Assessing Response Profiles from Incomplete Longitudinal Clinical Trial Data Under Regulatory Considerations
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Publication:4803375
DOI10.1081/BIP-120019265zbMath1180.62178OpenAlexW2091679283WikidataQ30790661 ScholiaQ30790661MaRDI QIDQ4803375
Geert Molenberghs, Craig Mallinckrodt, W. Scott Clark, Raymond J. Carroll
Publication date: 2 April 2003
Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1081/bip-120019265
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)
Related Items (4)
Analyzing incomplete discrete longitudinal clinical trial data ⋮ Formal and informal model selection with incomplete data ⋮ Multiple imputation for ordinal longitudinal data with monotone missing data patterns ⋮ The nature of sensitivity in monotone missing not at random models
Cites Work
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- A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts
- Intent-to-Treat Analysis for Longitudinal Studies with Drop-Outs
- Informative Drop-Out in Longitudinal Data Analysis
- Linear mixed models for longitudinal data
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