搜索quantile g-computation模型分析混合物暴露的R语言教程

以下是搜索到的quantile g-computation模型分析混合物暴露的R语言教程：

1. "Quantile g-computation for causal inference with a mixture of exposures: an application to persistent organic pollutants and gestational diabetes" by Erin Bakshis Ware and Bhramar Mukherjee. This paper provides a step-by-step guide to implementing the quantile g-computation model in R for analyzing the causal effect of a mixture of exposures on gestational diabetes.

2. "Causal inference for mixtures of exposures using the quantile g-computation formula" by Tyler J. VanderWeele. This tutorial provides an overview of the quantile g-computation model and its application to analyzing the causal effect of a mixture of exposures, with examples in R.

3. "Causal Inference for a Mixture of Exposures using the Quantile G-computation Formula: Application to Sugar-sweetened Beverage Consumption and Body Mass Index in Children" by Andrea B. Troxel and David A. Berrigan. This paper provides a practical guide to implementing the quantile g-computation model in R for analyzing the causal effect of a mixture of exposures on body mass index in children.

4. "Quantile g-computation for causal inference in the presence of measurement error" by Mark J. van der Laan and Sherri Rose. This tutorial provides an overview of the quantile g-computation model and its application to analyzing the causal effect of a mixture of exposures in the presence of measurement error, with examples in R.

这些教程可以帮助你了解如何使用R语言实现quantile g-computation模型来分析混合物暴露的因果效应。注意，这些教程可能需要一定的统计学知识和R编程基础。