Understanding the True Prevalence of Prostate Cancer Genomic Subtypes: Use of Inverse Probability Weighting to Correct for Biases in Molecularly Profiled Cohorts

J Urol. 2021 Jun;205(6):1551-1553. doi: 10.1097/JU.0000000000001627. Epub 2021 Jan 27.

Authors

Peter Y Cai¹, Xiaoyue Ma^{1

2}, Paul Christos^{1

2}, Christopher E Barbieri¹, Jonathan E Shoag¹

Affiliations

¹ Department of Urology, New York Presbyterian Hospital - Weill Cornell Medicine, New York, New York.
² Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio.

PMID: 33502239
DOI: 10.1097/JU.0000000000001627

No abstract available

Publication types

Editorial

MeSH terms

Adenocarcinoma / classification
Adenocarcinoma / epidemiology*
Adenocarcinoma / genetics*
Adult
Aged
Aged, 80 and over
Bias
Cohort Studies
Genetic Profile*
Humans
Male
Middle Aged
Prevalence
Prostatic Neoplasms / classification
Prostatic Neoplasms / epidemiology*
Prostatic Neoplasms / genetics*