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

On the empirical choice of the time window for restricted mean survival time

(2020) Lu Tian et al.   BIOMETRICS

Novel Risk Modeling Approach of Atrial Fibrillation With Restricted Mean Survival Times

(2020) Laila Staerk et al.  

Trends in excess mortality associated with atrial fibrillation over 45 years (Framingham Heart Study): community based cohort study

(2020) Nicklas Vinter et al.   BMJ-British Medical Journal

Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach

(2019) Camille Sabathé et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Adjusted restricted mean survival times in observational studies

(2019) Sarah C. Conner et al.   STATISTICS IN MEDICINE

Refining the Association Between Body Mass Index and Atrial Fibrillation: G‐Formula and Restricted Mean Survival Times

(2019) Sarah C. Conner et al.   Journal of the American Heart Association

G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome

(2019) Yasuhiro Hagiwara et al.   BIOMETRICS

An application of restricted mean survival time in a competing risks setting: comparing time to ART initiation by injection drug use

(2018) Keri L. Calkins et al.   BMC Medical Research Methodology

Estimating Treatment Effect With Clinical Interpretation From a Comparative Clinical Trial With an End Point Subject to Competing Risks

(2018) Lihui Zhao et al.   JAMA Cardiology

Interpretation of time-to-event outcomes in randomized trials: an online randomized experiment

(2018) I R Weir et al.   ANNALS OF ONCOLOGY

Propensity-score matching with competing risks in survival analysis

(2018) Peter C. Austin et al.   STATISTICS IN MEDICINE

Reply to K.H. Eng et al

(2017) Ludovic Trinquart et al.   JOURNAL OF CLINICAL ONCOLOGY

Modeling restricted mean survival time under general censoring mechanisms

(2017) Xin Wang et al.   LIFETIME DATA ANALYSIS

Covariate adjustment of cumulative incidence functions for competing risks data using inverse probability of treatment weighting

(2016) Anke Neumann et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Comparison of Treatment Effects Measured by the Hazard Ratio and by the Ratio of Restricted Mean Survival Times in Oncology Randomized Controlled Trials

(2016) Ludovic Trinquart et al.   JOURNAL OF CLINICAL ONCOLOGY

Doubly robust survival trees

(2016) Jon Arni Steingrimsson et al.   STATISTICS IN MEDICINE

Estimation of the Standardized Risk Difference and Ratio in a Competing Risks Framework: Application to Injection Drug Use and Progression to AIDS After Initiation of Antiretroviral Therapy

(2014) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Checking Fine and Gray subdistribution hazards model with cumulative sums of residuals

(2014) Jianing Li et al.   LIFETIME DATA ANALYSIS

Estimating restricted mean job tenures in semi-competing risk data compensating victims of discrimination

(2013) Qing Pan et al.   Annals of Applied Statistics

Predicting the restricted mean event time with the subject's baseline covariates in survival analysis

(2013) L. Tian et al.   BIOSTATISTICS

A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions

(2013) Aurelien Latouche et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

On collapsibility and confounding bias in Cox and Aalen regression models

(2013) Torben Martinussen et al.   LIFETIME DATA ANALYSIS

Decomposition of number of life years lost according to causes of death

(2013) P. K. Andersen   STATISTICS IN MEDICINE

Goodness-of-fit test for proportional subdistribution hazards model

(2013) Bingqing Zhou et al.   STATISTICS IN MEDICINE

The performance of different propensity score methods for estimating marginal hazard ratios

(2012) Peter C. Austin   STATISTICS IN MEDICINE

Constructing Inverse Probability Weights for Marginal Structural Models

(2008) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Predicting cumulative incidence probability by direct binomial regression

(2008) T. H. Scheike et al.   BIOMETRIKA