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SSM - Population Health|June 13, 2018
General and specific contextual effects in multilevel regression analyses and their paradoxical relationship: A conceptual tutorialJuan Merlo, Philippe Wagner, Peter C Austin, et al.Health & Place|June 14, 2019
A simple multilevel approach for analysing geographical inequalities in public health reports: The case of municipality differences in obesityJuan Merlo, Philippe Wagner, George LeckiePlos One|April 28, 2016
An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and HealthJuan Merlo, Philippe Wagner, Nermin Ghith, et al.Statistics in Medicine|November 9, 2017
Measures of clustering and heterogeneity in multilevel Poisson regression analyses of rates/count dataPeter C Austin, Henrik Stryhn, George Leckie, et al.Statistics in Medicine|November 26, 2016
The median hazard ratio: a useful measure of variance and general contextual effects in multilevel survival analysisPeter C Austin, Philippe Wagner, Juan MerloPsychological Methods|April 21, 2020
Partitioning variation in multilevel models for count dataGeorge Leckie, William J Browne, Harvey Goldstein, et al.SSM - Population Health|May 1, 2024
A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)Clare R Evans, George Leckie, S V Subramanian, et al.Plos One|August 28, 2019
Precision public health: Mapping socioeconomic disparities in opioid dispensations at Swedish pharmacies by Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)Anna Persmark, Maria Wemrell, Sofia Zettermark, et al.Plos One|October 11, 2019
Correction: Precision public health: Mapping socioeconomic disparities in opioid dispensations at Swedish pharmacies by Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)Anna Persmark, Maria Wemrell, Sofia Zettermark, et al.Statistics in Medicine|April 21, 2026
Extending the Median Odds Ratio (MOR), the Interval Odds Ratio (IOR), and the Proportion of Opposed Odds Ratios (POOR) for Use With 3-Level Multilevel Logistic Regression ModelsPeter C Austin, George LeckiePageof 187