academic article

• Parameterization of beta distributions for bias parameters of binary exposure misclassification in probabilistic bias analysis..  Epidemiology (Cambridge, Mass.).  2024
• Adjusting adjustments: Using external data to estimate the impact of different confounder sets on published associations..  Epidemiology (Cambridge, Mass.).  2024
• CYP2D6 Phenotype and Breast Cancer Outcomes: A Bias Analysis and Meta-Analysis..  Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.  OF1-OF10. 2024
• Non-differential misclassification of outcome under (near)-perfect specificity: a simulation study..  American journal of epidemiology.  2024
• Sampling Validation Data to Achieve a Planned Precision of the Bias-Adjusted Estimate of Effect..  American journal of epidemiology.  191:1290-1299. 2022
• The Importance of Making Assumptions in Bias Analysis..  Epidemiology (Cambridge, Mass.).  32:617-624. 2021
• Bias Analysis Gone Bad..  American journal of epidemiology.  190:1604-1612. 2021
• Lash et al. Respond to "Better Bias Analysis" and "Toward Better Bias Analysis"..  American journal of epidemiology.  190:1622-1624. 2021
• Assessing Techniques for Quantifying the Impact of Bias Due to an Unmeasured Confounder: An Applied Example..  Clinical epidemiology.  627-635. 2021
• Adaptive Validation Design: A Bayesian Approach to Validation Substudy Design With Prospective Data Collection..  Epidemiology (Cambridge, Mass.).  31:509-516. 2020
• Improving the transparency of meta-analyses with interactive web applications..  BMJ evidence-based medicine.  26:327-332. 2020
• Application of the Adaptive Validation Substudy Design to Colorectal Cancer Recurrence..  Clinical epidemiology.  113-121. 2020