Invited commentary: Pushing the mediation envelope

American Journal of Epidemiology

Volumn 172, Issue 12, 2010, Pages 1352-1354

  Have, Thomas Ten ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Collapsibility; Confounding; Epidemiologic methods; Log linear models; Logistic regression; Standardization

Indexed keywords

EPIDEMIOLOGY; MATHEMATICAL THEORY; NUMERICAL MODEL; REGRESSION ANALYSIS; STANDARDIZATION; TEMPORAL ANALYSIS;

BIOSTATISTICS; EPIDEMIOLOGICAL DATA; EXPOSURE; LOGLINEAR MODEL; METHODOLOGY; OUTCOME ASSESSMENT; PHYSICIAN; REVIEW; STANDARDIZATION; STATISTICAL MODEL; CASE CONTROL STUDY; EPIDEMIOLOGY; HUMAN; NOTE; REPRODUCIBILITY; RISK;

CASE-CONTROL STUDIES; CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); HUMANS; LINEAR MODELS; LOGISTIC MODELS; ODDS RATIO; REPRODUCIBILITY OF RESULTS;

EID: 79952117988     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq328     Document Type: Review

References (10)

1. VanderWeele TJ, Vansteelandt S. Odds ratios for mediation analysis for a dichotomous outcome. Am J Epidemiol. 2010;172(12):1339-1348
2. VanderWeele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition. Stat Interface. 2009;2:457-468
3. Huang B, Sivaganesan S, Succop P, et al. Statistical assessment of mediational effects for logistic mediational models. Stat Med. 2004;23(17):2713-2728
4. Janes H, Dominici F, Zeger S. On quantifying the magnitude of confounding. Biostatistics. 2010;11(3):572-582
5. Rothman K, Greenland S. Modern Epidemiology. 2nd ed. Philadelphia, PA: Lippencott-Raven; 1998
6. Gail M,Wieand S, Piantadosi S. Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates. Biometrika. 1984;71(3):431-444
7. Robins J, Rotnitzky A. Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models. Biometrika. 2004;91(4): 763-783
8. Vansteelandt S, Goetghebeur E. Causal inference with generalized structural mean models. J R Stat Soc Series B Stat Methodol. 2003;65(part 4):817-835
9. Zeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988;44(4):1049-1060
10. Kraemer HC, Wilson GT, Fairburn CG, et al. Mediators and moderators of treatment effects in randomized clinical trials. Arch Gen Psychiatry. 2002;59(10):877-883