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Literature DB >> 24518589

Propensity Score Calibration and its Alternatives.

Til Stürmer, Sebastian Schneeweiss, Kenneth J Rothman, Jerry Avorn, Robert J Glynn.

Abstract

Year: 2007 PMID： 24518589 PMCID： PMC2440716 DOI： 10.1093/aje/kwm068

Source DB: PubMed Journal: Am J Epidemiol ISSN： 0002-9262 Impact factor: 4.897

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9 in total

Review 1. A review of uses of health care utilization databases for epidemiologic research on therapeutics.

Authors: Sebastian Schneeweiss; Jerry Avorn
Journal: J Clin Epidemiol Date: 2005-04 Impact factor: 6.437

2. Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration.

Authors: Til Stürmer; Sebastian Schneeweiss; Jerry Avorn; Robert J Glynn
Journal: Am J Epidemiol Date: 2005-06-29 Impact factor: 4.897

3. Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable.

Authors: M Alan Brookhart; Philip S Wang; Daniel H Solomon; Sebastian Schneeweiss
Journal: Epidemiology Date: 2006-05 Impact factor: 4.822

Review 4. Indications for propensity scores and review of their use in pharmacoepidemiology.

Authors: Robert J Glynn; Sebastian Schneeweiss; Til Stürmer
Journal: Basic Clin Pharmacol Toxicol Date: 2006-03 Impact factor: 4.080

5. Commentary: genes as instruments for evaluation of markers and causes.

Authors: Robert J Glynn
Journal: Int J Epidemiol Date: 2006-07-19 Impact factor: 7.196

6. Adjusting for unmeasured confounders in pharmacoepidemiologic claims data using external information: the example of COX2 inhibitors and myocardial infarction.

Authors: Sebastian Schneeweiss; Robert J Glynn; Elizabeth H Tsai; Jerry Avorn; Daniel H Solomon
Journal: Epidemiology Date: 2005-01 Impact factor: 4.822

7. Performance of propensity score calibration--a simulation study.

Authors: Til Stürmer; Sebastian Schneeweiss; Kenneth J Rothman; Jerry Avorn; Robert J Glynn
Journal: Am J Epidemiol Date: 2007-03-28 Impact factor: 4.897

8. Invited commentary: advancing propensity score methods in epidemiology.

Authors: J Michael Oakes; Timothy R Church
Journal: Am J Epidemiol Date: 2007-03-28 Impact factor: 4.897

9. Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error.

Authors: B Rosner; D Spiegelman; W C Willett
Journal: Am J Epidemiol Date: 1990-10 Impact factor: 4.897

9 in total

5 in total

Propensity Score Calibration and its Alternatives.

Review 1. A review of uses of health care utilization databases for epidemiologic research on therapeutics.

2. Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration.

3. Evaluating short-term drug effects using a physician-specific prescribing preference as an instrumental variable.

Review 4. Indications for propensity scores and review of their use in pharmacoepidemiology.

5. Commentary: genes as instruments for evaluation of markers and causes.

6. Adjusting for unmeasured confounders in pharmacoepidemiologic claims data using external information: the example of COX2 inhibitors and myocardial infarction.

7. Performance of propensity score calibration--a simulation study.

8. Invited commentary: advancing propensity score methods in epidemiology.

9. Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error.

Review 1. Adjustments for unmeasured confounders in pharmacoepidemiologic database studies using external information.

Review 2. A pathway to improved prospective observational post-authorization safety studies.

3. Sensitivity analysis for causal inference using inverse probability weighting.

4. Measurement error and misclassification in electronic medical records: methods to mitigate bias.

5. Preadmission statin use and one-year mortality among patients in intensive care - a cohort study.