TY - JOUR
T1 - Modeling sensitivity and specificity with a time-varying reference standard within a longitudinal setting
AU - Yu, Qin
AU - Tang, Wan
AU - Marcus, Sue
AU - Ma, Yan
AU - Zhang, Hui
AU - Tu, Xin
N1 - Funding Information:
This research was supported in part by NIH grants R01-DA012249, U54 RR023480, and UL1 RR024160. We sincerely thank Ms. Cheryl Bliss-Clark at the University of Rochester, two anonymous reviewers, and Editor Prof. Robert Aykroyd for their constructive comments to help improve the presentation of the article.
PY - 2010/7
Y1 - 2010/7
N2 - Diagnostic tests are used in a wide range of behavioral, medical, psychosocial, and healthcare-related research. Test sensitivity and specificity are the most popular measures of accuracy for diagnostic tests. Available methods for analyzing longitudinal study designs assume fixed gold or reference standards and as such do not apply to studies with dynamically changing reference standards, which are especially popular in psychosocial research. In this article, we develop a novel approach to address missing data and other related issues for modeling sensitivity and specificity within such a time-varying reference standard setting. The approach is illustrated with real as well as simulated data.
AB - Diagnostic tests are used in a wide range of behavioral, medical, psychosocial, and healthcare-related research. Test sensitivity and specificity are the most popular measures of accuracy for diagnostic tests. Available methods for analyzing longitudinal study designs assume fixed gold or reference standards and as such do not apply to studies with dynamically changing reference standards, which are especially popular in psychosocial research. In this article, we develop a novel approach to address missing data and other related issues for modeling sensitivity and specificity within such a time-varying reference standard setting. The approach is illustrated with real as well as simulated data.
KW - Augmented inverse probability weighted (AIPW) estimate
KW - Bivariate monotone missing data pattern (BMMDP)
KW - Diagnostic test
KW - Double robust estimate
KW - Inverse probability weighted (IPW) estimate
KW - Missing data
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U2 - 10.1080/02664760902998444
DO - 10.1080/02664760902998444
M3 - Article
AN - SCOPUS:77954132992
VL - 37
SP - 1213
EP - 1230
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
SN - 0266-4763
IS - 7
ER -