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This section contains models in the area of Surrogate Markers.
For software in other areas, go to the general overview of software.


For Surrogate Markers, the following software is available:

• Validation of a failure-time surrogate for a failure-time true endpoint
• Validation of a categorical surrogate for a failure-time true endpoint
• Program to compute R2 adjusted for estimation error when validating a surrogate
• Validation of continuous [Gaussian] surrogate for a continuous [Gaussian] true endpoint using SAS and R
• Information-theory based surrogate marker evaluation from several randomized clinical trials with binary endpoints, using SAS
• O'quigley macro

VALIDATION OF A FAILURE-TIME SURROGATE FOR A FAILURE-TIME TRUE ENDPOINT
Program:	Version:	Software:	Version:	Last updated:
Prepared by:
Description:	as described in "Validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints", Applied Statistics, 50, p. 405-422 (2001). - claytad8: fits a Clayton model - hougtad8: fits a Hougaard model - plactad8withtau: fits a Plackett copula model
download (size 22KB)
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VALIDATION OF A CATEGORICAL SURROGATE FOR A FAILURE-TIME TRUE ENDPOINT
Program:	Version:	Software:	Version:	Last updated:
Prepared by:
Description:	as described in "The validation of surrogate endpoints by using data from randomized clinical trials: a case-study in advanced colorectal cancer", Journal of the Royal Statistical Society A, 167, p. 103-124 (2004). - ressurCb: fits a Plackett copula model
download (size 9KB)
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PROGRAM TO COMPUTE R2 ADJUSTED FOR ESTIMATION ERROR WHEN VALIDATING A SURROGATE
Program:	Version:	Software:	Version:	Last updated:
Prepared by:
Description:
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VALIDATION OF CONTINUOUS [GAUSSIAN] SURROGATE FOR A CONTINUOUS [GAUSSIAN] TRUE ENDPOINT USING SAS AND R
Program:	Version:	Software:	Version:	Last updated:
Prepared by:
Description:	as described in Burzykowski, T., Molenberghs, G., and Buyse, M. (2005). The Evaluation of Surrogate Endpoints. New York: Springer. - Surconcon.sas: evaluates surrogate endpoints using both Simplified Modeling Strategy and hierarchical bivariate models using SAS - Unis Function …: evaluates surrogate endpoints using Simplified Modeling Strategy with R/SPLUS. (Consult Unis Help.R for instructions on how to use these functions) - Bivs Function …: evaluates surrogate endpoints using hierarchical bivariate models with R/SPLUS. (Consult Bivs Help.R for instructions on how to use these functions) - dat1.txt: Is a sample dataset. The examples illustrating the use of the R functions are based on this dataset.
download (size 34KB)
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INFORMATION-THEORY BASED SURROGATE MARKER EVALUATION FROM SEVERAL RANDOMIZED CLINICAL TRIALS WITH BINARY ENDPOINTS, USING SAS
Program:	Version:	Software: SAS	Version:	Last updated:
Prepared by:	Abel Tilahun
Description:
download (size 168KB)
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O'QUIGLEY MACRO
Program:	Version:	Software: SAS	Version:	Last updated:
Prepared by:	Abel Tilahun
Description:
download (size 56KB)
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