Outcome‐adaptive lasso: Variable selection for causal inference-Reference-Cited by-同舟云学术

Outcome‐adaptive lasso: Variable selection for causal inference

Published:2017-03-08 Issue:4 Volume:73 Page:1111-1122
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Shortreed Susan M.¹²,Ertefaie Ashkan³⁴

Affiliation:

1. Biostatistics UnitGroup Health Research Institute Seattle, Washington U.S.A.

2. Department of BiostatisticsUniversity of Washington, School of Public Health Seattle, Washington U.S.A.

3. Department of Biostatistics and Computational BiologyUniversity of Rochester Rochester, New York U.S.A.

4. Department of Statistics, The Wharton SchoolUniversity of Pennsylvania Center for Pharmacoepidemiology Research and Training, University of Pennsylvania Philadelphia, Pennsylvania U.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.12679

Reference46 articles.

1. Variable Selection for Propensity Score Models

2. Covariate selection for the nonparametric estimation of an average treatment effect

3. Estimation and Accuracy After Model Selection

4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

5. Invited Commentary: Variable Selection versus Shrinkage in the Control of Multiple Confounders

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