---
title: "Lifetime Data Analysis: 4 recent papers (last 30 days)"
description: "Lifetime Data Analysis published 4 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #212 of 392 journals."
url: https://scholar4ai.com/journals/lifetime-data-analysis
markdown_url: https://scholar4ai.com/journals/lifetime-data-analysis.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Lifetime Data Analysis published 4 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #212 of 392 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-30T12:46:54+09:00
window: 2026-10-01 to 2026-10-30
source: OpenAlex (CC0)
---

# Lifetime Data Analysis

- 0 papers in the last 7 days
- category: Statistics
- publisher: Springer Science+Business Media
- ISSN 1380-7870

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Lifetime Data Analysis published 4 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #212 of 392 journals.
- Leading institutions: University of Tennessee Health Science Center (1), University of Pennsylvania (1) and University of Louisiana at Lafayette (1).
- Countries: United States (4).
- From Oct 2023 to Sep 2026, Lifetime Data Analysis published 115 papers (3 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “survival analysis” (19), “competing risks” (18) and “right censoring” (13).
- Its most-cited paper of the period is “A Bayesian proportional hazards mixture cure model for interval-censored data” (2023-11-28), with 10 citations.
- Since October 2016, its most-cited paper is “Subtleties in the interpretation of hazard contrasts” (2020-07-11), with 114 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 25 | 35 | 55 | 115 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | survival analysis | 19 |
| 2 | competing risks | 18 |
| 3 | right censoring | 13 |
| 4 | nonparametric estimation | 10 |
| 5 | time-to-event outcomes | 10 |
| 6 | asymptotic normality | 9 |
| 7 | asymptotic properties | 9 |
| 8 | feature selection | 9 |
| 9 | time-to-event data | 8 |
| 10 | Cox proportional hazards model | 7 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 10 | 0.3 | [A Bayesian proportional hazards mixture cure model for interval-censored data](https://doi.org/10.1007/s10985-023-09613-8) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2023-11-28 | Chun Pan, Bo Cai, Xuemei Sui |
| 2 | 8 | 0.2 | [The built-in selection bias of hazard ratios formalized using structural causal models](https://doi.org/10.1007/s10985-024-09617-y) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2024-02-15 | Richard A. J. Post, Edwin R. van den Heuvel, Hein Putter |
| 3 | 8 | 0.3 | [A Bayesian quantile joint modeling of multivariate longitudinal and time-to-event data](https://doi.org/10.1007/s10985-024-09622-1) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2024-03-01 | Damitri Kundu, Shekhar Krishnan, Manash Pratim Gogoi et al. |
| 4 | 4 | 0.2 | [Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projections](https://doi.org/10.1007/s10985-024-09634-x) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2024-09-13 | Suryo Adi Rakhmawan, Tahir A. Mahmood, Nasir Abbas et al. |
| 5 | 4 | 0.2 | [Spatiotemporal multilevel joint modeling of longitudinal and survival outcomes in end-stage kidney disease](https://doi.org/10.1007/s10985-024-09635-w) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2024-10-01 | Esra Kürüm, Danh V. Nguyen, Qi Qian et al. |

## Most-cited since October 2016

*The journal's most-cited papers published since October 2016*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 114 | 1.5 | [Subtleties in the interpretation of hazard contrasts](https://doi.org/10.1007/s10985-020-09501-5) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2020-07-11 | Torben Martinussen, Stijn Vansteelandt, Per Kragh Andersen |
| 2 | 70 | 0.7 | [Defining causal mediation with a longitudinal mediator and a survival outcome](https://doi.org/10.1007/s10985-018-9449-0) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2018-09-14 | Vanessa Didelez |
| 3 | 55 | 0.9 | [A generalized theory of separable effects in competing event settings](https://doi.org/10.1007/s10985-021-09530-8) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2021-09-01 | Mats Julius Stensrud, Miguel Ángel Hernán, Eric J. Tchetgen Tchetgen et al. |
| 4 | 49 | 0.4 | [Conditional screening for ultra-high dimensional covariates with survival outcomes](https://doi.org/10.1007/s10985-016-9387-7) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2016-12-08 | Hyokyoung Grace Hong, Jian Kang, Yi Li |
| 5 | 47 | 0.5 | [Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards](https://doi.org/10.1007/s10985-018-9428-5) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2018-02-28 | Ivan Matos Diaz, Elizabeth Colantuoni, Daniel F. Hanley et al. |
| 6 | 43 | 0.7 | [Continuous and discrete-time survival prediction with neural networks](https://doi.org/10.1007/s10985-021-09532-6) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2021-10-01 | Håvard Kvamme, Ørnulf Borgan |
| 7 | 39 | 0.3 | [Modeling restricted mean survival time under general censoring mechanisms](https://doi.org/10.1007/s10985-017-9391-6) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2017-02-21 | Xin Wang, Douglas Earl Schaubel |
| 8 | 38 | 0.3 | [Exponentiated Weibull regression for time-to-event data](https://doi.org/10.1007/s10985-017-9394-3) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2017-03-27 | Shahedul A. Khan |
| 9 | 30 | 0.3 | [Bayesian bivariate survival analysis using the power variance function copula](https://doi.org/10.1007/s10985-017-9396-1) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2017-05-23 | José S. Romeo, Renate Meyer, Diego Ignacio Gallardo |
| 10 | 30 | 0.3 | [Modeling marginal features in studies of recurrent events in the presence of a terminal event](https://doi.org/10.1007/s10985-019-09462-4) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2019-01-29 | Per Kragh Andersen, Jules Angst, Henrik Ravn |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-20 | [Dynamic risk assessment by landmark modeling of the restricted residual mean survival time](https://doi.org/10.1007/s10985-026-09731-z) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Yuan Zhang, Douglas Earl Schaubel | University of Tennessee Health Science Center; University of Pennsylvania |
| 2026-10-20 | [R-estimation with right-censored data](https://doi.org/10.1007/s10985-026-09733-x) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Glen A. Satten, Mo Li, Ni Zhao et al. | Emory University; University of Louisiana at Lafayette; Johns Hopkins University; … |
| 2026-10-15 | [Gradient boosting machine for survival prediction in studies with general failure-time outcome-dependent sampling design](https://doi.org/10.1007/s10985-026-09732-y) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Haolin Li, Haibo Zhou, Jianwen Cai | Boston University; University of North Carolina at Chapel Hill |
| 2026-10-15 | [Estimating heterogeneous treatment effects with survival outcomes via a deep survival learner](https://doi.org/10.1007/s10985-026-09734-w) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Yuming Sun, Jian Kang, Yi Li | William & Mary; University of Michigan |

## Cite this page

Scholar4AI. (2026). Lifetime Data Analysis. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/lifetime-data-analysis

```bibtex
@misc{scholar4ai-journals-lifetime-data-analysis,
  author = {{Scholar4AI}},
  title = {Lifetime Data Analysis},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/lifetime-data-analysis}},
  urldate = {2026-10-30},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).