Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small

Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study

(2020) Ben Van Calster et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Calculating the sample size required for developing a clinical prediction model

(2020) Richard D Riley et al.   BMJ-British Medical Journal

The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

(2019) Peter C. Austin et al.   STATISTICS IN MEDICINE

Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes

(2018) Richard D Riley et al.   STATISTICS IN MEDICINE

Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes

(2018) Richard D. Riley et al.   STATISTICS IN MEDICINE

A calibration hierarchy for risk models was defined: from utopia to empirical data

(2016) Ben Van Calster et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

(2015) Karel G.M. Moons et al.   ANNALS OF INTERNAL MEDICINE

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

(2015) Gary S. Collins et al.   STATISTICS IN MEDICINE

How to develop a more accurate risk prediction model when there are few events

(2015) Menelaos Pavlou et al.   BMJ-British Medical Journal

How to develop a more accurate risk prediction model when there are few events

(2015) Menelaos Pavlou et al.   BMJ-British Medical Journal

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Assessing calibration of multinomial risk prediction models

(2014) Kirsten Van Hoorde et al.   STATISTICS IN MEDICINE

Stabilizing the lasso against cross-validation variability

(2013) S. Roberts et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data

(2013) Richard D. Riley et al.   STATISTICS IN MEDICINE

An evaluation of penalised survival methods for developing prognostic models with rare events

(2011) G. Ambler et al.   STATISTICS IN MEDICINE