An application of the mixed‐effects model and pattern mixture model to treatment groups with differential missingness suspected not‐missing‐at‐random

Type: Article

Publication Date: 2020-08-16

Citations: 2

DOI: https://doi.org/10.1002/pst.2058

Locations

  • Pharmaceutical Statistics - View

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Works Cited by This (27)

Action Title Year Authors
+ Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide 2013 Craig Mallinckrodt
+ Clinical Trials with Missing Data: A Guide for Practitioners 2014 Michael O’Kelly
Bohdana Ratitch
+ Comparison of bias-corrected covariance estimators for MMRM analysis in longitudinal data with dropouts 2015 Masahiko Gosho
Akihiro Hirakawa
Hisashi Noma
Kazushi Maruo
Yasunori Sato
+ MIXTURE MODELS FOR THE JOINT DISTRIBUTION OF REPEATED MEASURES AND EVENT TIMES 1997 Joseph W. Hogan
Nan M. Laird
+ Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture models 2013 Bohdana Ratitch
Michael O’Kelly
Robert Tosiello
+ Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood 1997 Michael G. Kenward
James Roger
+ PDF Chat Pattern-Mixture Models for Multivariate Incomplete Data 1993 Roderick J. A. Little
+ PDF Chat On the performance of random‐coefficient pattern‐mixture models for non‐ignorable drop‐out 2003 Hakan Demirtaş
Joseph L. Schafer
+ PDF Chat The Prevention and Treatment of Missing Data in Clinical Trials 2012 Roderick J. A. Little
Ralph B. D’Agostino
Michael L. Cohen
Kay Dickersin
Scott S. Emerson
John T. Farrar
Constantine Frangakis
Joseph W. Hogan
Geert Molenberghs
Susan A. Murphy
+ Estimation and Comparison of Changes in the Presence of Information Right Censoring by Modeling the Censoring Process. 1987 Margaret Wu
Raymond J. Carroll