| Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies BG Pijls, S Jolani, A Atherley, RT Derckx, JIR Dijkstra, GHL Franssen, ... BMJ open 11 (1), e044640, 2021 | 569 | 2021 |
| Imputation of systematically missing predictors in an individual participant data meta‐analysis: a generalized approach using MICE S Jolani, TPA Debray, H Koffijberg, S van Buuren, KGM Moons Statistics in medicine 34 (11), 1841-1863, 2015 | 189 | 2015 |
| Package ‘mice’ S van Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ... Computer software 20, 2015 | 173 | 2015 |
| Multiple Imputation for Multilevel Data with Continuous and Binary Variables V Audigier, IR White, S Jolani, TPA Debray, M Quartagno, J Carpenter, ... Statistical Science 33 (2), 160-183, 2018 | 159 | 2018 |
| Ethnic minority status as social determinant for COVID-19 infection, hospitalisation, severity, ICU admission and deaths in the early phase of the pandemic: a meta-analysis C Agyemang, A Richters, S Jolani, S Hendriks, S Zalpuri, E Yu, B Pijls, ... BMJ global health 6 (11), e007433, 2021 | 82 | 2021 |
| The relation between mood, activity, and interaction in long-term dementia care HC Beerens, SMG Zwakhalen, H Verbeek, F ES Tan, S Jolani, M Downs, ... Aging & mental health 22 (1), 26-32, 2018 | 70 | 2018 |
| The Monkey game: A computerized verbal working memory task for self-reliant administration in primary school children E Van de Weijer-Bergsma, EH Kroesbergen, S Jolani, JEH Van Luit Behavior research methods 48, 756-771, 2016 | 66 | 2016 |
| Temporal trends of sex differences for COVID-19 infection, hospitalisation, severe disease, intensive care unit (ICU) admission and death: a meta-analysis of 229 studies … BG Pijls, S Jolani, A Atherley, JIR Dijkstra, GHL Franssen, S Hendriks, ... F1000Research 11, 2022 | 43 | 2022 |
| Guidelines for multiple imputations in repeated measurements with time-dependent covariates: a case study FES Tan, S Jolani, H Verbeek Journal of Clinical Epidemiology 102, 107-114, 2018 | 36 | 2018 |
| Mice: Multivariate Imputation by Chained Equations, 2017 S van Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ... URL https://CRAN. R-project. org/package= mice. R package version 2 (0), 15, 2015 | 34 | 2015 |
| Package ‘mice’: multivariate imputation by chained equations S Van Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ... CRAN Repos, 2019 | 33 | 2019 |
| mice: multivariate imputation by chained equations in RJ Stat. Softw. 45, 1–67 S Buuren, K Groothuis-Oudshoorn, G Vink, R Schouten, A Robitzsch, ... | 32 | 2011 |
| Demographic risk factors for COVID-19 infection, severity, ICU admission and death: a meta-analysis of 59 studies. BMJ Open. 2021; 11: e044640 BG Pijls, S Jolani, A Atherley, RT Derckx, JIR Dijkstra, GHL Franssen, ... | 26 | |
| Hierarchical imputation of systematically and sporadically missing data: an approximate Bayesian approach using chained equations S Jolani Biometrical Journal 60 (2), 333-351, 2018 | 25 | 2018 |
| Incomplete Multilevel Data: Problems and Solutions. J Hox, S van Buuren, S Jolani Advances in multilevel modeling for educational research: addressing …, 2015 | 24 | 2015 |
| Multivariate imputation by chained equations S Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ... Comprehensive R Archive 587, 2019 | 20 | 2019 |
| Impact on Cronbach’s α of simple treatment methods for missing data S Béland, F Pichette, S Jolani The Quantitative Methods for Psychology 12 (1), 57-73, 2016 | 20 | 2016 |
| The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond M Speidel, J Drechsler, S Jolani Journal of Statistical Software 95 (9), DOI: 10.18637/jss.v095.i09, 2020 | 18 | 2020 |
| Multivariate Imputation by Chained Equations.(mice) S Van Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ... User’s manual. TNO Report PG/VGZ/.. Leiden: TNO Preventie en Gezondheid, 2014 | 18 | 2014 |
| Dual imputation model for incomplete longitudinal data S Jolani, LE Frank, S van Buuren British Journal of Mathematical and Statistical Psychology 67 (2), 197-212, 2014 | 17 | 2014 |
