Clinical InvestigationsComparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: Should we be analyzing cardiovascular outcomes data differently?☆
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Textbook outcome after rectal cancer surgery as a composite measure for quality of care: A population-based study
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2019, Journal of ArthroplastyCitation Excerpt :We included the interaction term between hospital volume and surgeon volume [17,42,44]. A 3-level hierarchical model, which is appropriate to analyze hierarchically nested data, was used to estimate the effects of patient-level, surgeon-level, and hospital-level covariates [45,46]. Multilevel logistic regression modeling was applied to explore the relationships of hospital and surgeon volume thresholds with 30-day unplanned readmission, and multilevel linear regression modeling was used to examine the relationships of hospital and surgeon volume thresholds with costs and LOS.
Accounting for clustering in automated variable selection using hospital data: a comparison of different LASSO approaches
2023, BMC Medical Research Methodology
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Supported in part by an operating grant from the Canadian Institutes of Health Research (CIHR). Dr Tu is supported by a Canada Research Chair in Health Services Research. The Institute for Clinical Evaluative Sciences is supported in part by a grant from the Ontario Ministry of Health and Long Term Care.