Shahab Jolani
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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
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
Package ‘mice’
S van Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ...
Computer software, 2015
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 (2), 756-771, 2016
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
Incomplete Multilevel Data: Problems and Solutions.
J Hox, S van Buuren, S Jolani
Advances in multilevel modeling for educational research: addressing …, 2015
mice: Multivariate Imputation by Chained Equations. 2017
S Van Buuren, K Groothuis-Oudshoorn
URL https://CRAN. R-project. org/package= mice. R package version 2 (0), 15, 2015
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
Combining the complete-data and nonresponse models for drawing imputations under MAR
S Jolani, S van Buuren, LE Frank
Journal of Statistical Computation and Simulation 83 (5), 868-879, 2013
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
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
Better experiences with quality of care predict well-being of patients with chronic obstructive pulmonary disease in the Netherlands
JM Cramm, S Jolani, S Van Buuren, AP Nieboer
International Journal of Integrated Care 15, 2015
Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations
S Jolani
Biometrical Journal 60 (2), 333-351, 2018
Package ‘mice’
S Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, S Jolani, ...
Technical report, CRAN, 2017
Multivariate imputation by chained equations
SV Buuren, K Groothuis-Oudshoorn, A Robitzsch, G Vink, L Doove, ...
Diambil dari http://cran. r-project. org/web/packages/mice/index. html, 2014
The handling of missing binary data in language research
F Pichette, S Béland, S Jolani, J Leśniewska
Zakład Filologii Angielskiej Wydział Pedagogiczno-Artystyczny Uniwersytetu …, 2015
Dual imputation strategies for analyzing incomplete data
S Jolani
Utrecht University, 2012
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
R package hmi: a convenient tool for hierarchical multiple imputation and beyond
M Speidel, J Drechsler, S Jolani
IAB-Discussion Paper, 2018
An analysis of longitudinal data with nonignorable dropout using the truncated multivariate normal distribution
S Jolani
Journal of Multivariate Analysis 131, 163-173, 2014
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