Comments on 'The performance of different propensity score methods for estimating marginal odds ratios'

Statistics in Medicine

Volumn 27, Issue 19, 2008, Pages 3915-3917

  Graf, Erika ^a   Schumacher, Martin ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

LETTER; LOGISTIC REGRESSION ANALYSIS; MANTEL HAENSZEL TEST; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; QUALITY CONTROL; RISK ASSESSMENT; SCORING SYSTEM; STATISTICAL ANALYSIS; SYSTEMATIC ERROR;

BIAS (EPIDEMIOLOGY); EPIDEMIOLOGIC METHODS; HUMANS; LOGISTIC MODELS; ODDS RATIO; ONTARIO;

EID: 50449087323     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3271     Document Type: Letter

References (9)

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2. Austin PC, Grootendorst P, Normand SLT, Anderson GM. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study. Statistics in Medicine 2007; 26:754-768.
3. Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983; 70(1):41-55.
4. Stürmer T, Joshi M, Glynn RJ, Avorn J, Rothmann KJ, Schneeweiss S. A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods. Journal of Clinical Epidemiology 2006; 59(5):437-461.
5. Martens EP, Pestman WR, Klungel OH. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study (p n/a) by Peter C. Austin, Paul Grootendorst, Sharon-Lise T. Normand, Geoffrey M. Anderson, Statistics in Medicine, published online: 16 June 2006. DOI: 10.1002/sim.2618. Statistics in Medicine 2007; 26(16):3208-3210; author reply 3210-3212.
6. Austin PC. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine 2007. DOI: 10.1002/sim.3150.
7. Drake C, Fisher L. Prognostic models and the propensity score. International Journal of Epidemiology 1995; 24(1):183-187.
8. Greenland S. Interpretation and choice of effect measures in epidemiologic analyses. American Journal of Epidemiology 1987; 125:761-768.
9. Senn S, Graf E, Caputo A. Stratification for the propensity score compared with linear regression techniques to assess the effect of treatment or exposure. Statistics in Medicine 2007; 26(30):5529-5544.