Results 1 to 10 of about 1,821,882 (341)

Survival Analysis with Cox Proportional Hazards Model in Predicting Patient Outcomes

International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-]
Survival analysis is crucial for understanding the factors that influence patient outcomes across time. The objective is to predict the outcomes of patient survival under various circumstances using the Cox Proportional Hazards Model. The main objectives
Monikapreethi S K, J. Preetha, K. N. Reddy, S. Ramya, Y. S, S. Murugan   +5 more
semanticscholar   +1 more source

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

Prediction of hard failures with stochastic degradation signals using Wiener process and proportional hazards model

Computers & industrial engineering, 2018
In this paper, we propose a method to predict the remaining useful life (RUL) of systems subject to hard failures, which are probabilistically linked to system degradation signals (health indictors).
Jianing Man, Qiang Zhou
semanticscholar   +1 more source

The cost of checking proportional hazards

Statistics in Medicine, 2008
AbstractConfidence intervals (CIs) and the reported predictive ability of statistical models may be misleading if one ignores uncertainty in the model selection procedure. When analyzing time‐to‐event data using Cox regression, one typically checks the proportional hazards (PH) assumption and subsequently alters the model to address any violations ...
openaire   +2 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

Proportional Hazards Model

, 2014
Xinyu Tang
semanticscholar   +2 more sources

The Proportional Hazards Model

1988
In this chapter and Chapter 7, we will consider models of the length of time until recidivism that contain individual characteristics as explanatory variables. The models of Chapter 7 will be parametric models in the sense that they will assume a particular distribution for the survival times; for example, we will estimate a model based on the ...
Peter Schmidt, Ann Dryden Witte
openaire   +1 more source

On Proportional Hazard Functions

Technometrics, 1970
The purpose of this note is to establish and make precise the following proposition: The minimum of independent random variables X and Y is independent of the event X x) if P(X = x ...
openaire   +1 more source

A note on proportional hazards and proportional odds models

Statistics & Probability Letters, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Shande, Manatunga, Amita K.
openaire   +2 more sources

The proportional hazards regression with a censored covariate

Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Sungim, Park, S. H., Park, Jinho
openaire   +1 more source