Non-Standard Sampling Methods

January 31 2017

Self-Controlled Designs in Epidemiologic Research

Suzanne Bevan Methodological Playlists, SERplaylists Cardiovascular, Case-Control, Case-Crossover, Causal Inference, Cohort, Confounding, Infectious Disease, Injury/Violence, Methods/Statistics, Non-Standard Sampling Methods, Professional Development 0

Ali Rowhani-Rahbar explains self-controlled designs in epidemiologic research, focusing on methods that use individuals as their own controls. This article reviews applications, strengths, and limitations of these designs for studying transient exposures and outcomes.

Epidemiologic methods for applied research: Answering important public health questions that are not causal

Self-Controlled Designs in Epidemiologic Research

Efficient Sampling to Enhance Studies with Longitudinal and Clustered Data

Non-Standard Sampling Methods

Epidemiologic methods for applied research: Answering important public health questions that are not causal

Self-Controlled Designs in Epidemiologic Research

Efficient Sampling to Enhance Studies with Longitudinal and Clustered Data

2014 Presidential Address: “Revolutionary Changes in the Design and Conduct of Epidemiologic Research—Are We Ready”