Lifetime Data Analysis - Recent Top Cited Papers
Lifetime Data Analysis highlights some of the recently top cited papers from the journal:
A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model
Prabhashi W. Withana Gamage, Christopher S. McMahan & Lianming Wang
Lifetime Data Analysis, Vol. 29, 188-212 (2023)Phase-type models for competing risks, with emphasis on identifiability issues
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
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
Riccardo De Bin, Vegard Grødem Stikbakke
Lifetime Data Analysis Vol. 29, 420–440 (2023)A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model
Boquan Cheng & Rogemar Mamon
Lifetime Data Analysis, Vol. 29, 142-187 (2023)