Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention
模型无关的纵向变量重要性轨迹摘要推断及其自杀预防应用
Risk of suicide attempt varies over time. Understanding the importance of risk factors measured at a mental health visit can help clinicians evaluate future risk and provide appropriate care during the visit. In prediction settings where data are collected over time, such as in mental health care, it is often of interest to understand both the importance of variables for predicting the response at each time point and the importance summarized over the time series. Building…