Propensity-based standardization to enhance the validation and interpretation of prediction model discrimination for a target population

DOI10.1002/sim.9817zbMATH Open1547.622MaRDI QIDQ6626877

Tri Nguyen, Richard D. Riley Riley, Thomas P. A. Debray, Jeroen Hoogland, Unnamed Author, Valentijn M. T. de Jong

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

concordancepropensity scoreprediction modelstandardizationexternal validation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• To explain or to predict?
• Clinical prediction models. A practical approach to development, validation, and updating.
• Robust variance estimation for random effects meta-analysis
• Generalized Raking Procedures in Survey Sampling
• The central role of the propensity score in observational studies for causal effects
• Model-Based Direct Adjustment
• Impact of predictor measurement heterogeneity across settings on the performance of prediction models: a measurement error perspective
• Minimum sample size for developing a multivariable prediction model. II: Binary and time-to-event outcomes
• Sample size considerations and predictive performance of multinomial logistic prediction models
• Developing more generalizable prediction models from pooled studies and large clustered data sets

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