An analytic approach for interpretable predictive models in high-dimensional data in the presence of interactions with exposures-Reference-Cited by-同舟云学术

An analytic approach for interpretable predictive models in high-dimensional data in the presence of interactions with exposures

Published:2018-02-08 Issue:3 Volume:42 Page:233-249
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Bhatnagar Sahir Rai¹²^ORCID,Yang Yi³,Khundrakpam Budhachandra⁴,Evans Alan C.⁴,Blanchette Mathieu⁵,Bouchard Luigi⁶,Greenwood Celia M.T.¹²^ORCID

Affiliation:

1. Department of Epidemiology, Biostatistics and Occupational Health; McGill University; Montréal QC Canada

2. Lady Davis Institute, Jewish General Hospital; Montréal QC Canada

3. Department of Mathematics and Statistics; McGill University; Montréal QC Canada

4. Montreal Neurological Institute; McGill University; Montréal QC Canada

5. Department of Computer Science; McGill University; Montréal QC Canada

6. Department of Biochemistry; Université de Sherbrooke; QC Canada

Funder

Ludmer Centre for Neuroinformatics and Mental Health

Canadian Institutes of Health Research

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Reference58 articles.

1. Bhatnagar , S. R. 2017 eclust: environment based clustering for interpretable predictive models in high dimensional data . R package version 0.1.0 https://github.com/sahirbhatnagar/eclust/

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