The SURVEYLOGISTIC Procedure

References

  • Agresti, A. (1984), Analysis of Ordinal Categorical Data, New York: John Wiley & Sons.

  • Agresti, A. (2002), Categorical Data Analysis, 2nd Edition, New York: John Wiley & Sons.

  • Aitchison, J. and Silvey, S. (1957), “The Generalization of Probit Analysis to the Case of Multiple Responses,” Biometrika, 44, 131–140.

  • Albert, A. and Anderson, J. A. (1984), “On the Existence of Maximum Likelihood Estimates in Logistic Regression Models,” Biometrika, 71, 1–10.

  • Ashford, J. R. (1959), “An Approach to the Analysis of Data for Semi-quantal Responses in Biology Response,” Biometrics, 15, 573–581.

  • Binder, D. A. (1981), “On the Variances of Asymptotically Normal Estimators from Complex Surveys,” Survey Methodology, 7, 157–170.

  • Binder, D. A. (1983), “On the Variances of Asymptotically Normal Estimators from Complex Surveys,” International Statistical Review, 51, 279–292.

  • Binder, D. A. and Roberts, G. R. (2003), “Design-Based and Model-Based Methods for Estimating Model Parameters,” in C. Skinner and R. Chambers, eds., Analysis of Survey Data, New York: John Wiley & Sons.

  • Brick, J. M. and Kalton, G. (1996), “Handling Missing Data in Survey Research,” Statistical Methods in Medical Research, 5, 215–238.

  • Cochran, W. G. (1977), Sampling Techniques, 3rd Edition, New York: John Wiley & Sons.

  • Collett, D. (1991), Modelling Binary Data, London: Chapman & Hall.

  • Cox, D. R. and Snell, E. J. (1989), The Analysis of Binary Data, 2nd Edition, London: Chapman & Hall.

  • Dippo, C. S., Fay, R. E., and Morganstein, D. H. (1984), “Computing Variances from Complex Samples with Replicate Weights,” in Proceedings of the Survey Research Methods Section, 489–494, Alexandria, VA: American Statistical Association.

  • Fay, R. E. (1984), “Some Properties of Estimates of Variance Based on Replication Methods,” in Proceedings of the Survey Research Methods Section, 495–500, Alexandria, VA: American Statistical Association.

  • Fay, R. E. (1989), “Theory and Application of Replicate Weighting for Variance Calculations,” in Proceedings of the Survey Research Methods Section, 212–217, Alexandria, VA: American Statistical Association.

  • Freeman, D. H., Jr. (1987), Applied Categorical Data Analysis, New York: Marcel Dekker.

  • Fuller, W. A. (1975), “Regression Analysis for Sample Survey,” Sankhy$\bar{a}$, Series C, 37, 117–132.

  • Fuller, W. A. (2009), Sampling Statistics, Hoboken, NJ: John Wiley & Sons.

  • Hanley, J. A. and McNeil, B. J. (1982), “The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve,” Radiology, 143, 29–36.

  • Hidiroglou, M. A., Fuller, W. A., and Hickman, R. D. (1980), SUPER CARP, Ames: Iowa State University Statistical Laboratory.

  • Hosmer, D. W., Jr. and Lemeshow, S. (2000), Applied Logistic Regression, 2nd Edition, New York: John Wiley & Sons.

  • Judkins, D. R. (1990), “Fay’s Method for Variance Estimation,” Journal of Official Statistics, 6, 223–239.

  • Kalton, G. and Kasprzyk, D. (1986), “The Treatment of Missing Survey Data,” Survey Methodology, 12, 1–16.

  • Kish, L. (1965), Survey Sampling, New York: John Wiley & Sons.

  • Korn, E. L. and Graubard, B. I. (1999), Analysis of Health Surveys, New York: John Wiley & Sons.

  • Lancaster, H. O. (1961), “Significance Tests in Discrete Distributions,” Journal of the American Statistical Association, 56, 223–234.

  • Lehtonen, R. and Pahkinen, E. (1995), Practical Methods for Design and Analysis of Complex Surveys, Chichester, UK: John Wiley & Sons.

  • Littell, R. C., Freund, R. J., and Spector, P. C. (1991), SAS System for Linear Models, 3rd Edition, Cary, NC: SAS Institute Inc.

  • Lohr, S. L. (2010), Sampling: Design and Analysis, 2nd Edition, Boston: Brooks/Cole.

  • Machlin, S., Yu, W., and Zodet, M. (2005), “Computing Standard Errors for MEPS Estimates,” .
    URL http://www.meps.ahrq.gov/mepsweb/survey_comp/standard_errors.jsp

  • McCullagh, P. and Nelder, J. A. (1989), Generalized Linear Models, 2nd Edition, London: Chapman & Hall.

  • McFadden, D. (1974), “Conditional Logit Analysis of Qualitative Choice Behavior,” in P. Zarembka, ed., Frontiers in Econometrics, New York: Academic Press.

  • MEPS (2002), “MEPS HC-038: 1999 Full Year Consolidated Data File,” Accessed July 22, 2011.
    URL http://www.meps.ahrq.gov/mepsweb/data_stats/download_data_files_detail.jsp?cboPufNumber=HC-038

  • MEPS (2006), “MEPS Survey Background,” Accessed July 22, 2011.
    URL http://www.meps.ahrq.gov/mepsweb/about_meps/survey_back.jsp

  • Morel, J. G. (1989), “Logistic Regression under Complex Survey Designs,” Survey Methodology, 15, 203–223.

  • Muller, K. E. and Fetterman, B. A. (2002), Regression and ANOVA: An Integrated Approach Using SAS Software, Cary, NC: SAS Institute Inc.

  • Nagelkerke, N. J. D. (1991), “A Note on a General Definition of the Coefficient of Determination,” Biometrika, 78, 691–692.

  • Nelder, J. A. and Wedderburn, R. W. M. (1972), “Generalized Linear Models,” Journal of the Royal Statistical Society, Series A, 135, 370–384.

  • Rao, J. N. K. and Shao, J. (1996), “On Balanced Half-Sample Variance Estimation in Stratified Random Sampling,” Journal of the American Statistical Association, 91, 343–348.

  • Rao, J. N. K. and Shao, J. (1999), “Modified Balanced Repeated Replication for Complex Survey Data,” Biometrika, 86, 403–415.

  • Rao, J. N. K., Wu, C. F. J., and Yue, K. (1992), “Some Recent Work on Resampling Methods for Complex Surveys,” Survey Methodology, 18, 209–217.

  • Roberts, G., Rao, J. N. K., and Kumar, S. (1987), “Logistic Regression Analysis of Sample Survey Data,” Biometrika, 74, 1–12.

  • Rust, K. (1985), “Variance Estimation for Complex Estimators in Sample Surveys,” Journal of Official Statistics, 1, 381–397.

  • Rust, K. and Kalton, G. (1987), “Strategies for Collapsing Strata for Variance Estimation,” Journal of Official Statistics, 3, 69–81.

  • Santner, T. J. and Duffy, D. E. (1986), “A Note on A. Albert and J. A. Anderson’s Conditions for the Existence of Maximum Likelihood Estimates in Logistic Regression Models,” Biometrika, 73, 755–758.

  • Särndal, C. E., Swensson, B., and Wretman, J. (1992), Model Assisted Survey Sampling, New York: Springer-Verlag.

  • Skinner, C. J., Holt, D., and Smith, T. M. F. (1989), Analysis of Complex Surveys, New York: John Wiley & Sons.

  • Stokes, M. E., Davis, C. S., and Koch, G. G. (2000), Categorical Data Analysis Using the SAS System, 2nd Edition, Cary, NC: SAS Institute Inc.

  • Walker, S. H. and Duncan, D. B. (1967), “Estimation of the Probability of an Event as a Function of Several Independent Variables,” Biometrika, 54, 167–179.

  • Wolter, K. M. (2007), Introduction to Variance Estimation, 2nd Edition, New York: Springer.

  • Woodruff, R. S. (1971), “A Simple Method for Approximating the Variance of a Complicated Estimate,” Journal of the American Statistical Association, 66, 411–414.