Assessing the Impact of Propensity Score Estimation and Implementation on Covariate Balance and Confounding Control Within and Across Important Subgroups in Comparative Effectiveness Research

Sponsored by the Society for Epidemiologlc Research COMMENTARY Invited Commentary: Propensity Scores

Marshall M. Joffe
Paul R. Rosenbaum

January 1999

The propensity score is the conditional probability of exposure to a treatment given observed covari...

Using High-Dimensional Disease Risk Scores in Comparative Effectiveness Research of New Treatments

Wyss, Richard

January 2015

Nonexperimental research using automated healthcare databases can supplement randomized trials to pr...

A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents

Markoulidakis, Andreas
Taiyari, Khadijeh
Holmans, Peter
Pallmann, Philip
Busse, Monica
Godley, Mark D.
Griffin, Beth Ann

May 2022

Randomized controlled trials are the gold standard for measuring causal effects. However, they are o...

Assessing the Impact of Propensity Score Estimation and Implementation on Covariate Balance and Confounding Control Within and Across Important Subgroups in Comparative Effectiveness Research

Girman, Cynthia J.
Gokhale, Mugdha
Kou, Tzuyung Doug
Brodovicz, Kimberly G.
Wyss, Richard
Stürmer, Til

January 2014

Researchers are often interested in estimating treatment effects in subgroups controlling for confou...

Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs

Stürmer, T.
Wyss, R.
Glynn, R. J.
Brookhart, M. A.

January 2014

Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: A systematic review

Ali, M. Sanni
Groenwold, Rolf H.H.
Belitser, S.
Pestman, Wiebe R.
Hoes, Arno W.
Roes, Kit C.B.
Boer, Anthonius De
Klungel, Olaf H.

February 2015

Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...

Propensity Score Methods for Confounding Control in Nonexperimental Research

Brookhart, M. Alan
Wyss, Richard
Layton, J. Bradley
Stürmer, Til

January 2013

Nonexperimental studies are increasingly used to investigate the safety and effectiveness of medical...

[Accepted Manuscript] Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies.

Elze, M.C.
Gregson, J.
Baber, U.
Williamson, E.
Sartori, S.
Mehran, R.
Nichols, M.
Stone, G.W.
Pocock, S.J.

Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...

Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies.

Elze, Markus C
Gregson, John
Baber, Usman
Williamson, Elizabeth
Sartori, Samantha
Mehran, Roxana
Nichols, Melissa
Stone, Gregg W
Pocock, Stuart J

January 2017

Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...

Covariate balance assessment, model selection and bias in propensity score matching: A simulation study

Ali, Sanni
Groenwold, Rolf H.H.
Belitser, S.
Roes, Kit C.B.
Hoes, Arno W.
De Boer, Anthonius
Klungel, Olaf H.

September 2015

Background: In building propensity score (PS) model, inclusion of interaction/square terms in additi...

An overview of the objectives of and the approaches to propensity score analyses

Heinze, Georg
Jüni, Peter

August 2017

The assessment of treatment effects from observational studies may be biased with patients not rando...

Confounding control in a nonexperimental study of STAR*D data: logistic regression balanced covariates better than boosted CART

Ellis, Alan R.
Dusetzina, Stacie B.
Hansen, Richard A.
Gaynes, Bradley N.
Farley, Joel F.
Stürmer, Til

January 2013

Propensity scores, a powerful bias-reduction tool, can balance treatment groups on measured covariat...

Propensity score methods in real-world epidemiology:A practical guide for first-time users

Loke, Yoon Kong
Mattishent, Katharina

April 2020

Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...

Improving Propensity Score Methods in Pharmacoepidemiology

Ali, M.S.

October 2014

Inferences about intended effects of treatments are ideally investigated using randomized control tr...

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal : A systematic review

Ali, M. Sanni
Groenwold, Rolf H H
Belitser, Svetlana V.
Pestman, Wiebe R.
Hoes, Arno W.
Roes, Kit C B
Boer, Anthonius De
Klungel, Olaf H.

February 2015

Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...

Sponsored by the Society for Epidemiologlc Research COMMENTARY Invited Commentary: Propensity Scores

Marshall M. Joffe
Paul R. Rosenbaum

January 1999

The propensity score is the conditional probability of exposure to a treatment given observed covari...

Using High-Dimensional Disease Risk Scores in Comparative Effectiveness Research of New Treatments

Wyss, Richard

January 2015

Nonexperimental research using automated healthcare databases can supplement randomized trials to pr...

A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents

Markoulidakis, Andreas
Taiyari, Khadijeh
Holmans, Peter
Pallmann, Philip
Busse, Monica
Godley, Mark D.
Griffin, Beth Ann

May 2022

Randomized controlled trials are the gold standard for measuring causal effects. However, they are o...

Assessing the Impact of Propensity Score Estimation and Implementation on Covariate Balance and Confounding Control Within and Across Important Subgroups in Comparative Effectiveness Research

Girman, Cynthia J.
Gokhale, Mugdha
Kou, Tzuyung Doug
Brodovicz, Kimberly G.
Wyss, Richard
Stürmer, Til

January 2014

Researchers are often interested in estimating treatment effects in subgroups controlling for confou...

Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs

Stürmer, T.
Wyss, R.
Glynn, R. J.
Brookhart, M. A.

January 2014

Treatment effects, especially when comparing two or more therapeutic alternatives as in comparative ...

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: A systematic review

Ali, M. Sanni
Groenwold, Rolf H.H.
Belitser, S.
Pestman, Wiebe R.
Hoes, Arno W.
Roes, Kit C.B.
Boer, Anthonius De
Klungel, Olaf H.

February 2015

Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...

Propensity Score Methods for Confounding Control in Nonexperimental Research

Brookhart, M. Alan
Wyss, Richard
Layton, J. Bradley
Stürmer, Til

January 2013

Nonexperimental studies are increasingly used to investigate the safety and effectiveness of medical...

[Accepted Manuscript] Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies.

Elze, M.C.
Gregson, J.
Baber, U.
Williamson, E.
Sartori, S.
Mehran, R.
Nichols, M.
Stone, G.W.
Pocock, S.J.

Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...

Comparison of Propensity Score Methods and Covariate Adjustment: Evaluation in 4 Cardiovascular Studies.

Elze, Markus C
Gregson, John
Baber, Usman
Williamson, Elizabeth
Sartori, Samantha
Mehran, Roxana
Nichols, Melissa
Stone, Gregg W
Pocock, Stuart J

January 2017

Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational...

Covariate balance assessment, model selection and bias in propensity score matching: A simulation study

Ali, Sanni
Groenwold, Rolf H.H.
Belitser, S.
Roes, Kit C.B.
Hoes, Arno W.
De Boer, Anthonius
Klungel, Olaf H.

September 2015

Background: In building propensity score (PS) model, inclusion of interaction/square terms in additi...

An overview of the objectives of and the approaches to propensity score analyses

Heinze, Georg
Jüni, Peter

August 2017

The assessment of treatment effects from observational studies may be biased with patients not rando...

Confounding control in a nonexperimental study of STAR*D data: logistic regression balanced covariates better than boosted CART

Ellis, Alan R.
Dusetzina, Stacie B.
Hansen, Richard A.
Gaynes, Bradley N.
Farley, Joel F.
Stürmer, Til

January 2013

Propensity scores, a powerful bias-reduction tool, can balance treatment groups on measured covariat...

Propensity score methods in real-world epidemiology:A practical guide for first-time users

Loke, Yoon Kong
Mattishent, Katharina

April 2020

Real-world epidemiology gives us the unique opportunity to observe large numbers of people, and the ...

Improving Propensity Score Methods in Pharmacoepidemiology

Ali, M.S.

October 2014

Inferences about intended effects of treatments are ideally investigated using randomized control tr...

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal : A systematic review

Ali, M. Sanni
Groenwold, Rolf H H
Belitser, Svetlana V.
Pestman, Wiebe R.
Hoes, Arno W.
Roes, Kit C B
Boer, Anthonius De
Klungel, Olaf H.

February 2015

Objectives To assess the current practice of propensity score (PS) analysis in the medical literatur...

Sponsored by the Society for Epidemiologlc Research COMMENTARY Invited Commentary: Propensity Scores

Marshall M. Joffe
Paul R. Rosenbaum

January 1999

The propensity score is the conditional probability of exposure to a treatment given observed covari...

Using High-Dimensional Disease Risk Scores in Comparative Effectiveness Research of New Treatments

Wyss, Richard

January 2015

Nonexperimental research using automated healthcare databases can supplement randomized trials to pr...

A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents

Markoulidakis, Andreas
Taiyari, Khadijeh
Holmans, Peter
Pallmann, Philip
Busse, Monica
Godley, Mark D.
Griffin, Beth Ann

May 2022

Randomized controlled trials are the gold standard for measuring causal effects. However, they are o...

Assessing the Impact of Propensity Score Estimation and Implementation on Covariate Balance and Confounding Control Within and Across Important Subgroups in Comparative Effectiveness Research

Abstract

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Assessing the Impact of Propensity Score Estimation and Implementation on Covariate Balance and Confounding Control Within and Across Important Subgroups in Comparative Effectiveness Research

Abstract

Extracted data

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