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非单调无应答面板数据中不可忽略缺失的影响评估AI 解读

SUMMARY The analysis of panel data with non‐monotone nonresponse often relies on the critical and untestable assumption of ignorable missingness. It is important to assess the consequences of departures from the ignorability assumption. Non‐monotone nonresponse, however, can often make such sensitivity analysis infeasible because the likelihood functions for alternative models involve high‐dimensional and difficult‐to‐evaluate integrals with respect to missing outcomes. We…

Kaplan–Meier 估计的代价AI 解读

Miller has studied the asymptotic efficiency of the nonparametric, Kaplan–Meier survival estimator relative to parametric estimates based on the exponential and Weibull distributions. He concluded that in certain cases, the asymptotic efficiency is low and recommended that analysts give more consideration to parametric estimators, particularly for estimation of small tail probabilities. In this article we revisit this issue and examine the performance of the nonparametric…