Maarten van Smeden

statistics machine learning prediction models logistic regression clinical prediction artificial intelligence covid-19 calibration epidemiology statistical learning discrimination prediction ai bias causal inference sample size prediction error shrinkage measurement error living review risk of bias diagnosis systematic review medicine hype finite samples internal validation external validation validation implementation impact prognosis myths medical doctors confounding overfitting probability ridge lasso bayesian statistics latent class analysis gold standard science lab modeling pro's and con's ml methodology pitfalls research design analyses fallacies paradoxes guidelines predictive performance estimands prognosis research forecasting explanation big data reporting simulation missing data rules of thumb corona pandemic cardiology unsupervised learning deep learning threading science communication twitter research questions research firth's correction squared error estimators workshop stein's paradox tuberculosis sensitivity and specificity asa statement p-value inferences