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Journal of Biopharmaceutical Statistics|August 19, 2025
Evaluating bias in the anchor method for the minimal clinically important difference: a simulation approachGreg Hather, Polyna Khudyakov
Statistics in Medicine|April 14, 2015
The impact of covariate measurement error on risk predictionPolyna Khudyakov, Malka Gorfine, David Zucker, et al.
American Journal of Epidemiology|August 8, 2013
Confidence intervals for heterogeneity measures in meta-analysisBahi Takkouche, Polyna Khudyakov, Julián Costa-Bouzas, et al.
American Journal of Public Health|November 22, 2017
Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else EntirelyDonna Spiegelman, Polyna Khudyakov, Molin Wang, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|November 17, 2025
Statistical methods for cost-effectiveness analysis of left-truncated and right-censored survival data with treatment delaysPolyna Khudyakov, Li Xu, Ce Yang, et al.
American Journal of Epidemiology|December 3, 2011
Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and softwareNicola Orsini, Ruifeng Li, Alicja Wolk, et al.
Statistics in Medicine|May 11, 2016
A new measure of between-studies heterogeneity in meta-analysisAlessio Crippa, Polyna Khudyakov, Molin Wang, et al.
Journal of Occupational Health|December 1, 2017
Dietary interventions to prevent and manage diabetes in worksite settings: a meta-analysisArchana Shrestha, Biraj Man Karmacharya, Polyna Khudyakov, et al.
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