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01/16/2023
Cross-institution text mining to uncover clinical associations: a case study relating social factors and code status in intensive care medicine
Objective: Text mining of clinical notes embedded in electronic medical ...
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07/26/2022
Minimum Sample Size for Developing a Multivariable Prediction Model using Multinomial Logistic Regression
Multinomial logistic regression models allow one to predict the risk of ...
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06/24/2022
Imputation and Missing Indicators for handling missing data in the development and implementation of clinical prediction models: a simulation study
Background: Existing guidelines for handling missing data are generally ...
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02/18/2022
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
Methods to correct class imbalance, i.e. imbalance between the frequency...
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04/19/2021
Risk prediction models for discrete ordinal outcomes: calibration and the impact of the proportional odds assumption
Calibration is a vital aspect of the performance of risk prediction mode...
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02/09/2021
mecor: An R package for measurement error correction in linear regression models with a continuous outcome
Measurement error in a covariate or the outcome of regression models is ...
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01/05/2021
Comparing methods addressing multi-collinearity when developing prediction models
Clinical prediction models are developed widely across medical disciplin...
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12/12/2019
Sensitivity analysis for bias due to a misclassfied confounding variable in marginal structural models
In observational research treatment effects, the average treatment effec...
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07/26/2019
On the variability of regression shrinkage methods for clinical prediction models: simulation study on predictive performance
When developing risk prediction models, shrinkage methods are recommende...
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01/15/2019
A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications
Joint misclassification of exposure and outcome variables can lead to co...
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09/19/2018
Measurement error in continuous endpoints in randomised trials: problems and solutions
In randomised trials, continuous endpoints are often measured with some ...
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07/25/2018
Propensity score estimation using classification and regression trees in the presence of missing covariate data
Data mining and machine learning techniques such as classification and r...
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06/27/2018
