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Publications by Melissa B. Ford
Bayesian Sensitivity Analysis Methods to Evaluate Bias Due to Misclassification and Missing Data Using Informative Priors and External Validation Data
Cancer Epidemiology
Cancer Research
Epidemiology
Oncology
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Bayesian Sensitivity Analysis of Statistical Models With Missing Data
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On the Correction for Misclassification Bias in Electronic Health Data Using Validation Sample Approaches
Sensitivity Analysis and Emulation for Functional Data Using Bayesian Adaptive Splines
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Efficiency Gains Due to Using Missing Data Procedures in Regression Models
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From “Weight of Evidence” to Quantitative Data Integration Using Multicriteria Decision Analysis and Bayesian Methods
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Bayesian Approach to Learn Bayesian Networks Using Data and Constraints
Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis, by M.J. Daniels and J.W. Hogan
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Sensitivity Analysis for Missing Outcomes in Time-To-Event Data With Covariate Adjustment
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