Pang M - Search Results

1

Effectiveness and safety among direct oral anticoagulants in nonvalvular atrial fibrillation: A multi-database cohort study with meta-analysis.

Durand M, Schnitzer ME, Pang M, Carney G, Eltonsy S, Filion KB, Fisher A, Jun M, Kuo IF, Matteau A, Paterson JM, Quail J, Renoux C; Canadian Network for Observational Drug Effect Studies (CNODES) Investigators. Durand M, et al. Among authors: pang m. Br J Clin Pharmacol. 2021 Jun;87(6):2589-2601. doi: 10.1111/bcp.14669. Epub 2020 Dec 16. Br J Clin Pharmacol. 2021. PMID: 33242339 Free article.

2

Targeted Maximum Likelihood Estimation for Pharmacoepidemiologic Research.

Pang M, Schuster T, Filion KB, Eberg M, Platt RW. Pang M, et al. Epidemiology. 2016 Jul;27(4):570-7. doi: 10.1097/EDE.0000000000000487. Epidemiology. 2016. PMID: 27031037 Free PMC article.

3

Effect Estimation in Point-Exposure Studies with Binary Outcomes and High-Dimensional Covariate Data - A Comparison of Targeted Maximum Likelihood Estimation and Inverse Probability of Treatment Weighting.

Pang M, Schuster T, Filion KB, Schnitzer ME, Eberg M, Platt RW. Pang M, et al. Int J Biostat. 2016 Nov 1;12(2):/j/ijb.2016.12.issue-2/ijb-2015-0034/ijb-2015-0034.xml. doi: 10.1515/ijb-2015-0034. Int J Biostat. 2016. PMID: 27889705 Free PMC article.

4

Comparative effectiveness and safety of direct oral anticoagulants versus vitamin K antagonists in nonvalvular atrial fibrillation: a Canadian multicentre observational cohort study.

Durand M, Schnitzer ME, Pang M, Carney G, Eltonsy S, Filion KB, Fisher A, Jun M, Kuo IF, Renoux C, Paterson JM, Quail J, Matteau A; Canadian Network for Observational Drug Effect Studies Investigators. Durand M, et al. Among authors: pang m. CMAJ Open. 2020 Dec 18;8(4):E877-E886. doi: 10.9778/cmajo.20200055. Print 2020 Oct-Dec. CMAJ Open. 2020. PMID: 33355273 Free PMC article.

5

Graphic report of the results from propensity score method analyses.

Shrier I, Pang M, Platt RW. Shrier I, et al. Among authors: pang m. J Clin Epidemiol. 2017 Aug;88:154-159. doi: 10.1016/j.jclinepi.2017.06.003. Epub 2017 Jun 8. J Clin Epidemiol. 2017. PMID: 28603009

6

Confounding, effect modification, and the odds ratio: common misinterpretations.

Shrier I, Pang M. Shrier I, et al. Among authors: pang m. J Clin Epidemiol. 2015 Apr;68(4):470-4. doi: 10.1016/j.jclinepi.2014.12.012. Epub 2015 Jan 8. J Clin Epidemiol. 2015. PMID: 25662008 Free PMC article. No abstract available.

7

Spline-based accelerated failure time model.

Pang M, Platt RW, Schuster T, Abrahamowicz M. Pang M, et al. Stat Med. 2021 Jan 30;40(2):481-497. doi: 10.1002/sim.8786. Epub 2020 Oct 26. Stat Med. 2021. PMID: 33105513

8

Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models.

Pang M, Kaufman JS, Platt RW. Pang M, et al. Stat Methods Med Res. 2016 Oct;25(5):1925-1937. doi: 10.1177/0962280213505804. Epub 2013 Oct 9. Stat Methods Med Res. 2016. PMID: 24108272

9

Flexible extension of the accelerated failure time model to account for nonlinear and time-dependent effects of covariates on the hazard.

Pang M, Platt RW, Schuster T, Abrahamowicz M. Pang M, et al. Stat Methods Med Res. 2021 Nov;30(11):2526-2542. doi: 10.1177/09622802211041759. Epub 2021 Sep 21. Stat Methods Med Res. 2021. PMID: 34547928 Free PMC article.

10

On the role of marginal confounder prevalence - implications for the high-dimensional propensity score algorithm.

Schuster T, Pang M, Platt RW. Schuster T, et al. Among authors: pang m. Pharmacoepidemiol Drug Saf. 2015 Sep;24(9):1004-7. doi: 10.1002/pds.3773. Epub 2015 Apr 10. Pharmacoepidemiol Drug Saf. 2015. PMID: 25866189 Free PMC article.

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