An extended proportional hazards model for interval-censored data subject to instantaneous failures

• Published in: Lifetime data analysis Vol. 26; no. 1; pp. 158 - 182
• Main Authors: Withana Gamage, Prabhashi W., Chaudari, Monica, McMahan, Christopher S., Kim, Edwin H., Kosorok, Michael R.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2020; Springer Nature B.V
• Subjects: Algorithms; Computer Simulation; Correlation analysis; Data analysis; Economics; Failure analysis; Finance; Hazards; Health Sciences; Humans; Insurance; Management; Mathematics and Statistics; Medical research; Medicine; Operations Research/Decision Theory; Peanuts; Poisson Distribution; Proportional Hazards Models; Quality Control; Random variables; Reliability; Safety and Risk; Statistical models; Statistics; Statistics for Business; Statistics for Life Sciences; Interval-censored data; EM algorithm; Monotone splines; Instantaneous failure data; Proportional hazards model

The proportional hazards (PH) model is arguably one of the most popular models used to analyze time to event data arising from clinical trials and longitudinal studies. In many such studies, the event time is not directly observed but is known relative to periodic examination times; i.e., practition...