External validation of a Cox prognostic model: principles and methods
Background A prognostic model should not enter clinical practice unless it has been
demonstrated that it performs a useful role. External validation denotes evaluation of model …
demonstrated that it performs a useful role. External validation denotes evaluation of model …
Tools for checking calibration of a Cox model in external validation: Prediction of population-averaged survival curves based on risk groups
P Royston - The Stata Journal, 2015 - journals.sagepub.com
Royston (2014, Stata Journal 14: 738–755) explained how a popular application of the Cox
proportional hazards model “is to develop a multivariable prediction model, often a …
proportional hazards model “is to develop a multivariable prediction model, often a …
Assessing performance and clinical usefulness in prediction models with survival outcomes: practical guidance for Cox proportional hazards models
DJ McLernon, D Giardiello, B Van Calster… - Annals of internal …, 2023 - acpjournals.org
Risk prediction models need thorough validation to assess their performance. Validation of
models for survival outcomes poses challenges due to the censoring of observations and …
models for survival outcomes poses challenges due to the censoring of observations and …
Assessing calibration of prognostic risk scores
CS Crowson, EJ Atkinson… - Statistical methods in …, 2016 - journals.sagepub.com
Current methods used to assess calibration are limited, particularly in the assessment of
prognostic models. Methods for testing and visualizing calibration (eg the Hosmer …
prognostic models. Methods for testing and visualizing calibration (eg the Hosmer …
Comparing Cox and parametric models in clinical studies
A Nardi, M Schemper - Statistics in medicine, 2003 - Wiley Online Library
Parametric models are only occasionally used in the analysis of clinical studies of survival
although they may offer advantages over Cox's model. In this paper, we report experiences …
although they may offer advantages over Cox's model. In this paper, we report experiences …
A new test and graphical tool to assess the goodness of fit of logistic regression models
A prognostic model is well calibrated when it accurately predicts event rates. This is first
determined by testing for goodness of fit with the development dataset. All existing tests and …
determined by testing for goodness of fit with the development dataset. All existing tests and …
Evaluating the proportional hazards assumption
DG Kleinbaum, M Klein, DG Kleinbaum… - Survival analysis: a self …, 2012 - Springer
4 Evaluating the Proportional Hazards Assumption Page 1 4 Evaluating the Proportional
Hazards Assumption DG Kleinbaum and M. Klein, Survival Analysis: A Self-Learning Text …
Hazards Assumption DG Kleinbaum and M. Klein, Survival Analysis: A Self-Learning Text …
Reporting performance of prognostic models in cancer: a review
Background Appropriate choice and use of prognostic models in clinical practice require the
use of good methods for both model development, and for developing prognostic indices …
use of good methods for both model development, and for developing prognostic indices …
[图书][B] What is a Cox model?
SJ Walters - 1999 - Citeseer
The Cox model is a well-recognised statistical technique for analysing survival data. When it
is used to analyse the survival of patients in a clinical trial, the model allows us to isolate the …
is used to analyse the survival of patients in a clinical trial, the model allows us to isolate the …
Graphical calibration curves and the integrated calibration index (ICI) for survival models
In the context of survival analysis, calibration refers to the agreement between predicted
probabilities and observed event rates or frequencies of the outcome within a given duration …
probabilities and observed event rates or frequencies of the outcome within a given duration …