Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]
Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Bender, R. +4 more
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Staphylococcus Aureus Bacteriuria as a Predictor of In-Hospital Mortality in Patients with Staphylococcus Aureus Bacteremia. Results of a Retrospective Cohort Study [PDF]
Staphylococcus aureus bloodstream infection (SA-BSI) is an infection with increasing morbidity and mortality. Concomitant Staphylococcus aureus bacteriuria (SABU) frequently occurs in patients with SA-BSI.
Behnke, Michael +6 more
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Statistical methods for elimination of guarantee-time bias in cohort studies: a simulation study
Background Aspirin has been considered to be beneficial in preventing cardiovascular diseases and cancer. Several pharmaco-epidemiology cohort studies have shown protective effects of aspirin on diseases using various statistical methods, with the Cox ...
In Sung Cho +6 more
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Building Cox-Type Structured Hazard Regression Models with Time-Varying Effects [PDF]
In recent years, flexible hazard regression models based on penalised splines have been developed that allow us to extend the classical Cox-model via the inclusion of time-varying and nonparametric effects.
Hartl, Wolfgang +3 more
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An exact corrected log-likelihood function for Cox's proportional hazards model under measurement error and some extensions [PDF]
This paper studies Cox`s proportional hazards model under covariate measurement error. Nakamura`s (1990) methodology of corrected log-likelihood will be applied to the so called Breslow likelihood, which is, in the absence of measurement error ...
Augustin, Thomas
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Relapse happened because of factor that affected an addict back to the previous state. Recurrence rate off an addict that had been treated on a various therapeutic center and rehabilitation was higher from 60% until 80%.
Kardita Puspa Monitasari, Diah Indriani
doaj +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Survival analysis and Cox regression
The data provided by clinical trials are often expressed in terms of survival. The analysis of survival comprises a series of statistical analytical techniques in which the measurements analysed represent the time elapsed between a given exposure and the outcome of a certain event.
N, Benítez-Parejo +2 more
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Partially linear censored quantile regression [PDF]
Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
B Honore +17 more
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Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge
This paper develops a new scalable sparse Cox regression tool for sparse high-dimensional massive sample size (sHDMSS) survival data. The method is a local $L_0$-penalized Cox regression via repeatedly performing reweighted $L_2$-penalized Cox regression.
Kawaguchi, Eric S. +3 more
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