SensIAT: An R Package for Conducting Sensitivity Analysis of Randomized Trials with Irregular Assessment Times
SensIAT:评估时间不规则的随机试验敏感性分析 R 包
This paper introduces an R package SensIAT that implements a sensitivity analysis methodology, based on augmented inverse intensity weighting, for randomized trials with irregular and potentially informative assessment times. Targets of inference involve the population mean outcome in each treatment arm as well as the difference in these means (i.e., treatment effect) at specified times after randomization. This methodology is useful in settings where there is concern that…