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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).
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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.
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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).
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Reference:
Lachin JM. A review of methods for futility stopping based on conditional
power. Statistics in Medicine, 24, 2747-2764, 2005.
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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.
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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.
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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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