Integrative Bayesian models using Post‐selective inference: A case study in radiogenomics-Reference-Cited by-同舟云学术

Integrative Bayesian models using Post‐selective inference: A case study in radiogenomics

Published:2022-08-31 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Panigrahi Snigdha¹^ORCID,Mohammed Shariq²³^ORCID,Rao Arvind²³⁴⁵,Baladandayuthapani Veerabhadran²³^ORCID

Affiliation:

1. Department of Statistics University of Michigan Ann Arbor Michigan USA

2. Department of Biostatistics University of Michigan Ann Arbor Michigan USA

3. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor Michigan USA

4. Department of Biomedical Engineering University of Michigan Ann Arbor Michigan USA

5. Department of Radiation Oncology University of Michigan Ann Arbor Michigan USA

Funder

Division of Cancer Prevention, National Cancer Institute

National Institutes of Health

National Science Foundation

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.13740

Reference24 articles.

1. The Role of Myosin II in Glioma Invasion of the Brain

2. Inference on Treatment Effects after Selection among High-Dimensional Controls

3. False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters

4. Valid post-selection inference

5. The Impact of Model Selection on Inference in Linear Regression

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