TY - JOUR
T1 - Self-reporting and screening
T2 - Data with right-censored, left-censored, and complete observations
AU - Yefenof, Jonathan
AU - Goldberg, Yair
AU - Wiler, Jennifer
AU - Mandelbaum, Avishai
AU - Ritov, Ya'acov
N1 - Publisher Copyright:
© 2022 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.
PY - 2022/8/15
Y1 - 2022/8/15
N2 - We consider survival data that combine three types of observations: uncensored, right-censored, and left-censored. Such data arises from screening a medical condition, in situations where self-detection arises naturally. Our goal is to estimate the failure-time distribution, based on these three observation types. We propose a novel methodology for distribution estimation using both semiparametric and nonparametric techniques. We then evaluate the performance of these estimators via simulated data. Finally, as a case study, we estimate the patience of patients who arrive at an emergency department and wait for treatment. Three categories of patients are observed: those who leave the system and announce it, and thus their patience time is observed; those who get service and thus their patience time is right-censored by the waiting time; and those who leave the system without announcing it. For this third category, the patients' absence is revealed only when they are called to service, which is after they have already left; formally, their patience time is left-censored. Other applications of our proposed methodology are discussed.
AB - We consider survival data that combine three types of observations: uncensored, right-censored, and left-censored. Such data arises from screening a medical condition, in situations where self-detection arises naturally. Our goal is to estimate the failure-time distribution, based on these three observation types. We propose a novel methodology for distribution estimation using both semiparametric and nonparametric techniques. We then evaluate the performance of these estimators via simulated data. Finally, as a case study, we estimate the patience of patients who arrive at an emergency department and wait for treatment. Three categories of patients are observed: those who leave the system and announce it, and thus their patience time is observed; those who get service and thus their patience time is right-censored by the waiting time; and those who leave the system without announcing it. For this third category, the patients' absence is revealed only when they are called to service, which is after they have already left; formally, their patience time is left-censored. Other applications of our proposed methodology are discussed.
KW - current status data
KW - left censoring
KW - nonparametric estimation
KW - right censoring
KW - survival analysis
UR - http://www.scopus.com/inward/record.url?scp=85130450259&partnerID=8YFLogxK
U2 - 10.1002/sim.9434
DO - 10.1002/sim.9434
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C2 - 35608143
AN - SCOPUS:85130450259
SN - 0277-6715
VL - 41
SP - 3561
EP - 3578
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 18
ER -