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Estimation of controlled direct effects in time-varying treatments using structural nested mean models: Application to a primary prevention trial for coronary events with pravastatin

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第一作者： Shinozaki,T.

作者： Shinozaki,T. ^[1] ; Matsuyama,Y. ; Ohashi,Y.

作者单位： Department of Biostatistics, School of Public Health, The University of Tokyo, Tokyo, 113-0033 ^[1]

关键词 Causal inference Direct effects Longitudinal data Structural nested mean model Time-dependent confounding

发布时间 2014-10-01

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Statistics in medicine

2014年33卷18期

3214-3228页

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Statistics in medicine

2014年33卷18期

3214-3228页

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Estimation of controlled direct effects in time-varying treatments using structural nested mean models: Application to a primary prevention trial for coronary events with pravastatin

Statistics in medicine

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Estimation of controlled direct effects in time-varying treatments using structural nested mean models: Application to a primary prevention trial for coronary events with pravastatin

Statistics in medicine

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Statistics in medicine

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