2021年1月30日
Exploratory assessment of treatment-dependent random-effects distribution using gradient functions.
Statistics in medicine
- ,
- ,
- 巻
- 40
- 号
- 2
- 開始ページ
- 226
- 終了ページ
- 239
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1002/sim.8770
- 出版者・発行元
- Wiley
In analyzing repeated measurements from randomized controlled trials with mixed-effects models, it is important to carefully examine the conventional normality assumption regarding the random-effects distribution and its dependence on treatment allocation in order to avoid biased estimation and correctly interpret the estimated random-effects distribution. In this article, we propose the use of a gradient function method in modeling with the different random-effects distributions depending on the treatment allocation. This method can be effective for considering in advance whether a proper fit requires a model that allows dependence of the random-effects distribution on covariates, or for finding the subpopulations in the random effects.
- リンク情報
- ID情報
-
- DOI : 10.1002/sim.8770
- ISSN : 0277-6715
- eISSN : 1097-0258
- PubMed ID : 33124051