Research

Dr. Justin Manjourides is a biostatistician trained to develop and apply statistical methodologies across disciplines to generate hypotheses, analyze data, and answer major research questions. His primary research agenda is focused on the development and evaluation of novel methodologies to better analyze, quantify, and visualize public health data across disciplines that are prone to mismeasurement and translating those methodologies to broad applications. His primary areas of application are real-world data, environmental epidemiology, occupational health and safety interventions, and the analysis of infectious disease treatment cohorts.

Other Collaborations

A permutation test for determining significance in hierarchical clustering

Examining how spatial resolution effects cluster detection:

An attempt to classify spatial measurement error in spatial epidemiology: