Lifetime Data Analysis - Recent Top Cited Papers
Lifetime Data Analysis highlights some of the recently top cited papers from the journal:
Semi-supervised approach to event time annotation using longitudinal electronic health records (this opens in a new tab)
Liang Liang, Jue Hou, Hajime Uno, Kelly Cho, Yanyuan Ma, Tianxi Cai
Lifetime Data Analysis Vol. 28, 428–491 (2022)Phase-type models for competing risks, with emphasis on identifiability issues (this opens in a new tab)
Bo Henry Lindqvist
Lifetime Data Analysis Vol. 29, 318–341 (2023)On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects (this opens in a new tab)
Paul Frédéric Blanche, Anders Holt, Thomas Scheike
Lifetime Data Analysis Vol. 29, 441–482 (2023)A boosting first-hitting-time model for survival analysis in high-dimensional settings (this opens in a new tab)
Riccardo De Bin, Vegard Grødem Stikbakke
Lifetime Data Analysis Vol. 29, 420–440 (2023)Causal inference with recurrent and competing events (this opens in a new tab)
Matias Janvin, Jessica G. Young, Pål C. Ryalen, Mats J. Stensrud
Lifetime Data Analysis (Published: 12 May 2023)