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Items: 13

1.

Using Super Learner Prediction Modeling to Improve High-Dimensional Propensity Score Estimation.

Wyss R, Schneeweiss S, van der Laan M, Lendle SD, Ju C, Franklin JM.

Epidemiology. 2017 Oct 4. doi: 10.1097/EDE.0000000000000762. [Epub ahead of print]

PMID:
28991001
2.

A review of the performance of different methods for propensity score matched subgroup analyses and a summary of their application in peer-reviewed research studies.

Wang SV, He M, Jin Y, Wyss R, Shin H, Ma Y, Keeton S, Fireman B, Karami S, Major JM, Schneeweiss S, Gagne JJ.

Pharmacoepidemiol Drug Saf. 2017 Oct 6. doi: 10.1002/pds.4328. [Epub ahead of print] Review.

PMID:
28984001
3.

Scalable collaborative targeted learning for high-dimensional data.

Ju C, Gruber S, Lendle SD, Chambaz A, Franklin JM, Wyss R, Schneeweiss S, van der Laan MJ.

Stat Methods Med Res. 2017 Jan 1:962280217729845. doi: 10.1177/0962280217729845. [Epub ahead of print]

PMID:
28936917
4.

Controlling confounding by frailty when estimating influenza vaccine effectiveness using predictors of dependency in activities of daily living.

Zhang HT, McGrath LJ, Wyss R, Ellis AR, Stürmer T.

Pharmacoepidemiol Drug Saf. 2017 Aug 24. doi: 10.1002/pds.4298. [Epub ahead of print]

PMID:
28840621
5.

The "Dry-Run" Analysis: A Method for Evaluating Risk Scores for Confounding Control.

Wyss R, Hansen BB, Ellis AR, Gagne JJ, Desai RJ, Glynn RJ, Stürmer T.

Am J Epidemiol. 2017 May 1;185(9):842-852. doi: 10.1093/aje/kwx032.

PMID:
28338910
6.

Matching on the disease risk score in comparative effectiveness research of new treatments.

Wyss R, Ellis AR, Brookhart MA, Jonsson Funk M, Girman CJ, Simpson RJ Jr, Stürmer T.

Pharmacoepidemiol Drug Saf. 2015 Sep;24(9):951-61. doi: 10.1002/pds.3810. Epub 2015 Jun 25.

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The role of prediction modeling in propensity score estimation: an evaluation of logistic regression, bCART, and the covariate-balancing propensity score.

Wyss R, Ellis AR, Brookhart MA, Girman CJ, Jonsson Funk M, LoCasale R, Stürmer T.

Am J Epidemiol. 2014 Sep 15;180(6):645-55. doi: 10.1093/aje/kwu181. Epub 2014 Aug 20.

10.

Commentary: Balancing automated procedures for confounding control with background knowledge.

Wyss R, Stürmer T.

Epidemiology. 2014 Mar;25(2):279-81. doi: 10.1097/EDE.0000000000000068. No abstract available.

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Propensity score methods for confounding control in nonexperimental research.

Brookhart MA, Wyss R, Layton JB, Stürmer T.

Circ Cardiovasc Qual Outcomes. 2013 Sep 1;6(5):604-11. doi: 10.1161/CIRCOUTCOMES.113.000359. Epub 2013 Sep 10. No abstract available.

13.

Variable selection for propensity score models when estimating treatment effects on multiple outcomes: a simulation study.

Wyss R, Girman CJ, LoCasale RJ, Brookhart AM, Stürmer T.

Pharmacoepidemiol Drug Saf. 2013 Jan;22(1):77-85. doi: 10.1002/pds.3356. Epub 2012 Oct 16.

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