A. John Petkau

Lee, T.Y., Petkau, J. & Sadatsafavi, M. Long-term natural history of severe asthma exacerbations and their impact on the disease course. Annals of the American Thoracic Society, 19, 907-915 (2022).

Karim, M.E., Tremlett, H., Zhu, F., Petkau, J., & Kingwell, E. Dealing with treatment-confounder feedback and sparse follow-up in longitudinal studies: application of a marginal structural model in a multiple sclerosis cohort. American Journal of Epidemiology, 190, 908-917 (2021).

Högg, T., Zhao, Y., Gustafson, P., Petkau, J., Fisk, J., Marrie, R.A. & Tremlett, H. Adjusting for differential misclassification in matched case-control studies utilizing health administrative data. Statistics in Medicine, 38, 3669-3681 (2019).

Kingwell, E., Leray, E., Zhu, F., Petkau, J., Edan, G., Oger, J. & Tremlett, H. Multiple sclerosis: Effect of beta-interferon treatment on survival. Brain, 142, 1324-1333 (2019).

Karim, M.E., Petkau, J., Gustafson, P., Platt, R.W., Tremlett, H. & the BeAMS Study Group. Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical Methods in Medical Research, 27, 1709-1722 (2018).

Högg, T., Petkau, J., Zhao, Y., Gustafson, P., Wijnands, J.M.A. & Tremlett, H. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in Medicine, 36, 4196-4213 (2017).

Kondo, Y., Zhao, Y. & Petkau, J. Identification of treatment responders based on multiple longitudinal outcomes with applications to multiple sclerosis patients. Statistics in Medicine, 36, 1862-1883 (2017).

Riddell, C., Zhao, Y. & Petkau, J. An adaptive clinical trials procedure for a sensitive subgroup examined in the multiple sclerosis context. Statistical Methods in Medical Research, 25, 1330-1345 (2016).

Reich, D.S., White, R., Cortese, I.C.M., Vuolo, L., Shea, C.D., Collins, T.L. & Petkau, J. Sample size calculations for short-term proof-of-concept studies of tissue protection and repair in multiple sclerosis lesions via conventional clinical imaging. Multiple Sclerosis, 21, 1693-1704 (2015).

Kondo, Y., Zhao, Y. & Petkau, J. A flexible mixed effect negative binomial regression model for detecting unusual increases in MRI lesion counts in individual multiple sclerosis patients. Statistics in Medicine, 34, 2165-2180 (2015).

Karim, M.E., Gustafson, P., Petkau, J., Zhao, Y., Shirani, A., Kingwell, E., Evans, C., van der Kop, M., Oger, J. & Tremlett, H. Marginal structural Cox models for estimating the association between beta-interferon exposure and disease progression in a multiple sclerosis cohort. American Journal of Epidemiology, 180, 160-171 (2014).

Zhao, Y., Li, D.K.B., Petkau, A.J., Riddehough, A. & Traboulsee, A. Detection of unusual increases in MRI lesion counts in individual multiple sclerosis patients. Journal of the American Statistical Association, 109, 119-132 (2014).