Integrating Epidemiological Data and Conditional Probabilistic Approaches in Clinical Decision-making: A Focus on Kidney Transplantation-Reference-Cited by-同舟云学术

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Integrating Epidemiological Data and Conditional Probabilistic Approaches in Clinical Decision-making: A Focus on Kidney Transplantation

Published:2024-07-24 Issue: Volume: Page:
ISSN:0041-1337
Container-title:Transplantation
language:en
Short-container-title:

Author:

Budhiraja Pooja¹,Schold Jesse D.²³,Heilman Raymond L.¹,Malamon John²⁴,Kaplan Bruce²⁴

Affiliation:

1. Department of Medicine, Mayo Clinic Arizona, Phoenix, AZ.

2. Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO.

3. Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO.

4. Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference9 articles.

1. Bayesians and frequentists.;Bland;BMJ,1998

2. The limitations of risk factors as prognostic tools.;Ware;N Engl J Med,2006

3. Bayesian meta-analyses for comparative effectiveness and informing coverage decisions.;Berry;Med Care,2010

4. The Bayesian information criterion: background, derivation, and applications.;Neath;Wiley Interdiscip Rev Comput Stat,2012

5. Impact of donor kidney biopsy on kidney yield and posttransplant outcomes.;Wang;Am J Transplant,2023

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