Group sequential design for time-to-event outcome with non-proportional hazards using the concept of relative time utilizing two different Weibull distributions [PDF]
Contemporary Clinical Trials CommunicationsA group sequential design allows investigators to sequentially monitor efficacy and safety as part of interim testing in phase III trials. Literature is well developed in the case of continuous and binary outcomes, however, in case of trials with a time ...
Milind A. Phadnis +2 more
doaj +2 more sources
Limitations of applying the COX proportional hazards model to glioma studies [PDF]
Journal of Translational MedicineJihao Xue +6 more
doaj +2 more sources
Interval-Censored Regression with Non-Proportional Hazards with Applications
Stats, 2023 Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables
Fábio Prataviera +4 more
doaj +1 more source
A New Family of Distributions Based on Proportional Hazards
Mathematics, 2022 In this article, we introduce a new family of symmetric-asymmetric distributions based on skew distributions and on the family of order statistics with proportional hazards.
Guillermo Martínez-Flórez +4 more
doaj +1 more source
Pain and mortality among older adults in Korea [PDF]
Epidemiology and Health, 2021 OBJECTIVES With the increasing elderly population with chronic disease, understanding pain and designing appropriate policy interventions to it have become crucial.
Chiil Song, Wankyo Chung
doaj +1 more source
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset. [PDF]
J Appl StatRosa KC, Calsavara VF, Louzada F.
europepmc +3 more sources
Two-Level Proportional Hazards Models [PDF]
Biometrics, 2002 We extend the proportional hazards model to a two-level model with a random intercept term and random coefficients. The parameters in the multilevel model are estimated by a combination of EM and Newton-Raphson algorithms. Even for samples of 50 groups, this method produces estimators of the fixed effects coefficients that are approximately unbiased ...
Maples, Jerry J. +2 more
openaire +4 more sources
Regression Models for Lifetime Data: An Overview
Stats, 2022 Two methods dominate the regression analysis of time-to-event data: the accelerated failure time model and the proportional hazards model. Broadly speaking, these predominate in reliability modelling and biomedical applications, respectively.
Chrys Caroni
doaj +1 more source
Nonparametric Sieve Maximum Likelihood Estimation of Semi-Competing Risks Data
Mathematics, 2022 In biomedical studies involving time-to-event data, a subject may experience distinct types of events. We consider the problem of estimating the transition functions for a semi-competing risks model under illness-death model framework.
Xifen Huang, Jinfeng Xu
doaj +1 more source
Identification of a competing risks model with unknown transformations of latent failure times [PDF]
, 2005 This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional ...
Berwanger, Dietmar +4 more
core +7 more sources