1. Главная
  2. Ресурсы
  3. Библиотечный поиск
A graphical method toassesstreatment-covariateinteractions usingthe Cox model onsubsets of the data Marco BonettiRichard D. Gelber2000 год

A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data
статья из журнала

Страница публикацииПубликация в OpenAlex
Аннотация: We introduce the subpopulation treatment effect pattern plot (STEPP) method, designed to facilitate the interpretation of estimates of treatment effect derived from different but potentially overlapping subsets of clinical trial data. In particular, we consider sequences of subpopulations defined with respect to a covariate, and obtain confidence bands for the collection of treatment effects (here obtained from the Cox proportional hazards model) associated with the sequences. The method is aimed at determining whether the magnitude of the treatment effect changes as a function of the values of the covariate. We apply STEPP to a breast cancer clinical trial data set to evaluate the treatment effect as a function of the oestrogen receptor content of the primary tumour. Copyright © 2000 John Wiley & Sons, Ltd.
Год издания: 2000
Авторы: Marco Bonetti, Richard D. Gelber
Издательство: Wiley
Источник: Statistics in Medicine
Ключевые слова: Statistical Methods in Clinical Trials, Statistical Methods and Inference, Statistical Methods and Bayesian Inference
Другие ссылки: Statistics in Medicine (HTML)
PubMed (HTML)