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)