SEARCH

SEARCH BY CITATION

References

  • Austin, P. C., and M. M. Mamdani. 2006. “A Comparison of Propensity Score Methods: A Case-Study Estimating the Effectiveness of Post-AMI Statin Use.” Statistics in Medicine 25: 2084106.
  • Bell, B. A., A. J. Onwuegbuzie, J. M. Ferron, Q. G. Jiao, S. T. Hibbard, and J. D. Kromrey. 2012. “Use of Design Effects and Sample Weights in Complex Health Survey Data: A Review of Published Articles Using Data from Three Commonly Used Adolescent Health Surveys.” American Journal of Public Health 102 (7): 1399405.
  • Cain, L. E., and S. R. Cole. 2009. “Inverse Probability-of-Censoring Weights for the Correction of Time-Varying Noncompliance in the Effect of Randomized Highly Active Antiretroviral Therapy on Incident AIDS or Death.” Statistics in Medicine 28: 172538.
  • Cochran, W. G. 1968. “The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies.” Biometrics 24 (2): 295313.
  • Cole, S. R., M. A. Hernan, J. M. Robins, K. Asastos, J. Chmiel, R. Detels, C. Ervin, J. Feldman, R. Greenblatt, L. Kingsley, S. Lai, M. Young, M. Cohen, and A. Muñoz. 2003. “Effect of Highly Active Antiretroviral Therapy on Time to Acquired Immunodeficiency Syndrome or Death Using Marginal Structural Models.” American Journal of Epidemiology 158 (7): 68794.
  • Cole, S. R., L. P. Jacobson, P. C. Tien, L. Kingsley, J. S. Chmiel, and K. Anastos. 2010. “Using Marginal Structural Measurement-Error Models to Estimate the Long-Term Effect of Antiretroviral Therapy on Incident AIDS or Death.” American Journal of Epidemiology 171: 11322.
  • Cook, B. L., T. G. McGuire, E. Meara, and A. M. Zaslavsky. 2009. “Adjusting for Health Status in Non-Linear Models of Health Care Disparities.” Health Services and Outcomes Research Methodology 9 (1): 121.
  • DiBonaventura, M. D., J. S. Wagner, Y. Yuan, G. L'Italien, P. Langley, and W. Ray Kim. 2010. “Humanistic and Economic Impacts of Hepatitis C Infection in the United States.” Journal of Medical Economics 13 (4): 70918.
  • Ezzati-Rice, T., F. Rohde, and J. Greenblatt. 2008. Sample Design of the Medical Expenditure Panel Survey Household Component, 1998–2007. Methodology Report No. 22. Rockville, MD: Agency for Healthcare Research and Quality.
  • Gelman, A. 2007. “Struggles with Survey Weighting and Regression Modeling.” Statistical Science 22 (2): 15364.
  • Groves, R. M., F. J. Fowler Jr, M. P. Couper, J. M. Lepkowski, E. Singer, and R. Tourangeau. 2004. Survey Methodology. Hoboken, NJ: Wiley.
  • Ho, D. E., K. Imai, G. King, and E. A. Stuart. 2011. “MatchIt: Nonparametric Preprocessing for Parametric Causal Inference.” Journal of Statistical Software 42 (8): 128.
  • Imai, K., G. King, and E. A. Stuart. 2008. “Misunderstandings between Experimentalists and Observationalists about Causal Inference.” Journal of the Royal Statistical Society Series A-Statistics in Society 171: 481502.
  • Korn, E. L., and B. I. Graubard. 1991. “Epidemiologic Studies Utilizing Surveys – Accounting for the Sampling Design.” American Journal of Public Health 81 (9): 116673.
  • Kuo, D. Z., T. M. Bird, and J. M. Tilford. 2011. “Associations of Family-Centered Care with Health Care Outcomes for Children with Special Health Care Needs.” Maternal and Child Health Journal 15 (6): 794805.
  • Lumley, T. 2010. Complex Surveys: A Guide to Analysis Using R (Wiley Series in Survey Methodology). Hoboken, NJ: Wiley.
  • Lunceford, J. K., and M. Davidian. 2004. “Stratification and Weighting via the Propensity Score in Estimation of Causal Treatment Effects: A Comparative Study.” Statistics in Medicine 23 (19): 293760.
  • McCaffrey, D. F., G. Ridgeway, and A. R. Morral. 2004. “Propensity Score Estimation with Boosted Regression for Evaluating Causal Effects in Observational Studies.” Psychological Methods 9: 40325.
  • McCrae, J. S., B. R. Lee, R. P. Barth, and M. E. Rauktis. 2010. “Comparing Three Years of Well-Being Outcomes for Youth in Group Care and Nonkinship Foster Care.” Child Welfare 89 (2): 22949.
  • Pfeffermann, D. 1993. “The Role of Sampling Weights When Modeling Survey Data.” International Statistical Review 61 (2): 31737.
  • Roberts, A. L., S. E. Gilman, G. Fitzmaurice, M. R. Decker, and K. C. Koenen. 2010. “Witness of Intimate Partner Violence in Childhood and Perpetration of Intimate Partner Violence in Adulthood.” Epidemiology 21 (6): 80918.
  • Rosenbaum, P. R., and D. B. Rubin. 1983. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70 (1): 4155.
  • StataCorp. 2011. Stata Statistical Software: Release 12 (Release). College Station, TX: StataCorp LP.
  • Stuart, E. A. 2010. “Matching Methods for Causal Inference: A Review and a Look Forward.” Statistical Science 25 (1): 121.
  • Zanutto, E. L. 2006. “A Comparison of Propensity Score and Linear Regression Analysis of Complex Survey Data.” Journal of Data Science 4: 6791.
  • Zanutto, E., B. Lu, and R. Hornik. 2005. “Using Propensity Score Subclassification for Multiple Treatment Doses to Evaluate a National Antidrug Media Campaign.” Journal of Educational and Behavioral Statistics 30 (1): 5973.