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his page contains links to statistical programs for implementation of methods developed by the Biostatistics Center faculty and staff. All such programs are copyrighted by the authors. The authors do not guarantee the accuracy of the methods or the programs. These programs are free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License or any later version. This software is provided "AS IS" without warranty of any kind. The entire risk as to the quality and performance of the software is with you. Please see the GNU GPL license for details.
  • Wei and Lachin Multivariate Rank Analysis. Multivariate Rank Analysis. This is a SAS macro to implement the original Wei and Lachin (1984) multivariate rank test, and the Thall and Lachin (1988) multivariate Mann-Whitney analysis. The macro also provides a number of different test statistics as described in Lachin (1992). Download

    References:
    Wei LJ and Lachin JM.  Two-sample asymptotically distribution-free tests for incomplete multivariate observations. Journal of the American Statistical Association, 1984, 79, 653-661.

    Thall PF and Lachin JM.  Analysis of recurrent events: Nonparametric methods for random interval count data. Journal of  the American Statistical Association, 1988, 83, 339-347. 

    Lachin JM.  Some large sample distribution-free estimators and tests for multivariate partially incomplete data from two populations.  Statistics in Medicine, 11, 1151-1170, 1992.
     
  • Futility Assessment Based on Conditional Power. These are SAS programs to compute the properties of a futility assessment based on a conditional power computation as described in Lachin (2005). Download

    Reference:
    Lachin JM. A review of methods for futility stopping based on conditional power. Statistics in Medicine, 24, 2747-2764, 2005.
     
  • Parametric Survival Models For Interval Censored Data With Time-Dependent Covariates. This SAS program fits parametric regression model to interval censored event-time data with allowance for time-dependent covariates. The SAS macro and documentation are provided. Download

    Reference:
    Sparling YH, Younes N, Lachin JM, and Bautista OM. Parametric survival models for interval-censored data with time-dependent covariates. Biostatistics 7, 599-614, 2006.
     
  • Robust Estimating Equations (REE). This SAS Macro implements robust estimating equations for analyzing longitudinal data based on the methods developed by Hu and Lachin (2001). It includes GEE as a special option. The Levenberg-Marquardt algorithm has been used to improve convergence rates. This macro employs the same platform as the GEE macro developed by Ulrike Groemping (1993). The SAS macro and documentation are provided. Download

    Reference:
    Hu M and Lachin JM. Application of robust estimating equations to the analysis of quantitative longitudinal data, Statistics in Medicine, 20, 411-3428, 2001.
     
 

 

 

 

 

 

 

 

 

 

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