Estimation and modeling of the restricted mean time lost in the presence of competing risks

Survival data with competing or semi‐competing risks are common in observational studies. As an alternative to cause‐specific and subdistribution hazard ratios, the between‐group difference in cause‐specific restricted mean times lost (RMTL) gives the mean difference in life expectancy lost to a spe...

Full description

Saved in:
Bibliographic Details
Published in:Statistics in medicine Vol. 40; no. 9; pp. 2177 - 2196
Main Authors: Conner, Sarah C., Trinquart, Ludovic
Format: Journal Article
Language:English
Published: England Wiley Subscription Services, Inc 01.04.2021
Subjects:
ISSN:0277-6715, 1097-0258, 1097-0258
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Survival data with competing or semi‐competing risks are common in observational studies. As an alternative to cause‐specific and subdistribution hazard ratios, the between‐group difference in cause‐specific restricted mean times lost (RMTL) gives the mean difference in life expectancy lost to a specific cause of death or in disease‐free time lost, in the case of a nonfatal outcome, over a prespecified period. To adjust for covariates, we introduce an inverse probability weighted estimator and its variance for the marginal difference in RMTL. We also introduce an inverse probability of censoring weighted regression model for the RMTL. In simulation studies, we examined the finite sample performance of the proposed methods under proportional and nonproportional subdistribution hazards scenarios. We illustrated both methods with competing risks data from the Framingham Heart Study. We estimated sex differences in atrial fibrillation (AF)‐free times lost over 40 years. We also estimated sex differences in mean lifetime lost to cardiovascular disease (CVD) and non‐CVD death over 10 years among individuals with AF.
Bibliography:Funding information
American Heart Association, 18SFRN34150007; National Heart, Lung, and Blood Institute, 75N92019D00031; HHSN268201500001I; HL145904‐01; N01‐HC25195
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0277-6715
1097-0258
1097-0258
DOI:10.1002/sim.8896