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BMJ Open|December 5, 2013
What do measures of agreement (κ) tell us about quality of exposure assessment? Theoretical analysis and numerical simulationIgor Burstyn, Frank de Vocht, Paul GustafsonBMC Medical Research Methodology|June 8, 2020
Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USAIgor Burstyn, Neal D Goldstein, Paul GustafsonPregnancy Hypertension|March 4, 2019
Maternal smoking and gestational hypertension: Heterogeneous effect by timing of the exposureXi Wang, Nora L Lee, Igor BurstynThe Annals of Occupational Hygiene|March 1, 2005
Company-level, semi-quantitative assessment of occupational styrene exposure when individual data are not availableHenrik A Kolstad, Jette Sønderskov, Igor BurstynThe Annals of Occupational Hygiene|May 4, 2006
Attenuation in risk estimates in logistic and Cox proportional-hazards models due to group-based exposure assessment strategyHyang-Mi Kim, Yutaka Yasui, Igor BurstynEpidemiology (Cambridge, Mass.)|July 26, 2021
Effect of Adjustment for Case Misclassification and Infection Date Uncertainty on Estimates of COVID-19 Effective Reproduction NumberNeal D Goldstein, Harrison Quick, Igor BurstynPreventive Medicine|February 28, 2020
Smoking and use of electronic cigarettes (vaping) in relation to preterm birth and small-for-gestational-age in a 2016 U.S. national sampleXi Wang, Nora L Lee, Igor BurstynBMC Pregnancy and Childbirth|May 2, 2023
Smokers' utilization of quitting methods and vaping during pregnancy: an empirical cluster analysis of 2016-2018 Pregnancy Risk Assessment Monitoring System (PRAMS) data in seven US statesXi Wang, Nora L Lee, Igor BurstynJournal of Exposure Science & Environmental Epidemiology|August 21, 2014
Rethinking cumulative exposure in epidemiology, againFrank de Vocht, Igor Burstyn, Nuthchyawach SanguanchaiyakritThe Annals of Occupational Hygiene|September 19, 2012
Aggregation of exposure level and probability into a single metric in job-exposure matrices creates biasIgor Burstyn, Jérôme Lavoué, Martie Van TongerenPageof 18