Results 41 to 50 of about 331,748 (244)

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, Elizabeth M. Hashimoto, Edwin M. M. Ortega, Taciana V. Savian, Gauss M. Cordeiro   +4 more
doaj   +1 more source

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

Partially linear censored quantile regression [PDF]

, 2009
Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore, JL Powell, K Doksum, L Peng, L Tian, M Buchinsky, R Koenker, R Koenker, R Koenker, RJ Gray, S Portnoy, Stephen Portnoy, T Neocleous, Tereza Neocleous, V Chernozhukov, X He, X He, X He   +17 more
core   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Continuity Correction and Standard Error Calculation for Testing in Proportional Hazards Models

Stats
Standard asymptotic inference for proportional hazards models is conventionally performed by calculating a standard error for the estimate and comparing the estimate divided by the standard error to a standard normal distribution.
Daniel Baumgartner, John E. Kolassa
doaj   +1 more source

Comparison of radiomic feature aggregation methods for patients with multiple tumors

Scientific Reports, 2021
Radiomic feature analysis has been shown to be effective at analyzing diagnostic images to model cancer outcomes. It has not yet been established how to best combine radiomic features in cancer patients with multifocal tumors.
Enoch Chang, Marina Z. Joel, Hannah Y. Chang, Justin Du, Omaditya Khanna, Antonio Omuro, Veronica Chiang, Sanjay Aneja   +7 more
doaj   +1 more source

Simulating Survival Data Using the simsurv R Package

Journal of Statistical Software, 2021
The simsurv R package allows users to simulate survival (i.e., time-to-event) data from standard parametric distributions (exponential, Weibull, and Gompertz), two-component mixture distributions, or a user-defined hazard function.
Samuel L. Brilleman, Rory Wolfe, Margarita Moreno-Betancur, Michael J. Crowther   +3 more
doaj   +1 more source

Age- and time-varying proportional hazards models for employment discrimination

, 2010
We use a discrete-time proportional hazards model of time to involuntary employment termination. This model enables us to examine both the continuous effect of the age of an employee and whether that effect has varied over time, generalizing earlier work
Kadane, Joseph, Woodworth, George
core   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait, R. Al‐Saadi, A. Lopez‐Cortes, K. Dzhuma, M. Oostveen, J. Brok, S. Irtan, M. Weeks, J. Bate, S. Baker, R. Williams, M. Powis, D. Saunders, O. Olsen, T. Watson, S. Shelmerdine, S. Vaidya, L. Howell, C. Duncan, G. M. Vujanic, C. Stiller, G. P. Balchin, T. Chowdhury, K. Pritchard‐Jones   +23 more
wiley   +1 more source

Likelihood approach for marginal proportional hazards regression in the presence of dependent censoring [PDF]

, 2005
In many public health problems, an important goal is to identify the effect of some treatment/intervention on the risk of failure for the whole population. A marginal proportional hazards regression model is often used to analyze such an effect.
Zeng, Donglin
core   +3 more sources