A multiparameter regression model for interval‐censored survival data

التفاصيل البيبلوغرافية
العنوان: A multiparameter regression model for interval‐censored survival data
المؤلفون: Kevin Burke, Gilbert MacKenzie, Defen Peng
المساهمون: IRC
المصدر: Statistics in Medicine. 39:1903-1918
بيانات النشر: Wiley, 2020.
سنة النشر: 2020
مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Epidemiology, Computer science, Interval (mathematics), 01 natural sciences, gamma frailty, Methodology (stat.ME), 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Survival data, Gamma frailty, Statistics, longitudinal studies, Humans, Computer Simulation, Statistical dispersion, Prospective Studies, 030212 general & internal medicine, 0101 mathematics, Statistics - Methodology, Survival analysis, Probability, Proportional Hazards Models, Parametric statistics, Models, Statistical, interval censoring, crossing hazards, Regression analysis, Survival Analysis, Regression, 62N01, 62N02, dispersion model, multi-parameter regression survival models
الوصف: peer-reviewed The full text of this article will not be available in ULIR until the embargo expires on the 24/04/2021 We develop flexible multiparameter regression (MPR) survival models for interval‐censored survival data arising in longitudinal prospective studies and longitudinal randomised controlled clinical trials. A multiparameter Weibull regression survival model, which is wholly parametric, and has nonproportional hazards, is the main focus of the article. We describe the basic model, develop the interval‐censored likelihood, and extend the model to include gamma frailty and a dispersion model. We evaluate the models by means of a simulation study and a detailed reanalysis of data from the Signal Tandmobiel study. The results demonstrate that the MPR model with frailty is computationally efficient and provides an excellent fit to the data.
تدمد: 1097-0258
0277-6715
DOI: 10.1002/sim.8508
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b5f9ffff127e4d899edfac76a5f2eb
https://doi.org/10.1002/sim.8508
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....17b5f9ffff127e4d899edfac76a5f2eb
قاعدة البيانات: OpenAIRE
الوصف
تدمد:10970258
02776715
DOI:10.1002/sim.8508