Effects of adjusting for instrumental variables on bias and precision of effect estimates (Q35661934)

9 August 2017

title

Effects of adjusting for instrumental variables on bias and precision of effect estimates (English)

1 reference

9 August 2017

1 reference

Sebastian Schneeweiss

series ordinal

5

object named as

Sebastian Schneeweiss

1 reference

9 August 2017

9

Robert J Glynn

1 reference

9 August 2017

3

Joshua J Gagne

1 reference

9 August 2017

4

Krista F Huybrechts

1 reference

9 August 2017

1

Jessica A Myers

1 reference

9 August 2017

2

Jeremy A Rassen

1 reference

9 August 2017

Kenneth J Rothman

6

1 reference

9 August 2017

Kenneth J Rothman

series ordinal

7

1 reference

9 August 2017

Marshall M Joffe

series ordinal

8

1 reference

9 August 2017

language of work or name

English

0 references

publication date

24 October 2011

1 reference

American Journal of Epidemiology

9 August 2017

published in

1 reference

9 August 2017

volume

174

1 reference

9 August 2017

issue

11

1 reference

9 August 2017

page(s)

1213-1222

1 reference

The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration.

9 August 2017

cites work

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Confounding control in healthcare database research: challenges and potential approaches.

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

High-dimensional propensity score adjustment in studies of treatment effects using health care claims data

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Bayesian propensity score analysis for observational data

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Instruments for causal inference: an epidemiologist's dream?

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Variable selection for propensity score models

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Principles for modeling propensity scores in medical research: a systematic literature review

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Estimating causal effects from large data sets using propensity scores

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Matching using estimated propensity scores: relating theory to practice.

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

The Efficiency of Matched Samples: An Empirical Investigation

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Propensity scores and M-structures

12 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Discussion of research using propensity-score matching: comments on 'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003' by Peter Austin, Statistics in Medicine

25 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Re: The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials.

25 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Using observational data to estimate treatment effects.

25 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials.

25 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study.

25 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

Instrumental variables: application and limitations.

25 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3254160

The central role of the propensity score in observational studies for causal effects

25 September 2018

1 reference

Crossref

https://api.crossref.org/works/10.1093%2FAJE%2FKWR364

Estimating treatment effects using observational data

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22025356

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Analytic approaches to observational studies with treatment selection bias

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/22025356

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1093/AJE/KWR364

1 reference

9 August 2017

1 reference

9 August 2017

1 reference