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The American Journal of Clinical Nutrition
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May 4, 2023
Best (but often forgotten) Statistical Practices: Measuring Real-World Intervention Effectiveness using Electronic Health Data
Julian Wolfson, Ashwini Venkatasubramaniam
Statistical Methods in Medical Research
|
November 8, 2021
Assessing effect heterogeneity of a randomized treatment using conditional inference trees
Ashwini Venkatasubramaniam, Brandon Koch, Lauren Erickson, et al.
Emerging Themes in Epidemiology
|
September 26, 2017
Decision trees in epidemiological research
Ashwini Venkatasubramaniam, Julian Wolfson, Nathan Mitchell, et al.
BMC Medical Informatics and Decision Making
|
June 16, 2023
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine
Ashwini Venkatasubramaniam, Bilal A Mateen, Beverley M Shields, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
The American Journal of Clinical Nutrition
|
May 4, 2023
Best (but often forgotten) Statistical Practices: Measuring Real-World Intervention Effectiveness using Electronic Health Data
Julian Wolfson, Ashwini Venkatasubramaniam
Statistical Methods in Medical Research
|
November 8, 2021
Assessing effect heterogeneity of a randomized treatment using conditional inference trees
Ashwini Venkatasubramaniam, Brandon Koch, Lauren Erickson, et al.
Emerging Themes in Epidemiology
|
September 26, 2017
Decision trees in epidemiological research
Ashwini Venkatasubramaniam, Julian Wolfson, Nathan Mitchell, et al.
BMC Medical Informatics and Decision Making
|
June 16, 2023
Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine
Ashwini Venkatasubramaniam, Bilal A Mateen, Beverley M Shields, et al.
Page
of 1