[HTML][HTML] Evaluating random forests for survival analysis using prediction error curves
UB Mogensen, H Ishwaran… - Journal of statistical …, 2012 - ncbi.nlm.nih.gov
Prediction error curves are increasingly used to assess and compare predictions in survival
analysis. This article surveys the R package pec which provides a set of functions for …
analysis. This article surveys the R package pec which provides a set of functions for …
Regression modeling strategies
E Nunez, EW Steyerberg, J Nunez - Revista Española de Cardiología …, 2011 - Elsevier
Multivariable regression models are widely used in health science research, mainly for two
purposes: prediction and effect estimation. Various strategies have been recommended …
purposes: prediction and effect estimation. Various strategies have been recommended …
[HTML][HTML] Time-varying covariates and coefficients in Cox regression models
Time-varying covariance occurs when a covariate changes over time during the follow-up
period. Such variable can be analyzed with the Cox regression model to estimate its effect …
period. Such variable can be analyzed with the Cox regression model to estimate its effect …
Estimating and comparing time‐dependent areas under receiver operating characteristic curves for censored event times with competing risks
P Blanche, JF Dartigues… - Statistics in …, 2013 - Wiley Online Library
The area under the time‐dependent ROC curve (AUC) may be used to quantify the ability of
a marker to predict the onset of a clinical outcome in the future. For survival analysis with …
a marker to predict the onset of a clinical outcome in the future. For survival analysis with …
A protocol of no sedation for critically ill patients receiving mechanical ventilation: a randomised trial
T Strøm, T Martinussen, P Toft - The Lancet, 2010 - thelancet.com
Background Standard treatment of critically ill patients undergoing mechanical ventilation is
continuous sedation. Daily interruption of sedation has a beneficial effect, and in the general …
continuous sedation. Daily interruption of sedation has a beneficial effect, and in the general …
[图书][B] Frailty models in survival analysis
A Wienke - 2010 - taylorfrancis.com
The concept of frailty offers a convenient way to introduce unobserved heterogeneity and
associations into models for survival data. In its simplest form, frailty is an unobserved …
associations into models for survival data. In its simplest form, frailty is an unobserved …
[图书][B] Competing risks and multistate models with R
J Beyersmann, A Allignol, M Schumacher - 2011 - books.google.com
This book covers competing risks and multistate models, sometimes summarized as event
history analysis. These models generalize the analysis of time to a single event (survival …
history analysis. These models generalize the analysis of time to a single event (survival …
Longer-term all-cause and cardiovascular mortality with intensive blood pressure control: a secondary analysis of a randomized clinical trial
Importance The Systolic Blood Pressure Intervention Trial (SPRINT) showed that intensive
blood pressure control reduced cardiovascular morbidity and mortality. However, the legacy …
blood pressure control reduced cardiovascular morbidity and mortality. However, the legacy …
A simple unified approach for estimating natural direct and indirect effects
T Lange, S Vansteelandt… - American journal of …, 2012 - academic.oup.com
An important problem within both epidemiology and many social sciences is to break down
the effect of a given treatment into different causal pathways and to quantify the importance …
the effect of a given treatment into different causal pathways and to quantify the importance …
The statistical analysis of recurrent events
RJ Cook, JF Lawless - 2007 - Springer
The Statistical Analysis of Recurrent Events | SpringerLink Skip to main content Advertisement
SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover Book © 2007 …
SpringerLink Log in Menu Find a journal Publish with us Search Cart Book cover Book © 2007 …