The SURVEYFREQ Procedure

References

  • Agresti, A. (2007). An Introduction to Categorical Data Analysis. 2nd ed. New York: John Wiley & Sons.

  • Agresti, A. (2013). Categorical Data Analysis. 3rd ed. Hoboken, NJ: John Wiley & Sons.

  • Agresti, A., and Coull, B. A. (1998). “Approximate Is Better Than 'Exact' for Interval Estimation of Binomial Proportions.” American Statistician 52:119–126.

  • Bedrick, E. J. (1983). “Adjusted Chi-Squared Tests for Cross-classified Tables of Survey Data.” Biometrika 70:591–596.

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

  • Brown, L. D., Cai, T. T., and DasGupta, A. (2001). “Interval Estimation for a Binomial Proportion.” Statistical Science 16:101–133.

  • Cicchetti, D. V., and Allison, T. (1971). “A New Procedure for Assessing Reliability of Scoring EEG Sleep Recordings.” American Journal of EEG Technology 11:101–109.

  • Clopper, C. J., and Pearson, E. S. (1934). “The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial.” Biometrika 26:404–413.

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

  • Cohen, J. (1960). “A Coefficient of Agreement for Nominal Scales.” Educational and Psychological Measurement 20:37–46.

  • Curtin, L. R., Kruszon-Moran, D., Carroll, M., and Li, X. (2006). “Estimation and Analytic Issues for Rare Events in NHANES.” In Proceedings of the Survey Research Methods Section, 2893–2903. Alexandria, VA: American Statistical Association.

  • 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. (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.

  • Fellegi, I. P. (1980). “Approximate Tests of Independence and Goodness of Fit Based on Stratified Multistage Samples.” Journal of the American Statistical Association 75:261–268.

  • Fienberg, S. E. (1980). The Analysis of Cross-classified Categorical Data. 2nd ed. Cambridge, MA: MIT Press.

  • Fleiss, J. L. (1981). Statistical Methods for Rates and Proportions. 2nd ed. New York: John Wiley & Sons.

  • Fleiss, J. L., and Cohen, J. (1973). “The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability.” Educational and Psychological Measurement 33:613–619.

  • Fleiss, J. L., Cohen, J., and Everitt, B. S. (1969). “Large-Sample Standard Errors of Kappa and Weighted Kappa.” Psychological Bulletin 72:323–327.

  • Fleiss, J. L., Levin, B., and Paik, M. C. (2003). Statistical Methods for Rates and Proportions. 3rd ed. Hoboken, NJ: John Wiley & Sons.

  • Friendly, M. (2000). Visualizing Categorical Data. Cary, NC: SAS Institute Inc.

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

  • Fuller, W. A., Kennedy, W. J., Schnell, D., Sullivan, G., and Park, H. J. (1989). PC CARP. Ames: Iowa State University Statistical Laboratory.

  • Hansen, M. H., Hurwitz, W. N., and Madow, W. G. (1953). Sample Survey Methods and Theory. 2 vols. New York: John Wiley & Sons.

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

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

  • Kalton, G. (1983). Introduction to Survey Sampling. Vol. 07-035 of University Paper Series on Quantitative Applications in the Social Sciences. Beverly Hills, CA: Sage Publications.

  • 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.

  • Koch, G. G., Freeman, D. H., and Freeman, J. L. (1975). “Strategies in the Multivariate Analysis of Data from Complex Surveys.” International Statistical Review 43:59–78.

  • Koch, G. G., Landis, J. R., Freeman, J. L., Freeman, D. H., and Lehnen, R. G. (1977). “A General Methodology for the Analysis of Experiments with Repeated Measurement of Categorical Data.” Biometrics 33:133–158.

  • Korn, E. L., and Graubard, B. I. (1990). “Simultaneous Testing with Complex Survey Data: Use of Bonferroni t-Statistics.” American Statistician 44:270–276.

  • Korn, E. L., and Graubard, B. I. (1998). “Confidence Intervals for Proportions with Small Expected Number of Positive Counts Estimated from Survey Data.” Survey Methodology 24:193–201.

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

  • Lee, E. S., Forthofer, R. N., and Lorimor, R. J. (1989). Analyzing Complex Survey Data. Vol. 07-071 of Sage University Paper Series on Quantitative Applications in the Social Sciences. Beverly Hills, CA: Sage Publications.

  • Leemis, L. M., and Trivedi, K. S. (1996). “A Comparison of Approximate Interval Estimators for the Bernoulli Parameter.” American Statistician 50:63–68.

  • Levy, P. S., and Lemeshow, S. (1999). Sampling of Populations: Methods and Applications. 3rd ed. New York: John Wiley & Sons.

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

  • Nathan, G. (1975). “Tests for Independence in Contingency Tables from Stratified Samples.” Sankhy$\bar{a}$, Series C 37:77–87.

  • Newcombe, R. G. (1998). “Two-Sided Confidence Intervals for the Single Proportion: Comparison of Seven Methods.” Statistics in Medicine 17:857–872.

  • Rao, J. N. K., and Scott, A. J. (1979). “Chi-Squared Tests for Analysis of Categorical Data from Complex Surveys.” In Proceedings of the Survey Research Methods Section, 58–66. Washington, DC: American Statistical Association.

  • Rao, J. N. K., and Scott, A. J. (1981). “The Analysis of Categorical Data from Complex Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables.” Journal of the American Statistical Association 76:221–230.

  • Rao, J. N. K., and Scott, A. J. (1984). “On Chi-Squared Tests for Multiway Contingency Tables with Cell Properties Estimated from Survey Data.” Annals of Statistics 12:46–60.

  • Rao, J. N. K., and Scott, A. J. (1987). “On Simple Adjustments to Chi-Square Tests with Survey Data.” Annals of Statistics 15:385–397.

  • 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., and Thomas, D. R. (1989). “Chi-Squared Tests for Contingency Tables.” In Analysis of Complex Surveys, edited by C. J. Skinner, D. Holt, and T. M. F. Smith, 89–114. New York: John Wiley & Sons.

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

  • Satterthwaite, F. E. (1946). “An Approximate Distribution of Estimates of Variance Components.” Biometrics Bulletin 2:110–114.

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

  • Sukasih, A., and Jang, D. (2005). “An Application of Confidence Interval Methods for Small Proportions in the Health Care Survey of DoD Beneficiaries.” In Proceedings of the Survey Research Methods Section, 3608–3612. Alexandria, VA: American Statistical Association.

  • Thomas, D. R., and Rao, J. N. K. (1984). “A Monte Carlo Study of Exact Levels of Goodness-of-Fit Statistics under Cluster Sampling.” In Proceedings of the Survey Research Methods Section, 207–211. Alexandria, VA: American Statistical Association.

  • Thomas, D. R., and Rao, J. N. K. (1985). “On the Power of Some Goodness-of-Fit Tests under Cluster Sampling.” In Proceedings of the Survey Research Methods Section, 291–296. Alexandria, VA: American Statistical Association.

  • Thomas, D. R., and Rao, J. N. K. (1987). “Small-Sample Comparisons of Level and Power for Simple Goodness-of-Fit Statistics under Cluster Sampling.” Journal of the American Statistical Association 82:630–636.

  • Thomas, D. R., Singh, A. C., and Roberts, G. R. (1996). “Tests of Independence on Two-Way Tables under Cluster Sampling: An Evaluation.” International Statistical Review 64:295–311.

  • Wald, A. (1943). “Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations Is Large.” Transactions of the American Mathematical Society 54:426–482.

  • Wilson, E. B. (1927). “Probable Inference, the Law of Succession, and Statistical Inference.” Journal of the American Statistical Association 22:209–212.

  • Wolter, K. M. (1985). Introduction to Variance Estimation. New York: Springer-Verlag.

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