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Statistical Methods to Adjust for Measurement Error in Risk Prediction Models and Observational Studies

2014
The first part of this dissertation focuses on methods to adjust for measurement error in risk prediction models. In chapter one, we propose a nonparametric adjustment for measurement error in time to event data. Measurement error in time to event data used as a predictor will lead to inaccurate predictions.
openaire   +1 more source

American Cancer Society's Report on the Status of Cancer Disparities in the United States, 2021

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L. Siegel   +2 more
exaly  

Cancer Risk Among World Trade Center Rescue and Recovery Workers: A Review

Ca-A Cancer Journal for Clinicians, 2022
Andrew C Todd   +2 more
exaly  

Cancer-Related Risk Factors and Preventive Measures in US Hispanics/Latinos

Ca-A Cancer Journal for Clinicians, 2012
Rebecca L. Siegel   +2 more
exaly  

Factors Influencing Risk-Based Care of the Childhood Cancer Survivor in the 21st Century

Ca-A Cancer Journal for Clinicians, 2018
Israel Fernandez-Pineda   +2 more
exaly  

Proportion and Number of Cancer Cases and Deaths Attributable to Potentially Modifiable Risk Factors in the United States

Ca-A Cancer Journal for Clinicians, 2018
Rebecca L. Siegel   +2 more
exaly  

A Blueprint for the Primary Prevention of Cancer: Targeting Established, Modifiable Risk Factors

Ca-A Cancer Journal for Clinicians, 2018
Alpa V Patel   +2 more
exaly  

Cancer Risk Elicitation and Communication: Lessons From the Psychology of Risk Perception

Ca-A Cancer Journal for Clinicians, 2007
William M P Klein, Michael E Stefanek
exaly  

Opportunities and Strategies for Breast Cancer Prevention Through Risk Reduction

Ca-A Cancer Journal for Clinicians, 2008
Thérèse B Bevers   +2 more
exaly  

Cancer Risks Associated With External Radiation From Diagnostic Imaging Procedures

Ca-A Cancer Journal for Clinicians, 2012
Preetha Rajaraman   +2 more
exaly  

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