Inverse probability weighted estimation of the marginal odds ratio: Correspondence regarding 'The performance of different propensity score methods for estimating marginal odds ratios'

Statistics in Medicine

Volumn 27, Issue 26, 2008, Pages 5556-5559

  Forbes, Andrew ^a   Shortreed, Susan ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; MONTE CARLO METHOD; NOTE; RANDOMIZED CONTROLLED TRIAL; RISK;

BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; EPIDEMIOLOGIC METHODS; HUMANS; MONTE CARLO METHOD; ODDS RATIO; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 59449111017     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3362     Document Type: Letter

References (6)

1. Austin PC. The performance of different propensity score methods for estimating marginal odds ratios. Statistics in Medicine 2007; 26:3078-3094.
2. Rosenbaum P, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983; 70:41-55.
3. Hernan MA, Robins JM. Estimating causal effects from epidemiological data. Journal of Epidemiology and Community Health 2006; 60:578-586.
4. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Available from: http://www.R-project.org, 2007.
5. Lumley T. Survey: analysis of complex survey samples. R Package, version 3.6-5, 2006.
6. Sturmer T, Rothman KJ, Glynn RJ. Insights into different results from different causal contrasts in the presence of effect-measure modification. Pharmacoepidemiology and Drug Safety 2006; 15:698-709.