Visualization tool of variable selection in bias-variance tradeoff for inverse probability weights.
Visualization tool of variable selection in bias-variance tradeoff for inverse probability weights.
复制标题
可视化工具的可变选择在偏置差异权重的偏置权重。
DOI：
10.1016/j.annepidem.2019.12.006
复制
发表时间：
2020-01
影响因子：
5.6
通讯作者：
Naimi AI
中科院分区：
文献类型：
--
作者：
Yu YH;Filion KB;Bodnar LM;Brooks MM;Platt RW;Himes KP;Naimi AI
Inversed probability weighted (IPW) estimators are commonly used to adjust for time-fixed or time-varying confounders. However, in high-dimensional settings, including all identified confounders may result in unstable weights leading to higher variance. We aimed to develop a visualization tool demonstrating the impact of each confounder on the bias and variance of IPW estimates, as well as the propensity score overlap. A SAS macro was developed for this visualization tool and we demonstrate how this tool can be used to identify potentially problematic confounders of the association of statin use after myocardial infarction on one-year mortality in a plasmode simulation study using a cohort of 39,792 patients from the UK (1998–2012). Through the tool’s output, we can identify problematic confounders (two instrumental variables) and important confounders by comparing the estimated psuedo MSE with that from the fully adjusted model and propensity score overlap plot. Our results suggest that the analytic impact of all confounders should be considered carefully when fitting IPW estimators.
登录
查看更多内容
影响因子：
2
作者：
Rubin, Donald B.
通讯作者：
Rubin, Donald B.
影响因子：
105.7
作者：
Greenland, Sander;Mansournia, Mohammad Ali;Altman, Douglas G.
通讯作者：
Altman, Douglas G.
影响因子：
1.2
作者：
van der Laan, Mark J.;Gruber, Susan
通讯作者：
Gruber, Susan
影响因子：
5
作者：
Cole, Stephen R.;Hernan, Miguel A.
通讯作者：
Hernan, Miguel A.
影响因子：
4
作者：
Shrier, Ian;Platt, Robert W.
通讯作者：
Platt, Robert W.