Results 41 to 50 of about 784,291 (229)

The importance of censoring in competing risks analysis of the subdistribution hazard

BMC Medical Research Methodology, 2017
Background The analysis of time-to-event data can be complicated by competing risks, which are events that alter the probability of, or completely preclude the occurrence of an event of interest.
Mark W. Donoghoe, Val Gebski
doaj   +1 more source

Proportional hazards models with continuous marks

, 2009
For time-to-event data with finitely many competing risks, the proportional hazards model has been a popular tool for relating the cause-specific outcomes to covariates [Prentice et al. Biometrics 34 (1978) 541--554]. This article studies an extension of
Gilbert, Peter B., McKeague, Ian W., Sun, Yanqing   +2 more
core   +1 more source

An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies

Risk Analysis, 2018
The basic assumptions of the Cox proportional hazards regression model are rarely questioned. This study addresses whether hazard ratio, i.e., relative risk (RR), estimates using the Cox model are biased when these assumptions are violated.
S. Moolgavkar, E. T. Chang, Heather N. Watson, E. Lau   +3 more
semanticscholar   +1 more source

Time and dose dependency of bone-sarcomas in patients injected with radium-224 [PDF]

, 1988
The time course and dose dependency of the incidence of bone-sarcomas among 900 German patients treated with high doses of radium-224 is analysed in terms of a proportional hazards model with a log-normal dependency of time to tumor and a linear ...
A. M. Kellerer, C. E. Land, C. W. Mays, CE Land, Committee on the biological effects of ionizing radiations, CW Mays, CW Mays, CW Mays, CW Mays, D Chmelevsky, D. Chmelevsky, H Spiess, H. Spiess, JS Spratt, RR Wick   +14 more
core   +1 more source

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network [PDF]

BMC Medical Research Methodology, 2016
BackgroundMedical practitioners use survival models to explore and understand the relationships between patients’ covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the linear
Jared Katzman, Uri Shaham, A. Cloninger, Jonathan Bates, Tingting Jiang, Y. Kluger   +5 more
semanticscholar   +1 more source

Fitting The First Birth Interval in Indonesia Using Weibull Proportional Hazards Model

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018
The first birth interval is one of the indicators of women’s fertility rate. Because in most cases the first birth interval contains censored observations, the only appropriate statistical method to handle such data is survival analysis.
Alfensi Faruk, Endro Setyo Cahyono, Ning Eliyati   +2 more
doaj   +1 more source

joineR: Joint modelling of repeated measurements and time-to-event data [PDF]

, 2012
The joineR package implements methods for analysing data from longitudinal studies in which the response from each subject consists of a time-sequence of repeated measurements and a possibly censored time-toevent outcome.
Diggle, Peter, Henderson, Robin, Kolamunnage-Dona, Ruwanthi, Philipson, Pete, Sousa, Ines, Williamson, Paula   +5 more
core  

Geoadditive hazard regression for interval censored survival times [PDF]

, 2005
The Cox proportional hazards model is the most commonly used method when analyzing the impact of covariates on continuous survival times. In its classical form, the Cox model was introduced in the setting of right-censored observations.
Kneib, Thomas
core   +4 more sources

ANALYSIS MULTILEVEL SURVIVAL DATA USING COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL

Media Statistika
Multilevel survival data is time-to-event data with a hierarchical or nested structure. This study aims to model the data using the Covariate-Adjusted Frailty Proportional Hazards method, which is an extension of the Cox proportional hazards model with ...
Krismona Sandelvia, Adhitya Ronnie Effendie   +1 more
doaj   +1 more source

PENERAPAN REGRESI COX PROPORTIONAL HAZARD UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI LAMA MENCARI KERJA

E-Jurnal Matematika, 2013
Survival analysis is a statistical method that accommodates the collection of censored data. One of popular method in survival analysis is the Cox Proportional Hazard Regression.
I GEDE ARI SUDANA, NI LUH PUTU SUCIPTAWATI, LUH PUTU IDA HARINI   +2 more
doaj   +1 more source