The MIANALYZE Procedure
- Overview
- Getting Started
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Syntax
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Details
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ExamplesReading Means and Standard Errors from a DATA= Data SetReading Means and Covariance Matrices from a DATA= COV Data SetReading Regression Results from a DATA= EST Data SetReading Mixed Model Results from PARMS= and COVB= Data SetsReading Generalized Linear Model ResultsReading GLM Results from PARMS= and XPXI= Data SetsReading Logistic Model Results from a PARMS= Data SetReading Mixed Model Results with Classification CovariatesReading Nominal Logistic Model ResultsUsing a TEST statementCombining Correlation CoefficientsSensitivity Analysis with Control-Based Pattern ImputationSensitivity Analysis with the Tipping-Point Approach
- References
References
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Allison, P. D. (2000). “Multiple Imputation for Missing Data: A Cautionary Tale.” Sociological Methods and Research 28:301–309.
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Allison, P. D. (2001). Missing Data. Thousand Oaks, CA: Sage Publications.
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Barnard, J., and Rubin, D. B. (1999). “Small-Sample Degrees of Freedom with Multiple Imputation.” Biometrika 86:948–955.
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Cochran, W. G. (1977). Sampling Techniques. 3rd ed. New York: John Wiley & Sons.
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Gadbury, G. L., Coffey, C. S., and Allison, D. B. (2003). “Modern Statistical Methods for Handling Missing Repeated Measurements in Obesity Trial Data: Beyond LOCF.” Obesity Reviews 4:175–184.
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Horton, N. J., and Lipsitz, S. R. (2001). “Multiple Imputation in Practice: Comparison of Software Packages for Regression Models with Missing Variables.” American Statistician 55:244–254.
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Li, K. H., Raghunathan, T. E., and Rubin, D. B. (1991). “Large-Sample Significance Levels from Multiply Imputed Data Using Moment-Based Statistics and an F Reference Distribution.” Journal of the American Statistical Association 86:1065–1073.
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Little, R. J. A., and Rubin, D. B. (2002). Statistical Analysis with Missing Data. 2nd ed. Hoboken, NJ: John Wiley & Sons.
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Ratitch, B., and O’Kelly, M. (2011). “Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures.” In Proceedings of PharmaSUG 2011 (Pharmaceutical Industry SAS Users Group). Paper SP04. Nashville.
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Rubin, D. B. (1976). “Inference and Missing Data.” Biometrika 63:581–592.
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Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.
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Rubin, D. B. (1996). “Multiple Imputation after 18+ Years.” Journal of the American Statistical Association 91:473–489.
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Schafer, J. L. (1997). Analysis of Incomplete Multivariate Data. New York: Chapman & Hall.