Analysis of Longitudinal Binary Data with Missing Data Due to Dropouts
Author:
Affiliation:
1. a Department of Biostatistics , Otsuka Maryland Research Institute , Rockville, Maryland, USA
2. b Department of Clinical Research , Pfizer Central Research , Groton, Connecticut, USA
Publisher
Informa UK Limited
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10543400500266692
Reference11 articles.
1. MULTIPLE IMPUTATION COMPARED WITH SOME INFORMATIVE DROPOUT PROCEDURES IN THE ESTIMATION AND COMPARISON OF RATES OF CHANGE IN LONGITUDINAL CLINICAL TRIALS WITH DROPOUTS
2. Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies
3. The Positive and Negative Syndrome Scale (PANSS) for Schizophrenia
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