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Which sex does this person have?
Those tools may help us to find out why different people get different predictions (=the goal of descriptive modeling) not what are targets of interventions (=explanatory, causal modeling). Predictive models can probably be described (blackboxes only approximately), but not explained.
IMO, "explainable ML" is a misnomer. Should be "describable ML"
Glad to be in beautiful Leiden with Maarten at the STRATOS meeting. Anyone wanting to improve their statistical practice with respect to observational data analysis should get to know the many STRATOS resources. stratos-initiative.org
Happy to present this NEW PAPER of the STRATOS initiative on 'Regression without regrets: Initial data analysis is a prerequisite for multivariable regression' bmcmedresmethodol.biomedcentral.com/articles/10....
Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors. With a data set at hand,...
Happy to welcome three new predoctoral researchers at the Institute of Clinical Biometrics: Moritz Madern, Sinan Necdet Cevirme, Leonie Lenz-Seraphin, working on prediction and causal inference in health Credits to Theresa Ullmann for the picture!
NEW PAPER out today in the BMJ TRIPOD+AI: reporting recommendations for studies developing or validating prediction models for use in healthcare that use #machinelearningbmj.com/content/385/...#ArtificialIntelligence#AIstandards#OpenAccess
Hot tip for (stat/data science) methodological researchers (ctd.): Reviewer complains that your new prototype method does not seem to be ready for use and its evaluation is not extensive enough? You can answer them along the lines of our "phases paper": onlinelibrary.wiley.com/doi/10.1002/... 1/n