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

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DISCLAIMER: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our subscribers we are providing this early version of the… Click to show full abstract

DISCLAIMER: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our subscribers we are providing this early version of the article. The paper will be copy edited and typeset, and proof will be reviewed before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to The Journal pertain.

Keywords: understanding true; prevalence prostate; prostate cancer; genomic subtypes; cancer genomic; true prevalence

Journal Title: Journal of Urology
Year Published: 2021

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