Lifetime Data Analysis
Overview
Lifetime Data Analysis is a scholarly journal that focuses on statistical methods and models for analyzing lifetime data, including survival analysis, reliability, and quality control. It publishes research articles, reviews, and case studies, providing a platform for researchers and practitioners to exchange knowledge and advancements in this field.
Details
Details
Abbr.
Lifetime Data Anal
Publisher
Springer
Start
1995
End
Continuing
Frequency
Quarterly
p-ISSN
1380-7870
e-ISSN
1572-9249
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 6943
53
SJR / Ranks: 3328
1079
CiteScore / Ranks: 10255
2.20
JIF / Ranks: 6403
1.3
Recent Articles
1.
Cuparic M, Milosevic B
Lifetime Data Anal
. 2025 Mar;
PMID: 40035941
Here we revisit a goodness-of-fit testing problem for randomly right-censored data in the presence of cured subjects, i.e. the population consists of two parts: the cured or non-susceptible group, who...
2.
Ng H, Wong K
Lifetime Data Anal
. 2025 Jan;
31(1):205-232.
PMID: 39789300
We study kernel-based estimation methods for partially linear varying coefficient additive hazards models, where the effects of one type of covariates can be modified by another. Existing kernel estimation methods...
3.
Ciuperca G
Lifetime Data Anal
. 2025 Jan;
31(1):149-186.
PMID: 39752001
Based on the expectile loss function and the adaptive LASSO penalty, the paper proposes and studies the estimation methods for the accelerated failure time (AFT) model. In this approach, we...
4.
Jin J, Song X, Sun L, Su P
Lifetime Data Anal
. 2024 Dec;
31(1):126-148.
PMID: 39680279
Recurrent events are common in medical practice or epidemiologic studies when each subject experiences a particular event repeatedly over time. In some long-term observations of recurrent events, a terminal event...
5.
Dos Reis Miranda Filho W, Demarqui F
Lifetime Data Anal
. 2024 Dec;
31(1):102-125.
PMID: 39673671
We propose a new class of bivariate survival models based on the family of Archimedean copulas with margins modeled by the Yang and Prentice (YP) model. The Ali-Mikhail-Haq (AMH), Clayton,...
6.
Shen P
Lifetime Data Anal
. 2024 Nov;
31(1):76-101.
PMID: 39550754
Interval sampling is widely used for collection of disease registry data, which typically report incident cases during a certain time period. Such sampling scheme induces doubly truncated data if the...
7.
Arachchige S, Chen X, Zhou Q
Lifetime Data Anal
. 2024 Oct;
31(1):52-75.
PMID: 39441437
We propose a two-stage estimation procedure for a copula-based model with semi-competing risks data, where the non-terminal event is subject to dependent censoring by the terminal event, and both events...
8.
Stijven F, Molenberghs G, Van Keilegom I, Van der Elst W, Alonso A
Lifetime Data Anal
. 2024 Oct;
31(1):1-23.
PMID: 39397147
Putative surrogate endpoints must undergo a rigorous statistical evaluation before they can be used in clinical trials. Numerous frameworks have been introduced for this purpose. In this study, we extend...
9.
Hartman N
Lifetime Data Anal
. 2024 Oct;
31(1):24-51.
PMID: 39395078
Period-prevalent cohorts are often used for their cost-saving potential in epidemiological studies of survival outcomes. Under this design, prevalent patients allow for evaluations of long-term survival outcomes without the need...
10.
Fang W, Zhou J, Xie M
Lifetime Data Anal
. 2024 Oct;
31(1):187-204.
PMID: 39395077
Recurrent event data with a terminal event arise in follow-up studies. The current literature has primarily focused on the effect of covariates on the recurrent event process using marginal estimating...