Matching by propensity score in cohort studies with three treatment groups

Epidemiology

Volumn 24, Issue 3, 2013, Pages 401-409

  Rassen, Jeremy A ^a   Shelat, Abhi A ^b   Franklin, Jessica M ^a   Glynn, Robert J ^a   Solomon, Daniel H ^a   Schneeweiss, Sebastian ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLOOXYGENASE 2 INHIBITOR; NONSTEROID ANTIINFLAMMATORY AGENT; OPIATE;

AGED; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; COVARIANCE; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MEASUREMENT ERROR; METHODOLOGY; PHARMACOEPIDEMIOLOGY; PRIORITY JOURNAL; PROPENSITY SCORE; RHEUMATOID ARTHRITIS; SIMULATION; THERAPY EFFECT;

AGED; AGED, 80 AND OVER; ALGORITHMS; ANALGESICS, OPIOID; ANTI-INFLAMMATORY AGENTS, NON-STEROIDAL; ARTHRITIS, RHEUMATOID; BIAS (EPIDEMIOLOGY); COHORT STUDIES; COMPUTER SIMULATION; CONFOUNDING FACTORS (EPIDEMIOLOGY); CYCLOOXYGENASE 2 INHIBITORS; EPIDEMIOLOGIC RESEARCH DESIGN; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; PHARMACOEPIDEMIOLOGY; PROPENSITY SCORE; TREATMENT OUTCOME;

EID: 84876294116     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0b013e318289dedf     Document Type: Article

References (21)

1. Rosenbaum PR, Rubin DB. The central role of propensity scores in observational studies for causal effects. Biometrika. 1983;70:41-55.
2. Rubin DB. Estimating causal effects from large data sets using propensity scores. Ann Intern Med. 1997;127(8 Pt 2):757-763.
3. Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005;58:323-337.
4. Stürmer T, Joshi M, Glynn RJ, Avorn J, Rothman KJ, Schneeweiss S. A review of the application of propensity score methods yielded increasing use, advantages in specifc settings, but not substantially different estimates compared with conventional multivariable methods. J Clin Epidemiol. 2006;59:437-447.
5. Brookhart MA, Stürmer T, Glynn RJ, Rassen J, Schneeweiss S. Confounding control in healthcare database research: challenges and potential approaches. Med Care. 2010;48(6 suppl):S114-S120.
6. Austin PC. A critical appraisal of propensity score matching in the medical literature between 1996 and 2003. Stat Med. 2008;27:2037-2049.
7. Stürmer T, Rothman KJ, Avorn J, Glynn RJ. Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution-a simulation study. Am J Epidemiol. 2010;172:843-854.
8. Imbens G. The role of the propensity score in estimating dose-response functions. Biometrika. 2000;87:706-710.
9. Feng P, Zhou XH, Zou QM, Fan M Y, Li XS. Generalized propensity score for estimating the average treatment effect of multiple treatments. Stat Med. 2012;31:681-697.
10. Lu B, Rosenbaum PR. Optimal pair matching with two control groups. J Comput Graph Stat. 2004;13:422-434.
11. Stürmer T, Schneeweiss S, Brookhart MA, Rothman KJ, Avorn J, Glynn RJ. Analytic strategies to adjust confounding using exposure propensity scores and disease risk scores: nonsteroidal antiinfammatory drugs and short-term mortality in the elderly. Am J Epidemiol. 2005;161:891-898.
12. Ming K, Rosenbaum PR. Substantial gains in bias reduction from matching with a variable number of controls. Biometrics. 2000;56:118-124.
13. Austin PC. Some methods of propensity-score matching had superior performance to others: results of an empirical investigation and Monte carlo simulations. Biom J. 2009;51:171-184.
14. Pharmacoepidemiology toolbox version 2. 2013. available at http://www.drugepi.org. accessed 15 February 2013.
15. Solomon DH, Rassen JA, Glynn RJ, Lee J, Levin R, Schneeweiss S. The comparative safety of analgesics in older adults with arthritis. Arch Intern Med. 2010;170:1968-1976.
16. Solomon DH, Rassen JA, Glynn RJ, et al. The comparative safety of opioids for nonmalignant pain in older adults. Arch Intern Med. 2010;170:1979-1986.
17. Cadarette SM, Gagne JJ, Solomon DH, Katz JN, Stürmer T. Confounder summary scores when comparing the effects of multiple drug exposures. Pharmacoepidemiol Drug Saf. 2010;19:2-9.
18. SaS Macros. available at http://mayoresearch.mayo.edu/mayo/research/ biostat/sasmacros.cfm. accessed 15 December 2011.
19. Rassen JA, Shelat AA, Myers J, Glynn RJ, Rothman KJ, Schneeweiss S. One-to-many propensity score matching in cohort studies. Pharmacoepi-demiol Drug Saf. 2012;21(suppl 2):69-80.
20. Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat. 2011;10:150-161.
21. Belitser S V, Martens EP, Pestman WR, Groenwold RH, De Boer A, Klungel OH. Measuring balance and model selection in propensity score methods. Pharmacoepidemiol Drug Saf. 2011;20:1115-1129.