Survival analysis of irish amyotrophic lateral sclerosis patients diagnosed from 1995-2010. [PDF]
PLoS ONE, 2013 IntroductionThe Irish ALS register is a valuable resource for examining survival factors in Irish ALS patients. Cox regression has become the default tool for survival analysis, but recently new classes of flexible parametric survival analysis tools ...
James Rooney +7 more
doaj +1 more source
, 2018 The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards assumption. When the data size exceeds the computer memory, the standard statistics for testing the proportional ...
Schifano, Elizabeth D. +3 more
core +1 more source
On the use of Fractional Polynomials in Dynamic Cox Models [PDF]
, 2000 Despite a sophisticated research on modelling of survival data in the last years, the most popular model used in practice is still the proportional hazards regression model proposed by Cox (1972).
Berger, Ursula +3 more
core +1 more source
Multiple imputation in Cox regression when there are time-varying effects of covariates. [PDF]
, 2017 In Cox regression, it is important to test the proportional hazards assumption and sometimes of interest in itself to study time-varying effects (TVEs) of covariates. TVEs can be investigated with log hazard ratios modelled as a function of time. Missing
Abrahamowicz +54 more
core +3 more sources
Estimation in Cox proportional hazards model with heteroscedastic errors in covariates
Modern Stochastics: Theory and ApplicationsConsistent estimators of the baseline hazard rate and the regression parameter are constructed in the Cox proportional hazards model with heteroscedastic measurement errors, assuming that the baseline hazard function belongs to a certain class of ...
Oksana Chernova
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 +5 more
core
Estimation of treatment effects in weighted log-rank tests
Contemporary Clinical Trials Communications, 2017 Non-proportional hazards have been observed in clinical trials. The log-rank test loses power and the standard Cox model generally produces biased estimates under such conditions.
Ray S. Lin, Larry F. León
doaj +1 more source
Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated [PDF]
, 2016 © 2016 Royston and Parmar. Background: Most randomized controlled trials with a time-to-event outcome are designed assuming proportional hazards (PH) of the treatment effect. The sample size calculation is based on a logrank test.
Parmar, MKB, Royston, P
core +3 more sources
Frontiers in Medicine, 2022 BackgroundPrognostic models can help to identify patients at risk for end-stage kidney disease (ESKD) at an earlier stage to provide preventive medical interventions. Previous studies mostly applied the Cox proportional hazards model.
Xi Shi +6 more
doaj +1 more source
Determining the Factors Affecting the Survival of HIV Patients: Comparison of Cox Model and the Random Survival Forest Method [PDF]
Disease and Diagnosis, 2019 Background: In recent years, sexually transmitted diseases such as AIDS have become an epidemic and are growing rapidly. Given the importance of controlling the disease in recent years, the awareness of the most important risk factors associated with ...
Nasim Karimi +5 more
doaj +1 more source