Results 141 to 150 of about 426,709 (217)

Survival Odds to Minimize Risk Heterogeneity Bias in Heart Failure Trials: Application to Dapagliflozin. [PDF]

open access: yesCirc Heart Fail
Myte R   +9 more
europepmc   +1 more source

Fifty Years with the Cox Proportional Hazards Regression Model

Journal of the Indian Institute of Science, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. K. Andersen
openaire   +4 more sources

The Cox Proportional Hazards Model

2016
The proportional hazards (PH) or Cox model holds on E, if the hazard rate has the form $$\begin{aligned} \lambda _{x(\cdot )}(t) = r\{x(t)\} \;\lambda _0(t), \quad x(\cdot ) \in E, \end{aligned}$$ where \(\lambda _0(\cdot )\) is an unspecified baseline hazard rate function , and \(r(\cdot )\) is a positive function on E. The function \(r(\cdot )\
Mikhail Nikulin, Hong-Dar Isaac Wu
openaire   +2 more sources

Model inconsistency, illustrated by the cox proportional hazards model

Statistics in Medicine, 1995
AbstractWe consider problems involving the comparison of two or more treatments where we have the opportunity to adjust for relevant covariates either conditionally in a regression model or implicitly in repeated measures data, for example, in crossover trials. It is seen that for data arising from non‐Normal distributions there is the possibility that
I, Ford, J, Norrie, S, Ahmadi
openaire   +3 more sources

L1Penalized Estimation in the Cox Proportional Hazards Model

Biometrical Journal, 2010
AbstractThis article presents a novel algorithm that efficiently computesL1penalized (lasso) estimates of parameters in high‐dimensional models. The lasso has the property that it simultaneously performs variable selection and shrinkage, which makes it very useful for finding interpretable prediction rules in high‐dimensional data. The new algorithm is
J. Goeman
openaire   +5 more sources

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