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Gerard J. J. M. Borsboom

Researcher at Erasmus University Rotterdam

Publications -  76
Citations -  6676

Gerard J. J. M. Borsboom is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Population & Birth weight. The author has an hindex of 36, co-authored 76 publications receiving 6015 citations. Previous affiliations of Gerard J. J. M. Borsboom include Erasmus University Medical Center.

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Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

TL;DR: It is concluded that split-sample validation is inefficient, and bootstrapping is recommended for estimation of internal validity of a predictive logistic regression model.
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Validation and updating of predictive logistic regression models: A study on sample size and shrinkage

TL;DR: A logistic regression model may be used to provide predictions of outcome for individual patients at another centre than where the model was developed to improve predictions for future patients.
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Neighborhood Socioeconomic Status and All-Cause Mortality

TL;DR: The findings indicate potential public health benefits of modifying socioeconomic characteristics of areas and suggest the prevalence of poor housing conditions, social disintegration, and unhealthy psychologic profiles and behaviors was higher in neighborhoods with a low socioeconomic status.
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Predictive testing for complex diseases using multiple genes: fact or fiction?

TL;DR: Investigation of the usefulness of multiple genetic testing using simulated data demonstrated that a high to excellent discriminative accuracy can be obtained by simultaneously testing multiple susceptibility genes.
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Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications.

TL;DR: The study showed that epidemics in specific years were associated with specific geographical areas and were significantly more often preceded by a month of abnormally high minimum temperature in the preceding 3 months than based on random chance.