Academic Journal
Q1Lifetime Data Analysis
About Lifetime Data Analysis
Lifetime Data Analysis is a scholarly journal published by Springer. SCImago 2025 lists it in Q1, with an SJR of 0.916 and H-index of 58.
Coverage: 1995-2026. Research categories: Applied Mathematics (Q1); Medicine (miscellaneous) (Q1).
Verified field sources
- Journal Impact Factor: 1.5 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Editor(s): Mei-Ling Ting Lee PhD (Editor-in-Chief) — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
Source-backed journal facts
Topics in published research
Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Statistical Distribution Estimation and Applications; Advanced Causal Inference Techniques; Statistical Methods in Clinical Trials; Bayesian Methods and Mixture Models.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,090.00 USD; 2,490.00 EUR; 2,190.00 GBP
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Shape-constrained semiparametric maximum likelihood for backward time under an accelerated failure time model
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2026-12 · DOI: 10.1007/s10985-026-09729-7A latent health process model for dynamic risk prediction with application to an HPV study
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Youngjin Cho, Pang Du
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2026-09 · DOI: 10.1007/s10985-026-09724-yTransition dynamics modeling of pre-trained accelerometry representations for time to diagnosis of Parkinson’s disease
Huiming Xie, Fei Xue, Xiao Wang
2026-09 · DOI: 10.1007/s10985-026-09721-1Backward joint model for the joint dynamic prediction of time-to-event and longitudinal data: basic formulation and new developments
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2026-09 · DOI: 10.1007/s10985-026-09725-xCausal effect on the number of life years lost due to a specific event: average treatment effect and variable importance
Simon Christoffer Ziersen, Torben Martinussen
2026-09 · DOI: 10.1007/s10985-026-09712-2Correction to: Nonparametric estimation of a state entry time distribution conditional on a “past” state occupation in a progressive multistate model with current status data
Samuel Anyaso-Samuel, Somnath Datta
2026-09 · DOI: 10.1007/s10985-026-09719-9Threshold regression based on geometric Brownian motion with application to stock market prices
Siwarak Sawongnam, Jiraphan Suntornchost
2026-09 · DOI: 10.1007/s10985-026-09720-2Kolmogorov-Smirnov-type test for dependently double-truncated durations: A copula approach
Anne-Marie Toparkus, Rafael Weißbach
2026-09 · DOI: 10.1007/s10985-026-09722-0Shared frailty sieve estimation for dependent left truncated and interval censored data
Muhammad Mustapha, Zarina Mohd Khalid
2026-09 · DOI: 10.1007/s10985-026-09718-wFunctional win-fractions regression models for composite outcomes
Abhisek Chakraborty, Abhishek Mandal
2026-09 · DOI: 10.1007/s10985-026-09716-yVariable selection in causal semiparametric transformation models with all-or-nothing treatment compliance
Lijun Fang, Shuwei Li, Tao Hu
2026-09 · DOI: 10.1007/s10985-026-09696-zCorrection to: A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model
Boquan Cheng, Bruce Jones, Xiaoming Liu, Rogemar Mamon et al.
2026-09 · DOI: 10.1007/s10985-025-09684-9Unobserved heterogeneity in threshold regression based on the hitting times of a reflected Brownian motion for recurrent hypoglycemia
Yingfa Xie, Haoda Fu, Yuan Huang, Jun Yan et al.
2026-09 · DOI: 10.1007/s10985-026-09717-xVariable selection with broken adaptive ridge regression for interval-censored competing risks data
Fatemeh Mahmoudi, Chenxi Li, Kaida Cai, Xuewen Lu et al.
2026-06 · DOI: 10.1007/s10985-026-09711-3Training-set conditionally valid prediction sets with right-censored data
Wenwen Si, Hongxiang Qiu
2026-06 · DOI: 10.1007/s10985-026-09697-yKolmogorov–Smirnov and Cramér–von Mises tests for the k-sample problem with left-truncated and right-censored data
Adrián Lago, Juan Carlos Pardo-Fernández, Jacobo de Uña-Álvarez
2026-06 · DOI: 10.1007/s10985-026-09713-1Reviews
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October 2, 2026 at 8:29 pm
October 2, 2026