Choosing profile double-sampling designs for survival estimation with application to President's Emergency Plan for AIDS Relief evaluation.
Choosing profile double-sampling designs for survival estimation with application to President's Emergency Plan for AIDS Relief evaluation.
复制标题
选择轮廓双抽样设计进行生存估计并应用于总统艾滋病救援紧急计划评估。
DOI：
10.1002/sim.6087
复制
发表时间：
2014
影响因子：
2
通讯作者：
Yiannoutsos,ConstantinT
中科院分区：
文献类型：
--
作者：
An,Ming-Wen;Frangakis,ConstantineE;Yiannoutsos,ConstantinT
Most studies that follow subjects over time are challenged by having some subjects who dropout. Double sampling is a design that selects and devotes resources to intensively pursue and find a subset of these dropouts, then uses data obtained from these to adjust naïve estimates, which are potentially biased by the dropout. Existing methods to estimate survival from double sampling assume a random sample. In limited‐resource settings, however, generating accurate estimates using a minimum of resources is important. We propose using double‐sampling designs thatoversamplecertain profiles of dropouts as more efficient alternatives to random designs. First, we develop a framework to estimate the survival function under theseprofile double‐sampling designs. We then derive the precision of these designs as a function of the rule for selecting different profiles, in order to identify more efficient designs. We illustrate using data from the United States President's Emergency Plan for AIDS Relief‐funded HIV care and treatment program in western Kenya. Our results show why and how more efficient designs should oversample patients with shorter dropout times. Further, our work suggests generalizable practice for more efficient double‐sampling designs, which can help maximize efficiency in resource‐limited settings. Copyright © 2014 John Wiley & Sons, Ltd.
