survival (R package): papers linking to it

CRAN · CRAN.R-project.org/package=survival

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to survival (R package) (https://CRAN.R-project.org/package=survival), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

48 papers in the tracked journals link to survival (R package) in their Crossref records, the first in 2017; most of them (8) in 2024.
By category: Statistics (33), Health Economics and Policy (5) and AI (3); the journals with the most are Lifetime Data Analysis (14), Computational Statistics & Data Analysis (4) and Statistics and Computing (3).
4 of the papers build on one another: a later paper cites an earlier one that also links survival (R package).

By year#

20172026

Papers linking to survival (R package) by publication year
Year	Papers
2017	4
2018	3
2019	1
2020	4
2021	7
2022	7
2023	5
2024	8
2025	4
2026	5

Journals#

Journals whose papers link to survival (R package) most
Journal	Papers
Lifetime Data Analysis	14
Computational Statistics & Data Analysis	4
Statistics and Computing	3
Annals of the Institute of Statistical Mathematics	3
Japanese Journal of Statistics and Data Science	3

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Semiparametric generalized exponential frailty model for clustered survival data Annals of the Institute of Statistical Mathematics, 2018
- Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data Annals of the Institute of Statistical Mathematics, 2020 — cites the paper above
Weighted U-statistics for likelihood-ratio ordering of bivariate data Statistical Papers, 2022
- U-statistics Based Tests for Marginal Hazard Rate Orderings of Two Dependent Variables Journal of Statistical Theory and Practice, 2024 — cites the paper above

Papers linking to survival (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-01-13	A survey and benchmarking study of multitreatment uplift modeling	Data Mining and Knowledge Discovery	Diego Olaya, Kristof Coussement, Wouter Verbeke	49	cites it
2021-10-01	Continuous and discrete-time survival prediction with neural networks	Lifetime Data Analysis	Håvard Kvamme, Ørnulf Borgan	43	cites it
2021-07-05	Signals in equity-based crowdfunding and risk of failure	Financial Innovation	Felix Reichenbach, Martin Walther	39	cites it
2017-07-25	Firm survival in traded industries: does localization moderate the effects of founding team experience?	Small Business Economics	Cheng Shu, Sharon Alicia Simmons	22	cites it
2022-11-07	Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis	Lifetime Data Analysis	Helene C. W. Rytgaard, Mark J. van der Laan	17	cites it
2018-07-29	Permutation tests for general dependent truncation	Computational Statistics & Data Analysis	Sy Han Chiou, Jing Qian, Elizabeth C. Mormino et al.	16	cites it
2017-03-09	Bayesian two-component measurement error modelling for survival analysis using INLA—A case study on cardiovascular disease mortality in Switzerland	Computational Statistics & Data Analysis	Stefanie Muff, Manuela Ott, Julia Braun et al.	11	cites it
2020-11-24	Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data	Annals of the Institute of Statistical Mathematics	Luiza S. C. Piancastelli, Wagner Barreto‐Souza, Vinícius Diniz Mayrink	11	cites it
2018-03-16	Semiparametric generalized exponential frailty model for clustered survival data	Annals of the Institute of Statistical Mathematics	Wagner Barreto‐Souza, Vinícius Diniz Mayrink	10	cites it
2023-11-28	A Bayesian proportional hazards mixture cure model for interval-censored data	Lifetime Data Analysis	Chun Pan, Bo Cai, Xuemei Sui	10	cites it
2017-08-11	On the relationship between print and mobile channels for newspapers	Electronic Markets	Patrick Winter, Paul Alpar	9	cites it
2018-01-13	Bootstrapping the Kaplan–Meier estimator on the whole line	Annals of the Institute of Statistical Mathematics	Dennis Dobler	7	cites it
2021-04-17	Preferences of patients with asthma or COPD for treatments in pulmonary rehabilitation	Health Economics Review	Kathrin Damm, Heidrun Lingner, Katharina Schmidt et al.	7	cites it
2022-01-29	Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients	Lifetime Data Analysis	Wenbo Wu, Jeremy M. G. Taylor, Andrew F. Brouwer et al.	7	cites it
2022-10-26	Predicting Survival Outcomes in the Presence of Unlabeled Data	Machine Learning	Fateme Nateghi Haredasht, Celine Vens	7	cites it
2019-07-03	Prevalent cohort studies and unobserved heterogeneity	Lifetime Data Analysis	Niels Keiding, Katrine Lykke Albertsen, Helene C. W. Rytgaard et al.	6	cites it
2020-11-30	Kernel machines for current status data	Machine Learning	Yael Travis-Lumer, Yair Goldberg	6	cites it
2021-09-30	Penalized Cox’s proportional hazards model for high-dimensional survival data with grouped predictors	Statistics and Computing	Xuan Dang, Shuai Huang, Xiaoning Qian	6	cites it
2023-01-28	Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards	Lifetime Data Analysis	Kathrin Möllenhoff, Achim Tresch	6	cites it
2022-01-20	Adjuvant treatment of high-risk melanoma – cost-effectiveness analysis of treatment options for BRAF 600 mutated tumors	Health Economics Review	S. Wahler, Alfred Müller, Sabine Fuchs et al.	5	cites it
2023-05-08	Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation	Lifetime Data Analysis	Erik Thorlund Parner, Per Kragh Andersen, Morten T. Overgaard	5	cites it
2024-04-25	Give us ideas! Creating innovativeness through strategic direction of reverse technology transfers	The Journal of Technology Transfer	Kerstin J. Schaefer, Stefan Hennemann, Ingo Liefner	5	cites it
2020-10-12	A dependent Dirichlet process model for survival data with competing risks	Lifetime Data Analysis	Yushu Shi, Purushottam W. Laud, Joan Marie Neuner	4	cites it
2021-07-26	Cost-Effectiveness of Inotuzumab Ozogamicin Compared to Standard of Care Chemotherapy for Treating Relapsed or Refractory Acute Lymphoblastic Leukaemia Patients in Norway and Sweden	PharmacoEconomics - Open	Ilse van Oostrum, T. Alexander Russell-Smith, Maria Jakobsson et al.	4	cites it
2023-04-20	The inverted exponentiated Chen distribution with application to cancer data	Japanese Journal of Statistics and Data Science	Reza Azimi, Mahdy Esmailian, Diego Ignacio Gallardo	4	cites it
2024-01-18	Variational Bayesian analysis of survival data using a log-logistic accelerated failure time model	Statistics and Computing	Chengqian Xian, Camila P. E. de Souza, Wenqing He et al.	4	cites it
2025-06-17	Discrete Event Simulation in R using the ‘Simmer’ Package for Health Economic Modelling: A Tutorial and Illustration in Colon Cancer	Applied Health Economics and Health Policy	Koen Degeling, Jonathan D. Karnon, Michiel van de Ven et al.	4	cites it
2017-05-09	A multi-state approach to patients affected by chronic heart failure	Health Care Management Science	Francesco Grossetti, Francesca Ieva, Anna Maria Paganoni	3	cites it
2021-06-26	Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data	Japanese Journal of Statistics and Data Science	Kyuhyun Kim, Jungyeol Ko, Sangwook Kang	3	cites it
2022-09-09	A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data	Metrika	James H. McVittie, David B. Wolfson, David A. Stephens	3	cites it
2023-09-02	Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes	Lifetime Data Analysis	Xiao Li, Brent R. Logan, S. M. Ferdous Hossain et al.	3	cites it
2024-04-02	Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data	Lifetime Data Analysis	Lola Étiévant, Mitchell H. Gail	3	cites it
2021-04-13	OptBand: optimization-based confidence bands for functions to characterize time-to-event distributions	Lifetime Data Analysis	T. Chen, Samuel Tracy, Hajime Uno	2	cites it
2022-07-02	Weighted U-statistics for likelihood-ratio ordering of bivariate data	Statistical Papers	Sangita Kulathinal, Isha Dewan	2	cites it
2024-10-10	Equivalence Tests Before the End of Follow-up Under Box–Cox Transformation Model	Journal of Statistical Theory and Practice	Pao‐Sheng Shen	2	cites it
2022-05-06	Group linear algorithm with sparse principal decomposition: a variable selection and clustering method for generalized linear models	Statistical Papers	Juan C. Laria, M. Carmen Aguilera‐Morillo, Rosa Elvira Lillo	1	cites it
2024-01-18	Interview completed: the application of survival analysis to detect factors influencing response rates in online surveys	Journal of Marketing Analytics	Ákos Münnich, Mátyás Kocsis, Mark C. Mainwaring et al.	1	cites it
2024-05-07	A general model-checking procedure for semiparametric accelerated failure time models	Statistics and Computing	Dongrak Choi, Woojung Bae, Jun Yan et al.	1	cites it
2026-01-14	Beyond Bonferroni: new multiple contrast tests for time-to-event data under non-proportional hazards	Lifetime Data Analysis	Ina Dormuth, Carolin Herrmann, Frank Konietschke et al.	1	cites it
2026-02-08	Adaptive accelerated failure time modeling with a semiparametric skewed error distribution	Computational Statistics & Data Analysis	Sangkon Oh, Hyunjae Lee, Sangwook Kang et al.	1	cites it
2024-03-26	U-statistics Based Tests for Marginal Hazard Rate Orderings of Two Dependent Variables	Journal of Statistical Theory and Practice	Leena Kulkarni, Sangita Kulathinal, Isha Dewan	0	cites it
2024-06-23	Hypothesis testing in Cox models when continuous covariates are dichotomized: bias analysis and bootstrap-based test	Computational Statistics	Hyunman Sim, S.J. Lee, Bo‐Hyung Kim et al.	0	cites it
2025-02-01	Fitting cure models using pseudo-observations approaches with the R package pseudoCure	Japanese Journal of Statistics and Data Science	Sy Han Chiou, Chien‐Lin Su, Feng‐Chang Lin	0	cites it
2025-02-23	Is the Use of Unanchored Matching-Adjusted Indirect Comparison Always Superior to Naïve Indirect Comparison on Survival Outcomes? A Simulation Study	Applied Health Economics and Health Policy	Ying Liu, Xiaoning He, Jia Liu et al.	0	cites it
2025-04-01	Robust inverse probability weighted estimators for doubly truncated Cox regression with closed-form standard errors	Lifetime Data Analysis	Omar Vazquez, Sharon Xiangwen Xie	0	cites it
2026-05-28	Fully Bayesian estimation of temporal decay in ordinal relational event models	Computational Statistics & Data Analysis	Philip Leifeld, Jackie Siaw Tze Wong	0	cites it
2026-09-01	High-dimensional censored MIDAS logistic regression for corporate survival forecasting	Journal of Econometrics	Wei Miao, Jad Beyhum, Jonas Striaukas et al.	0	cites it
2026-10-31	Nonparametric maximum likelihood estimation for competing risks frailty models	Lifetime Data Analysis	Chew-Seng Chee, Il Do Ha, Youngjo Lee et al.	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). survival (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-survival

@misc{scholar4ai-code-cran-survival,
  author = {{Scholar4AI}},
  title = {survival (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-survival}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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