Software

This page contains software and related materials for various methods development projects that I have been involved in. The Spatial Software section contains R code for the Cumulative Geographic Residual Tests for different outcome types. There is also a lab that was created for a spatial statistics course covering the Cumulative Geographic Residual Method and Spatial Scan Statistic for binary outcomes. For further information about the Cumulative Residual Method please see uploaded Presentations.

The post-marketing safety surveillance section contains both R and SAS code for implementing the GSEE and CSSP methods.

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SPATIAL SOFTWARE:
Unconditional Cumulative Geographic Residual
Independent Binary Outcomes

Conditional Cumulative Geographic Residual
Matched/Dependent Binary Outcomes

Weighted Cumulative Geographic Residual
For all Outcome Types: Both Area-level and Individual level Covariate Adjustment

Repeated Measured Cumulative Geographic Residual
Repeated Measured Outcomes using GEE framework with Covariate Adustment

LAB/Tutorial:
Lab
Lab that covers how to run the Cumulative Geographic Residual Method and Spatial Scan Statistic for binary outcomes
Datasets
Datasets for the Lab

POST-MARKETING SAFETY SURVEILLANCE SOFTWARE:

FDA Mini-Sentinel Sequential Testing Working Group Report, May 12,2011.

GSEE Method for R
R code for implementing Group Sequential Estimating Equations

GSEE Method for SAS
SAS code for implementing Group Sequential Estimating Equations

CSSP Code for R
R code for implementing the Conditional Sequential Sampling Procedure

CSSP Code for SAS
SAS code for implementing the Conditional Sequential Sampling Procedure

FDA Mini-Sentinel Statistical Methods for estimating Causal Risk Differences in Postmarket Studies with Distributed Data.

Example code
R code for estimating causal risk difference in postmarket safety studies. Requires the following source files:
Data generation
Functions

Software This page contains software and related materials for various methods development projects that I have been involved in. The Spatial Software section contains R code for the Cumulative Geographic Residual Tests for different outcome types. There is also a lab that was created for a spatial statistics course covering the Cumulative Geographic Residual Method and Spatial Scan Statistic for binary outcomes. For further information about the Cumulative Residual Method please see uploaded Presentations. The post-marketing safety surveillance section contains both R and SAS code for implementing the GSEE and CSSP methods. Return to Homepage

	SPATIAL SOFTWARE: Unconditional Cumulative Geographic Residual Independent Binary Outcomes Conditional Cumulative Geographic Residual Matched/Dependent Binary Outcomes Weighted Cumulative Geographic Residual For all Outcome Types: Both Area-level and Individual level Covariate Adjustment Repeated Measured Cumulative Geographic Residual Repeated Measured Outcomes using GEE framework with Covariate Adustment LAB/Tutorial: Lab Lab that covers how to run the Cumulative Geographic Residual Method and Spatial Scan Statistic for binary outcomes Datasets Datasets for the Lab POST-MARKETING SAFETY SURVEILLANCE SOFTWARE: FDA Mini-Sentinel Sequential Testing Working Group Report, May 12,2011. GSEE Method for R R code for implementing Group Sequential Estimating Equations GSEE Method for SAS SAS code for implementing Group Sequential Estimating Equations CSSP Code for R R code for implementing the Conditional Sequential Sampling Procedure CSSP Code for SAS SAS code for implementing the Conditional Sequential Sampling Procedure FDA Mini-Sentinel Statistical Methods for estimating Causal Risk Differences in Postmarket Studies with Distributed Data. Example code R code for estimating causal risk difference in postmarket safety studies. Requires the following source files: Data generation Functions
Send mail to: acook@u.washington.edu Last modified: 6/19/2009 2:58 PM