Distribution-free mediation analysis for nonlinear models with confounding

Epidemiology

Volumn 23, Issue 6, 2012, Pages 879-888

  Albert, Jeffrey M ^a  

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CAUSAL ATTRIBUTION; CONFOUNDING VARIABLE; DENTAL CARIES; HUMAN; MOUTH HYGIENE; NONLINEAR SYSTEM; PARAMETRIC TEST; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; VERY LOW BIRTH WEIGHT;

CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); MODELS, STATISTICAL; NONLINEAR DYNAMICS;

EID: 84867579648     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0b013e31826c2bb9     Document Type: Article

References (25)

1. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3:143-155.
2. Rubin, DB. Direct and indirect causal effects via potential outcomes. Scan J Stat. 2004;31:161-170.
3. Have TR, Joffe MM, Lynch KG, Brown GK, Maisto SA, Beck AT. Causal mediation analyses with rank preserving models. Biometrics. 2007;63:926-934.
4. Albert JM. Mediation analysis via potential outcomes models. Stat Med. 2008;27:1282-1304.
5. VanderWeele TJ. Marginal structural models for the estimation of direct and indirect effects. Epidemiology. 2009;20:18-26.
6. Imai K, Keele L, Yamamoto T. Identification, inference and sensitivity analysis for causal mediation effects. Stat Sci. 2010;25:51-71.
7. Albert JM, Nelson S. Generalized causal mediation analysis. Biometrics. 2011;67:1028-1038.
8. Huang B, Sivaganesan S, Succop P, Goodman E. Statistical assessment of mediational effects for logistic mediational models. Stat Med. 2004;23:2713-2728.
9. Vanderweele TJ, Vansteelandt S. Odds ratios for mediation analysis for a dichotomous outcome. Am J Epidemiol. 2010;172:1339-1348.
10. Vansteelandt S. Estimating direct effects in cohort and case-control studies. Epidemiology. 2009;20:851-860.
11. Avin C, Shpitser I, Pearl J. Identifiability of path-specific effects. In: International Joint Conference on Artificial Intelligence. 2005;19:357-363.
12. Pearl J. The causal mediation formula - a guide to the assessment of pathways and mechanisms. Prev Sci. 2012;13:426-436.
13. MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychol Methods. 2002;7:83-104.
14. van der Laan MJ, Petersen ML. Direct effect models. The International Journal of Biostatistics. 2001;4, Article 23.
15. Tchetgen Tchetgen EJ, Shpitser I. Semiparametric estimation of models for natural direct and indirect effects. Harvard University Biostatistics Working Paper Series. 2011;Working Paper 129.
16. Tchetgen Tchetgen EJ, Shpitser I. Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness, and sensi- tivity analysis. Harvard University Biostatistics Working Paper Series. 2011;Working Paper 130.
17. Robins JM, Ritov Y. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models. Stat Med. 1997;16:285-319.
18. Sato T, Matsuyama Y. Marginal structural models as a tool for standardization. Epidemiology. 2003;14:680-686.
19. Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007;26:734-753.
20. McCaffrey D F, Ridgeway G, Morral AR. Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychol Methods. 2004;9:403-425.
21. DiCiccio TJ, Efron B. Bootstrap confidence intervals. Stat Sci. 1996;11:189-212.
22. Nelson S, Albert JM, Lombardi G, et al. Dental caries and enamel defects in very low birth weight adolescents. Caries Res. 2010;44:509-518.
23. Singer L, Yamashita T, Lilien L, Collin M, Baley J. A longitudinal study of developmental outcome of infants with bronchopulmonary dysplasia and very low birth weight. Pediatrics. 1997;100:987-993.
24. Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. Diagnosing and responding to violations in the positivity assumption. Stat Methods Med Res. 2012;21:31-54.
25. Crump RK, Hotz VJ, Imbens G W, Mitnik OA. Dealing with limited overlap in estimation of average treatment effects. Biometrika. 2009;96: 187-199.