1.8k citations · 1.8k across the 4 of their papers we have counts for
4 papers
The Metropolis algorithm: A useful tool for epidemiologists
Alexander P Keil, Jessie K Edwards, Ashley I Naimi +1
The Metropolis algorithm is a Markov chain Monte Carlo (MCMC) algorithm used to simulate from parameter distributions of interest, such as generalized linear model parameters. The…
A quantile-based g-computation approach to addressing the effects of exposure mixtures
Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien +3
Exposure mixtures frequently occur in data across many domains, particularly in the fields of environmental and nutritional epidemiology. Various strategies have arisen to answer q…
Super learning in the SAS system
Alexander P. Keil, Daniel Westreich, Jessie K Edwards +1
Background and objective: Stacking is an ensemble machine learning method that averages predictions from multiple other algorithms, such as generalized linear models and regression…
A Bayesian approach to the g-formula
Alexander P. Keil, Eric J. Daza, Stephanie M. Engel +2
Epidemiologists often wish to estimate quantities that are easy to communicate and correspond to the results of realistic public health scenarios. Methods from causal inference can…