. al. (2021). The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up. Journal of Machine Learning for Biomedical Imaging, 2021:019,1-60. » https://www.melba-journal.org/papers/2021:019.html

(39) Iddi, S.,  Muindi, K., Gitau, H. and Mberu, B. (2022). Characterization of Healthy Housing in Africa: method, profiles, and determinants. Journal of Urban Health. » https://doi.org/10.1007/s11524-021-00603-5​

(40) Acheampong, E., Okyere, E., Iddi, S., Bonney, J. H. K., Wattis, J. A. D., Rachel L. Gomes, R. L. (2022). Mathematical Modelling of Earlier Stages of COVID-19 Transmission Dynamics in Ghana.   Results in Physics. » doi.org/10.1016/j.rinp.2022.105193 

(41) Iddi, S. and Donohue M. (2022).  Power and Sample Size for Longitudinal Models in R - The longpower Package and Shiny App. The R Journal, 14(1): 264 – 282.  » https://doi.org/10.32614/RJ-2022-022. Link to Shiny App: https://atrihub.shinyapps.io/power/.

(42) Akyeampong, E., Bend, R. J., Luginaah, I., Yawson, D. O., Cobbina, J. S., Armah, A. F., Adu, O. M., Essumang, K. D., Iddi, S., Botwe, K. P., and Quansah, R. (2022). Urinary pesticide residual levels and acute respiratory infections in children under five years of age: Findings from the Offinso North Farm Health Study. Environmental Health Insights. 16: 1–20.  » https://doi.org/10.1177/11786302221094418 

(43) Agbenyega, A. D., Andoh, J., Iddi, S., and Asiedu, L. (2022). Modelling Customs Revenue in Ghana using Novel Time Series Methods. Applied Computational Intelligence and Soft Computing, 2022:  2111587. »  https://doi.org/10.1155/2022/2111587.

(44) Clottey, N. B. K., Debrah, G., Asiedu, L. and Iddi, S. (2022). The short-term effect of the Government of Ghana’s decision to open borders at the onset of the COVID-19 pandemic. Scientific African, 16: e01250 » https://doi.org/10.1016/j.sciaf.2022.e01250. 

(45) Darkwah, K. A., Iddi, S., Novignon, J. and Aikins, M. (2022). Characterization of functional disability among older adults in Ghana: A multi-level analysis of the study on global aging and adult health (SAGE) Wave II. PLoS One, 17(11):e0277125.  » https://doi.org/10.1371/journal.pone.0277125

(46)  Muindi, K.,  Iddi, S., Gitau, H. and Mberu, B. (2023). Housing and Health Outcomes: Evidence on Child Morbidities from Six Sub-Saharan African Countries. BMC Pediatrics, 2023, 23:219. » https://doi.org/10.1186/s12887-023-03992-5 

(47) Dwomoh, D., Iddi, S., Afagbedzi, S. K., Tejedor-Garavito, N., Dotse-Gborgbortsi, W., Wright, J., Tatem, A. J. and Nilsen, K. (2023). Impact of Urban Slum Residence on Coverage of Maternal, Neonatal, and Child Health Service Indicators in the Greater Accra Region of Ghana: an Ecological Time‑Series Analysis, 2018–2021. J Urban Health (2023) » https://doi.org/10.1007/s11524-023-00812-0 

(48) Lamptey, R., Amoakoh-Coleman, M., Barker, M.M., Iddi, S., et al. (2023). Change in glycaemic control with structured diabetes self-management education in urban low-resource settings: Multicentre randomised trial of effectiveness. BMC Health Serv Res, 23: 199. » https://doi.org/10.1186/s12913-023-09188-y

(49) Otieno, P., Agyeman, C., Wilunda, C., Sanya, E. R., Iddi, S., Wami, W., Andel, V. J., Kloet, V.D. B., Teerling, J., Siteyi, A., and Asiki, G. (2023). Effect of Patient Support Groups for Hypertension on Blood Pressure among Patients with and Without Multimorbidity: Findings from a Cohort Study of Patients on a Home-Based Self-Management Program in Kenya. Global Heart, 18(1): 28. » https://doi.org/10.5334/gh.1208  

(50) Kamp, M., Achilonu, O., Kisiangani, I., Nderitu M. D., Mpangase, T. P., Tadesse, A. G., Adetunji, K., Iddi, S., Speakman, S., Hazelhurst, S., Asiki, G., Ramsay, M. (2023).  Multimorbidity in African ancestry populations: a scoping review, BMJ Global Health, 8(12), e013509. » https://doi.org/10.1136/bmjgh-2023-013509 

(51) Chapman-Wardy, C., Ocran, E., Iddi, S., Asiedu, L. (2023). Classification of solid waste generation areas in the Greater Accra region using machine learning algorithms. Model Assisted Statistics and Applications, 18(4), 359-371. » http://dx.doi.org/10.3233/MAS-231440

(52) Nyarko, E., Ameho, K. E.,  Iddi, S., and Louis Asiedu, L. (2024). Challenges associated with the availability, accessibility, and use of antivenoms for treating snakebite envenoming in Ghana: A MaxDiff experiment design, Toxicon, 238: 107594.  » https://doi.org/10.1016/j.toxicon.2023.107594 

(53) Oduro, S. M., Iddi, S., Asiedu, L., Asiki, G., Kadengye, T. D. (2024). Utilizing a multi-stage transition model for analysing child stunting in two urban slum settlements of Nairobi: A longitudinal analysis, 2011-2014. PLOS ONE 19(2): e0272684. » https://doi.org/10.1371/journal.pone.0272684   

(54) Oduro, S. M., Arhin-Donkor, S., Asiedu, L., Kandengye, T. D., Iddi, S. (2024). SARS-CoV-2 incidence monitoring and statistical estimation of the basic and time-varying reproduction number at the early onset of the pandemic in 45 sub-Saharan African countries. BMC Public Health, 24:612. » https://doi.org/10.1186/s12889-024-18184-8   

(55) Tawiah, K., Asosega, K. A., Iddi, S., Opoku, A. A., Abdul, I. W., Ansah, R. K., Bukari, F. K., Okyere, E., Adebanji, A. O. (2024). Assessment of Neonatal Mortality and Associated Hospital-Related Factors in Healthcare Facilities Within Sunyani and Sunyani West Municipal Assemblies in Bono Region, Ghana. Health Services Insights, 17: 1–7. » https://doi.org/10.1177/11786329241258 

(56) Mwanga, D. M., Kadengye, D. T., Otieno, P. O., Wekesah, F. M., Kipchirchir, I. C., Muhua, G. O., Kinuthia, J. W., Kwasa, T., Machuka, A., Mongare, Q., Iddi, S., Jones, G. D., Sander, J. W., Kariuki, S., Sen, A., Newton, C. R., and Asiki, G. (2024). Prevalence of all epilepsies in urban informal settlements in Nairobi, Kenya: a two-stage population-based study. The Lancet Global Health»  https://doi.org/10.1016/S2214-109X(24)00217-1 

(57) Mohamed, S. F., Karugu, C. H., Iddi, S., Ojiambo, V., Kirui, C., Asiki, G. (2024). Effectiveness of three front-of-pack food labels in guiding consumer identification of nutrients of concern and purchase intentions in Kenya: A Randomized Controlled Trial. Nutrients, Preprints 2024, 2024091723. https://doi.org/10.20944/preprints202409.1723.v1 

(58) Iddi, S., Okeyo, D., Sanya, R. E., Wamukoya, M., Asiki, G. (2024). Determinants of under-five mortality in informal settlements in Nairobi, Kenya from 2002 to 2018. BMC Public Health, 24, 2855(2024). https://doi.org/10.1186/s12889-024-20073-z 

(59)  Mwanga, D. M., Waruingi, S., Manolova, G., Wekesah, F. M., Kadengye, D. T., Otieno, P. O., Bitta, M., Omwom, I., Iddi, S., Odero, P., Kinuthia, J. W., Dua, T., Chowdhary, N., Ouma, F. O., Kipchirchir, I. C., Muhua, G. O., Sander, J. W., Newton, C. R., Asiki, G. (2024). A digital dashboard for reporting mental, neurological and substance use disorders in Nairobi, Kenya: Implementing an open source data technology for improving data capture. PLOS Digital Health, 3(11): e0000646. https://doi.org/10.1371/journal.pdig.0000646 

(60) Wilunda, C., Sidze, E., Thuita, F.,Amugsi, D., Abajobir, A., Mutua, M., Mwangi, B., Iddi, S.,Lutter, C., Flax, V. l., Webale, A., Anono, E., Odhiambo, H.,Wainaina, C. W., Ekiru, S., Chepkwony, G., Ebei, J., Lesiamito,D., Kimani‐Murage, E., Sagara, B. (2024). Examining the complex dynamics influencing acute malnutrition in Turkana and Samburu counties: Study protocol. Maternal & ChildNutrition, e13744. https://doi.org/10.1111/mcn.13744 

(61) Omondi, E., Iddi, S., Chepkemoi, S., Mugotitsa, B., Cygu, S., Okumu, B., Ziraba, A., Kadengye, D. T., Kiragga, A. (2024). Understanding demographic events and migration patterns in two urban slums of Nairobi City in Kenya. Scientific Reports, 14, 28852. https://doi.org/10.1038/s41598-024-79895-x 

(62). Faisal, A., Iddi, S., Nortey, E. N. N., Doku-Amponsah, K. (2024). Penalized Likelihood Estimation for Current Status Data with Informative Censoring. Biomedical Statistics and Informatics, 9(3): 39-57.  https://doi.org/10.11648/j.bsi.20240903.11  

(63) Omondi, E., Ngaámbi, W. F., Mugotitsa, B., Ngaámbi, C., Sitenei, M., Cygu, S., Odhiambo, C., Iddi, S., Kadengye, D. T., Kiragga, A. (2024). Factors associated with self-reported diagnosis of depression in Kenya: Insights from 2022 Demographic and Health Survey. BMC Public Health,  Under revision.

(64) Kisiangani, I., Ben, A. J., Wynberg, E., Wami, W., Iddi, S., Kinya, I., Vassall, A., Kyobutungi, C., Ziraba, A., Njeru, J., Mugenda, O., Kiguoya-Njau, M. W., Kimondo, M., Githua, G., de Jong, M., Mohamed, S. F., Asiki, G., Schultsz, C. (2024). Recovery and long-term health outcomes of SARS-CoV-2 infection in a prospective cohort in an urban setting, Kenya. Submitted. Preprint available here: https://doi.org/10.1101/2024.11.21.24316116  

(65) Kisia, L., Mohamed, S. F., Kyule, G., Tchoupe, C., Abolarin, O., Pokothoane, R., Agerfa, T. G., Iddi, S., Okumu, B., Mbaya, N., Kadengye, D. T., Mdege, N. D. (2024). Use of tobacco and nicotine products among adolescents in Sub-Saharan Africa: protocol for a population-based multi-country household survey. Submitted. Preprint available here: https://doi.org/10.1101/2024.05.21.24307670  

(66) Somua-Wiafe, E., Minkah, R., Doku-Amponsah, K., Asiedu, L., Acheampong, E., and Iddi, S. (2025). Evaluating the impact of misspecified spatial neighboring structures in Bayesian CAR models. Scientific African, 27:e02498. https://doi.org/10.1016/j.sciaf.2024.e02498 

(67) Sanya, E. R., Karugu, H. C., Iddi, S., Kibe, M. P., Mburu, L., Mbau, L., Kibe, V., Mahone, S., Levitt, S. N., Klipstein-Grobusch, K., Asiki, G. (2025). Feasibility and impact of a patient support group care model on diabetes and hypertension care in informal settlements in Nairobi, Kenya: a quasi-experimental study. Global Health Action, 18:1, 2482304. https://doi.org/10.1080/16549716.2025.2482304 

(68) Speakman, S., Oshingbesan, A., Kamp M., Mpangase, T. P., Adentunji, K., Iddi, S., Nderitu, M. D., Akumu, T., Achilonu, O., Kisiangani, I., Mathema, T., Tadesse, G., Gomez-Olive, X. F., Kabudula, W. C., Hazelhurst, S., Asiki, G., Ramsay, M.  (2025). Sub-population Identification of Multimorbidity in Sub-Saharan African Populations. Scientific Reports, Accepted. 

(69) Wainaina, W. C., Browne, L. J., Igonya, E., Wekesah, F., Ziraba, K. A., Maina, S., Iddi, S., Sidze, M. E., Janssens, W., Wit, D. J., Bloemenkamp, W. M. K., Kumar, M. (2025). Perinatal depression in rural Kenya and the associated risk and protective factors. A prospective cohort study before and during the COVID-19 pandemic. Preprint available here: http://dx.doi.org/10.1101/2025.01.15.25320322 

(70) Mensah, A. J., Nortey, E. N. N., Iddi, S., and Asiedu, L. (2022). An Enhancement of DWT-PCA/SVD Algorithm for the Recognition of Frontal Face Images in a Multiple-Constrained Environment using Histogram Specification and City Block Distance. Submitted to Advances in Human-Computer Interaction.

(71) Mensah, A. J., Nortey, E. N. N., Iddi, S., and Asiedu, L. (2022). De-occlusion and Recognition of Frontal Face Images: A Comparative Study of Multiple Imputation Methods.  Submitted to Advances in Multimedia.

Book Chapters

​(1)  Verbeke, G., Molenberghs, G., Fieuws, S. and Iddi, S. (2018). Mixed Models with Emphasis on Large Data Sets. In: Mixed-Effects Regression Models in Linguistics, Speelman, D., Heylen, K., and Geeraerts, D. (Eds.), pp. 11-28, Springer, Cham. ISBN 978-3-319-69830-4. » https://doi.org/10.1007/978-3-319-69830-4_2 

In Conference Proceedings

(1) Iddi, S., Li, D., Thompson, W. K., Raffi, M. S., Aisen, P. S., and Donohue, M. C. (2018). Predicting the course of Alzheimer's. The Journal of Prevention of Alzheimer's Disease, 5 (S1): S115-S116.  » jpad

(2) Iddi, S. and Molenberghs, G. (2012). A Joint Marginalized Multilevel Model for Longitudinal Outcomes.  In: 27th International Workshop on Statistical Modelling (Vol. 1), Prague, Czech Republic, Komarek, A. and Nagy, S. (Eds.), pp. 165-170. ISBN 978-80-263-0250-6. » link

(3) Iddi, S. and Molenberghs, G. (2013). A Zero-Infated and Overdispersed Marginalized Model for Correlated Counts. In:  28th International Workshop on Statistical Modelling (Vol. 2), Palermo, Italy, Muggeo VMR, Capursi V, Boscaino G, Lovison G. (Eds.), pp. 641-644. ISBN 978-88-96251-49-2. » link  

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Thesis and Projects

       Promoters: Prof. Dr. Geert Molenberghs, Prof. Dr. Geert Verbeke and Prof. Dr. Marc Aerts.

       Promoters: Prof. Dr. Marc Aerts and Prof. Dr. Niel Hens.

       Supervisor: Mr. Dominic Nsiah.