A mixture model using likelihood-based and Bayesian approaches for identifying responders and non-responders in longitudinal clinical trials
Author:
Affiliation:
1. Department of Biostatistics; University of Pennsylvania School of Medicine; Philadelphia PA USA
2. Merck Research Laboratories; North Wales PA USA
Publisher
Wiley
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Reference12 articles.
1. A random-effects mixture model for classifying treatment response in longitudinal clinical trials;Xu;Journal of Biopharmaceutical Statistics,2001
2. General growth mixture modeling for randomized preventive interventions;Muthén;Biostatistics,2002
3. Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling;Muthén;Statistics in Medicine,2009
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