The positivity assumption and marginal structural models: The example of warfarin use and risk of bleeding

European Journal of Epidemiology

Volumn 27, Issue 2, 2012, Pages 77-83

  Platt, Robert William ^a,b   Delaney, Joseph Austin Christopher ^c   Suissa, Samy ^a,d  

^a MCGILL UNIVERSITY   (Canada)

^b RESEARCH INSTITUTE OF THE MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

^c UNIVERSITY OF FLORIDA HEALTH   (United States)

^d MCGILL UNIVERSITY   (Canada)

Author keywords

Bias; Causal modeling; Inverse probability weighting; Positivity assumption; Warfarin

Indexed keywords

WARFARIN;

ADULT; AGED; ARTICLE; CASE CONTROL STUDY; CONTROLLED STUDY; DISEASE ASSOCIATION; DRUG USE; FEMALE; GASTROINTESTINAL HEMORRHAGE; HUMAN; INVERSE PROBABILITY OF TREATMENT WEIGHTING; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PRESCRIPTION; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL;

ADULT; AGED; ANTICOAGULANTS; CASE-CONTROL STUDIES; DATABASES, FACTUAL; FEMALE; GENERAL PRACTICE; GREAT BRITAIN; HEMORRHAGE; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; RISK ASSESSMENT; WARFARIN;

EID: 84860310760     PISSN: 03932990     EISSN: 15737284     Source Type: Journal    
DOI: 10.1007/s10654-011-9637-7     Document Type: Article

References (26)

1. Robins JM, Hernan MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550-60. (Pubitemid 30660034)
2. Hernan MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5):561-70. (Pubitemid 30660035)
3. Lefebvre G, Delaney JA, Platt RW. Impact of mis-specification of the treatment model on estimates from a marginal structural model. Stat Med. 2008;27(18):3629-42.
4. Cole SR, Hernan MA, Robins JM, Anastos K, Chmiel J, Detels R, Ervin C, Feldman J, Greenblatt R, Kingsley L, Lai S, Young M, Cohen M, Munoz A. Effect of highly active antiretroviral therapy on time to acquired immunodeficiency syndrome or death using marginal structural models. Am J Epidemiol. 2003;158(7): 687-94. (Pubitemid 37175517)
5. Cole SR, Hernán MA. Constructing inverse probability weights for marginal structural models. Am J Epidemiol. 2008;168(6): 656-64.
6. Mortimer KM, Neugebauer R, van der Laan M, Tager IB. An application of model-fitting procedures for marginal structural models. Am J Epidemiol. 2005;162(4):382-8. (Pubitemid 41389720)
7. Westreich D, Cole SR. Invited commentary: positivity in practice. Am J Epidemiol. 2010;171(6):674-7.
8. Hernán MA, Hernández-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615-25. (Pubitemid 40416916)
9. Robins JM, Wang N. Inference for imputation estimators. Biometrika. 2000;87(1):113-24.
10. Kang JD, Schafer JL. Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data. Stat Sci. 2007;22(4):523-39.
11. Robins JM, Sued M, Lei-Gomez Q, Rotnitzky A. Performance of double-robust estimators when 'inverse probability' weights are highly variable. Stat Sci. 2007;22(4):544-59.
12. Kurth T, Walker AM, Glynn RJ, Chan KA, Gaziano JM, Berger K, Robins JM. Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect. Am J Epidemiol. 2006;163(3):262-70. (Pubitemid 43145754)
13. Messer LC, Oakes JM, Mason S. Effects of socioeconomic and racial residential segregation on preterm birth: a cautionary tale of structural confounding. Am J Epidemiol. 2010;171(6):664-73.
14. Imai K, King G, Stuart EA. Misunderstandings between experimentalists and observationalists about causal inference. J R Statist Soc A. 2008;171:481-502.
15. Delaney JA, Opatrny L, Brophy JM, Suissa S. Drug-drug interactions between antithrombotic medications and the risk of gastrointestinal bleeding. CMAJ. 2007;177(4):347-51. (Pubitemid 47339530)
16. Kish L. Weighting for unequal Pi. J Off Stat. 1992;8(2):183-200.
17. Delaney JA, Moodie EE, Suissa S. Modeling blood pressures changes after drug treatment in the General Practice Research Database. Pharmacoepidemiol Drug Saf. 2008;17(6):535-45. (Pubitemid 351982759)
18. Marston L, Carpenter JR, Walters KR, Morris RW, Nazareth I, Petersen I. Issues in multiple imputation of missing data for large general practice clinical databases. Pharmacoepidemiol Drug Saf. 2010. doi:10.1002/pds.1934 (Epub ahead of print).
19. Miettinen OS. Estimability and estimation in case-referent studies. Am J Epidemiol. 1976;103(2):226-35.
20. Newman SC. Causal analysis of case-control data. Epidemiol Perspect Innov. 2006;3:2.
21. Månsson R, Joffe MM, Sun W, Hennessy S. On the estimation and use of propensity scores in case - control and case - cohort studies. Am J Epidemiol. 2007;166(3):332-9. (Pubitemid 47216807)
22. Robins JM. Comment on "Choice as an alternative to control in observational studies" by Paul Rosenbaum. Stat Sci. 1999;14: 281-93.
23. Lip GY, Edwards SJ. Stroke prevention with aspirin, warfarin and ximelagatran in patients with non-valvular atrial fibrillation: a systematic review and meta-analysis. Thromb Res. 2006;118(3): 321-33. (Pubitemid 44067199)
24. Filion KB, Delaney JA, Brophy JM, Ernst P, Suissa S. The impact of over-the-counter simvastatin on the number of statin prescriptions in the United Kingdom: a view from the General Practice Research Database. Pharmacoepidemiol Drug Saf. 2007;16(1):1-4. (Pubitemid 46164969)
25. Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;158:915-20. (Pubitemid 37323253)
26. Delaney JA, Platt RW, Suissa S. The impact of unmeasured baseline effect modification on a marginal structural logistic model: a Monte Carlo study. Eur J Epidemiol. 2009;24:343-9.