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From
Methods for Analyzing Binary Repeated Measures: The Small Sample Case
Dharmaratne ADVTT, Sooriyarachchi MR
American Journal of Applied Mathematics and Statistics
.
2017
, 5(2), 80-89 doi:10.12691/ajams-5-2-6
Table 1. Multiplicative Small Sample Bias Corrections to the Sandwich Estimator
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Table 2. Probabilities (Pi) Corresponding to Responses
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Table 3. Results from the GEE method of PROC GENMOD with no adjustments (Naive Method)
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Table 4. Comparison of the GEE with varying options of the SVE techniques available in PROC GENMOD in SAS with respect to the properties of the parameter estimates
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Table 5. Results obtained from GLMM method of PROC GLIMMIX (Naive Method)
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Table 6. Results obtained from GLMM method of PROC GLIMMIX (Sandwich- ROOT Method)
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Table 7. Results obtained from GLMM method of PROC GLIMMIX (Sandwich- FIROEEQ Method)
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Table 8. Comparison of the GLMMs with varying options of the SVE techniques available in PROC GLIMMIX in SAS with respect to the properties of the parameter estimates
Full size table and legend