Cristina Sotto

Every Missingness not at Random Model Has a Missingness at Random Counterpart with Equal Fit

Geert Molenberghs, Caroline Beunckens, Cristina Sotto et al. · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2008 · 222 citations

Public Health, Biostatistics, Psychometrics +15

A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data

Caroline Beunckens, Cristina Sotto, Geert Molenberghs · Computational Statistics & Data Analysis · 2007 · 78 citations

Public Health, Biostatistics, Statistical Modeling +13

EVERY MISSING NOT AT RANDOM MODEL HAS GOT A MISSING AT RANDOM COUNTERPART WITH EQUAL FIT

Geert Molenberghs, Michael G. Kenward, Geert Verbeke et al. · Journal of the Royal Statistical Society Series B (Methodological) · 2008 · 59 citations

Computing, Biostatistics, Econometrics +16

Doubly Robust and Multiple-Imputation-Based Generalized Estimating Equations

Teshome Birhanu, Geert Molenberghs, Cristina Sotto et al. · Journal of Biopharmaceutical Statistics · 2011 · 37 citations

Natural Sciences, Biostatistics, Econometrics +16

Marginal Correlation in Longitudinal Binary Data Based on Generalized Linear Mixed Models

Tony Vangeneugden, Geert Molenberghs, Annouschka Laenen et al. · Communication in Statistics- Theory and Methods · 2010 · 13 citations

Public Health, Biostatistics, Epidemiologic Methods +16