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Lifetime Data Analysis

An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data


Lifetime Data Analysis OnlineFirst articles


Semiparametric single-index models for optimal treatment regimens with censored outcomes

There is a growing interest in precision medicine, where a potentially censored survival time is often the most important outcome of interest. To discover optimal treatment regimens for such an outcome, we propose a semiparametric proportional …


Median regression models for clustered, interval-censored survival data - An application to prostate surgery study

Genitourinary surgeons and oncologists are particularly interested in whether a robotic surgery improves times to Prostate Specific Antigen (PSA) recurrence compared to a non-robotic surgery for removing the cancerous prostate. Time to PSA …


Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors

We propose an inferential procedure for additive hazards regression with high-dimensional survival data, where the covariates are prone to measurement errors. We develop a double bias correction method by first correcting the bias arising from …


Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation

The incubation period is a key characteristic of an infectious disease. In the outbreak of a novel infectious disease, accurate evaluation of the incubation period distribution is critical for designing effective prevention and control measures .


On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects

Simple logistic regression can be adapted to deal with right-censoring by inverse probability of censoring weighting (IPCW). We here compare two such IPCW approaches, one based on weighting the outcome, the other based on weighting the estimating …

About this journal

Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including actuarial science, economics, engineering, environmental sciences, management, medicine, operations research, public health, and social and behavioral sciences.

A partial list of topics reflecting the broad range of interests covered in the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods.

Officially cited as:

Lifetime Data Anal

Lifetime Data Analysis
Volume 3/1997 - Volume 28/2022
Springer US
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