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Full-Text Articles in Statistics and Probability
Mcd - Stata Commands, Joseph M. Hilbe
Mcd - Stata Commands, Joseph M. Hilbe
Joseph M Hilbe
Stata commands and affiliated files for examples in book. Text file explanation of command names is included. 103 files in total
Mcd - 11 R Data Files From Book, Joseph M. Hilbe
Mcd - 11 R Data Files From Book, Joseph M. Hilbe
Joseph M Hilbe
Modeling Count Data: ZIP file with 11 R data files from book
Mcd - 11 Stata Data Files, Joseph M. Hilbe
Mcd - 11 Stata Data Files, Joseph M. Hilbe
Joseph M Hilbe
Modeling Count Data: 11 Stata files from book
Hilbe-Mcd-Cvs-Data, Joseph M. Hilbe
Hilbe-Mcd-Cvs-Data, Joseph M. Hilbe
Joseph M Hilbe
Modeling Count Data, data files from book in CVS format
Mcd-Data-Sas, Joseph M. Hilbe
Mcd-Data-Sas, Joseph M. Hilbe
Joseph M Hilbe
Modeling Count Data, 11 SAS data files. SAS users
Sas Macro: Testing Marginal Homogeneity In Clustered Matched-Pair Data, Zhao Yang
Sas Macro: Testing Marginal Homogeneity In Clustered Matched-Pair Data, Zhao Yang
Zhao (Tony) Yang, Ph.D.
The SAS Macro and simulated data example are used to demonstrate the application of tests for marginal homogeneity in clustered matched-pair data.
Sas Macro: Weighted Kappa Statistic For Clustered Matched-Pair Ordinal Data, Zhao Yang
Sas Macro: Weighted Kappa Statistic For Clustered Matched-Pair Ordinal Data, Zhao Yang
Zhao (Tony) Yang, Ph.D.
This SAS macro calculate the weighted kappa statistic and its corresponding non-parametric variance estimator for the clustered matched-pair ordinal data.
Sas Macro: Kappa Statistic For Clustered Physician-Patients Polytomous Data, Zhao Yang
Sas Macro: Kappa Statistic For Clustered Physician-Patients Polytomous Data, Zhao Yang
Zhao (Tony) Yang, Ph.D.
This SAS macro calculate the kappa statistic and its semi-parametric variance estimator for the clustered physician-patients polytomous data. The proposed method depends on the assumption of conditional independence for the clustered physician-patients data structure.
Sas Macro: Kappa Statistic For Clustered Matched-Pair Data, Zhao Yang
Sas Macro: Kappa Statistic For Clustered Matched-Pair Data, Zhao Yang
Zhao (Tony) Yang, Ph.D.
The SAS macro was developed to calculate the kappa statistic for the clustered matched-pair data.
R Code: A Non-Iterative Implementation Of Tango's Score Confidence Interval For A Paired Difference Of Proportions, Zhao Yang
Zhao (Tony) Yang, Ph.D.
For matched-pair binary data, a variety of approaches have been proposed for the construction of a confidence interval (CI) for the difference of marginal probabilities between two procedures. The score-based approximate CI has been shown to outperform other asymptotic CIs. Tango’s method provides a score CI by inverting a score test statistic using an iterative procedure. In the developed R code, we propose an efficient non-iterative method with closed-form expression to calculate Tango’s CIs. Examples illustrate the practical application of the new approach.