The Health Impacts of Climate Change: The Evidence & The Uncertainty

Research Practices and Reproducible Research Harvard Catalyst Biostatistics Seminar The way research is selected for funding, designed, conducted, analyzed, and published can have a substantial impact on the reproducibility of scientific results. Empirical evidence suggests that the efficiency of many currently applied research practices is suboptimal, and there is wide variability across different scientific fields in this regard. This leads to a high prevalence of biased results. Dr. Ioannidis will peruse the current landscape and discuss different possibilities that have been proposed on... Read more about HCatalyst: John Ioannidis

Data Science Panel RSVP requested.

Colorful logN-logS

Regression-Robust Designs of Controlled Experiments

Statistical Analysis of Ordinal Data: Applications to Social Network Analysis and Causal Inference

Why experimenters should not randomize, and what they should do instead

Algorithms for Interpretable Machine Learning

Inference for Dynamic Treatment Regimes

Endogenous Stratification in Randomized Experiments

Comparative effectiveness of dynamic treatment strategies: The renaissance of the parametric g-formula

Scalable Bayes

Bayesian Slicing Methods on Detecting Non-Linear Dependency of Variables

Decoupled Shrinkage and Selection in Linear Models