Sensitivity analysis for principal stratum direct effects, with an application to a study of physical activity and coronary heart disease

Biometrics

Volumn 65, Issue 2, 2009, Pages 514-520

  Sjölander, Arvid ^a   Humphreys, Keith ^a   Vansteelandt, Stijn ^b   Bellocco, Rino ^a,c   Palmgren, Juni ^a,d  

^a KAROLINSKA INSTITUTE   (Sweden)

^b GHENT UNIVERSITY   (Belgium)

^c UNIVERSITY OF MILANO BICOCCA   (Italy)

^d STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Direct effect; Potential outcomes; Principal stratification; Sensitivity analysis

Indexed keywords

BIOMETRICS;

CORONARY HEART DISEASE; DIRECT EFFECT; EXPOSURE EFFECTS; LEARN+; PHYSICAL ACTIVITY; POST TREATMENT; POTENTIAL OUTCOMES; PRINCIPAL STRATIFICATION; SELECTION BIAS;

SENSITIVITY ANALYSIS;

CARDIOVASCULAR DISEASE; DISEASE CONTROL; DISEASE TREATMENT; SENSITIVITY ANALYSIS;

ARTICLE; CAUSAL MODELING; CONTROLLED STUDY; ISCHEMIC HEART DISEASE; PHYSICAL ACTIVITY; SENSITIVITY ANALYSIS; STRATIFICATION;

EID: 66949123890     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01108.x     Document Type: Article

References (22)

1. Dempster, A. P., Laird N. M., and Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society, Series B 39, 1 38.
2. Elliot, M. R., Joffe, M. M., and Chen, Z. (2006). A potential outcomes approach to developmental toxicity analyses. Biometrics 62, 352 360. (Pubitemid 43926640)
3. Frangakis, C. E. and Rubin, D. B. (2002). Principal stratification in causal inference. Biometrics 58, 21 29. (Pubitemid 34194484)
4. Frangakis, C. E., Brookmeyer, R. S., Varadhan, R., Safaeian, M., Vlahov, D., and Strathdee, S. A. (2004). Methodology for evaluating a partially controlled longitudinal treatment using principal stratification, with application to a needle exchange program. Journal of the American Statistical Association 99, 239 249. (Pubitemid 38545210)
5. Gilbert, P. B., Bosch, J. B., and Hudgens, M. G. (2003). Sensitivity analysis for the assessment of causal vaccine effects on viral load in HIV vaccine trials. Biometrics 59, 531 541. (Pubitemid 37093392)
6. Hu, G., Tuomilehto, J., Silventoinen, K., Barengo, N., and Jousilahti, P. (2004). Joint effects of physical activity, body mass index, waist circumference and waist-to-hip ratio with the risk of cardiovascular disease among middle-aged Finnish men and women. European Heart Journal 25, 2212 2219. (Pubitemid 39592422)
7. Hudgens, M. G., Hoering, A., and Self, S. G. (2003). On the analysis of viral load endpoints in HIV vaccine trials. Statistics in Medicine 22, 2281 2298. (Pubitemid 36926940)
8. Jemiai, Y. (2005). Semiparametric methods for the effect of treatment on an outcome existing only in a post-randomization selected subpopulation. Ph.D. Thesis, Harvard University, Cambridge, Massachusetts.
9. Jemiai, Y., Rotnitzky, A., Shepherd, B. E., and Gilbert, P. B. (2007). Semiparametric estimation of treatment effects on an outcome measured after a post-randomization event occurs. Journal of the Royal Statistical Society 69, 879 901.
10. Lagerros, Y. T. (2006). Physical activity from the epidemiological perspective - measurement issues and health effects. Ph.D. thesis, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
11. Li, T. Y., Rana, J. S., Manson, J. E., Willet, W. C., Stampfer, M. J., Colditz, G. A., Rexrode, K. M., and Hu, F. B. (2006). Obesity as compared with physical activity in predicting risk of coronary heart disease in women. Circulation 113, 499 506. (Pubitemid 43754350)
12. Mattei, A. and Mealli F. (2006). Application of the principal stratification approach to the Faenza randomized experiment on breast self-examination. Biometrics 63, 437 446.
13. McCullagh, P. and Nelder, J. A. (1989). Generalized Linear Models, 2nd edition. London : Chapman and Hall.
14. Mora, S., Lee, I., Buring, J. E., and Ridker, P. M. (2006). Association of physical activity and body mass index with novel and traditional cardiovascular biomarkers in women. Journal of the American Medical Association 295, 1412 1419.
15. Pearl, J. (2001). Direct and indirect effects. Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, 411 420. San Francisco, CA : Morgan Kaufmann.
16. Robins, J. M. (1997). Causal inference from complex longitudinal data. In Latent Variable Modeling and Applications to Causality, 69 117. New York : Springer Verlag.
17. Robins, J. M., Rotnitzky, A., and Vansteelandt, S. (2007). Discussion of principal stratification designs to estimate input data missing due to death. Biometrics 63, 650 654.
18. Rotnitzky, A., Robins, J. M., and Scharfstein, D. O. (1998). Semiparametric regression for repeated outcomes with nonignorable nonresponse. Journal of the American Statistical Association 93, 1321 1339. (Pubitemid 128385545)
19. Shepherd, B. E., Gilbert, P. B., Jemiai, Y., and Rotnitzky A. (2006). Sensitivity analysis comparing outcomes only existing in a subset selected post-randomization, conditional on covariates, with application to HIV vaccine trials. Biometrics 62, 332 342. (Pubitemid 43926638)
20. Teicher, H. (1963). Identifiability of finite mixtures. Annals of Mathematical Statistics 34, 1265 1269.
21. Vansteelandt, S. and Goetghebeur, E. (2005). Sense and sensitivity when correcting for observed exposures in randomized clinical trials. Statistics in Medicine 24, 191 210. (Pubitemid 40124167)
22. Zhang, J. L. and Rubin, D. B. (2003). Estimation of causal effects via principal stratification when some outcomes are truncated by "death." Journal of Educational and Behavioral Statistics 28, 353 368. (Pubitemid 38390233)