Results 321 to 330 of about 800,848 (376)

Discrete Proportional Hazards Models for Mismeasured Outcomes

Biometrics, 2003
Outcome mismeasurement can lead to biased estimation in several contexts. Magder and Hughes (1997, American Journal of Epidemiology 146, 195-203) showed that failure to adjust for imperfect outcome measures in logistic regression analysis can conservatively bias estimation of covariate effects, even when the mismeasurement rate is the same across ...
Meier, Amalia S., Richardson, Barbra A., Hughes, James P.   +2 more
openaire   +3 more sources

Masking Unmasked in the Proportional Hazards Model

Biometrics, 2000
Summary.Influence measures based on the pairwise deletion approach and the differentiation approach are developed for unmasking observations masked by other observations in the proportional hazards model. These influential observations might have substantial impact on statistical inference and might provide important information for model adequacy. One
Wei, Wen Hsiang, Kosorok, Michael R.
openaire   +3 more sources

Reduced-rank hazard regression for modelling non-proportional hazards

Statistics in Medicine, 2006
The Cox proportional hazards model is the most common method to analyse survival data. However, the proportional hazards assumption might not hold. The natural extension of the Cox model is to introduce time-varying effects of the covariates. For some covariates such as (surgical)treatment non-proportionality could be expected beforehand.
Perperoglou, Aris, Cessie, Saskia le, van Houwelingen, Hans C   +2 more
openaire   +3 more sources

Regression Dilution in the Proportional Hazards Model

Biometrics, 1993
The problem of regression dilution arising from covariate measurement error is investigated for survival data using the proportional hazards model. The naive approach to parameter estimation is considered whereby observed covariate values are used, inappropriately, in the usual analysis instead of the underlying covariate values. A relationship between
openaire   +3 more sources

Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model

Reliability Engineering & System Safety, 2020
Rui Zheng, Bingkun Chen, Liudong Gu
semanticscholar   +1 more source

Survival Analysis Cox’s Proportional Hazards Model)

2001
Abstract The San Francisco Men’s Health Study is based on a sample of 1034 single men ages 24 to 54 years. These men were recruited using a multistage prob­ ability sample and were followed from July 1984 to December 1987. Mem­ bers of the cohort were interviewed and examined every six months.
openaire   +1 more source

Selective health indicator for bearings ensemble remaining useful life prediction with genetic algorithm and Weibull proportional hazards model

, 2020
Guangqi Qiu, Yingkui Gu, Junjie Chen
semanticscholar   +1 more source

A Proportional Hazards Model for the Subdistribution of a Competing Risk

, 1999
J. Fine, R. Gray
semanticscholar   +1 more source

The Robust Inference for the Cox Proportional Hazards Model

, 1989
D. Lin, L. J. Wei
semanticscholar   +1 more source

Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino, Roberto Carmagnani Pestana, Shanu Modi   +2 more
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