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Commentary No. 34 – Recommendations on Statistical Approaches to Account for Dose Uncertainties in Radiation Epidemiologic Risk Models (2024)
Product Details
Sort Title : Commentary No. 34
ISBN : 9781944888367
Scientific Committee :
Executive Summary
The Commentary reviews eight different analytic methods commonly used to adjust for the effect of dose measurement error: simulation extrapolation, regression calibration, Monte Carlo maximum likelihood, Bayesian Markov chain Monte Carlo, Two-dimensional Monte Carlo with Bayesian model averaging, frequentist model averaging, corrected information matrix, and moment reconstruction/moment-adjusted imputation. Each method has advantages and disadvantages that need to be weighed in each individual application.
Excerpts and Related Information
Overview
Table of Contents
Preface
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