The Clinical Data Interchange Standards Consortium (CDISC) is a globally relevant nonprofit organization that defines standards for handling data in clinical research. It produces a range of standards for clinical data at various stages of maturity. One of the most mature standards is the Study Data Tabulation Model, which provides a standardized yet flexible data structure for storing entire databases from clinical trials. A related standard is the Analysis Dataset Model, which defines datasets that can be used for analyzing data from clinical trials. I shall explain how the CDISC standards work, how Stata can simplify many of the routine tasks encountered in handling CDISC datasets, and the great efficiencies that can result from using da...
A new industry standard for clinical trials data, the CDISC Study Data Tabulation Model (SDTM), has ...
Stata can be used as a companion to relational database programs to compute and serve up statistical...
Standardized do files to facilitate within- and across-country data pooling and analysi
The Clinical Data Interchange Standards Consortium (CDISC) has developed standards for data models, ...
The Clinical Data Interchange Standards Consortium (CDISC) has developed standards for data models, ...
The Clinical Data Interchange Standards Consortium (CDISC) is a non-profit international organizatio...
The CDISC (Clinical Data Interchange Standards Consortium) SDTM is a standard for submitting data ta...
This is a sample study dataset containing CDISC-SDTM formatted data files created originally by CDIS...
Stata is a leading statistical software package in the social sciences. Although not free, it has ma...
Applying CDISC © standards represents one of the major current challenge in the pharmaceutical indus...
Stata is one of the most popular statistical software in the world and suited for all kinds of users...
Implementation of the CDISC SDTM data model is no longer a theoretical academic exercise but is now ...
Clinical Data Interchange Standards Consortium (CDISC) and conect4children (c4c) have announced the ...
`StatAid` is an R package designed to fit the needs of every-day statistical analysis in science. Th...
This article introduces a new Stata command, labcenswdi, to automatically manage databases that prov...
A new industry standard for clinical trials data, the CDISC Study Data Tabulation Model (SDTM), has ...
Stata can be used as a companion to relational database programs to compute and serve up statistical...
Standardized do files to facilitate within- and across-country data pooling and analysi
The Clinical Data Interchange Standards Consortium (CDISC) has developed standards for data models, ...
The Clinical Data Interchange Standards Consortium (CDISC) has developed standards for data models, ...
The Clinical Data Interchange Standards Consortium (CDISC) is a non-profit international organizatio...
The CDISC (Clinical Data Interchange Standards Consortium) SDTM is a standard for submitting data ta...
This is a sample study dataset containing CDISC-SDTM formatted data files created originally by CDIS...
Stata is a leading statistical software package in the social sciences. Although not free, it has ma...
Applying CDISC © standards represents one of the major current challenge in the pharmaceutical indus...
Stata is one of the most popular statistical software in the world and suited for all kinds of users...
Implementation of the CDISC SDTM data model is no longer a theoretical academic exercise but is now ...
Clinical Data Interchange Standards Consortium (CDISC) and conect4children (c4c) have announced the ...
`StatAid` is an R package designed to fit the needs of every-day statistical analysis in science. Th...
This article introduces a new Stata command, labcenswdi, to automatically manage databases that prov...
A new industry standard for clinical trials data, the CDISC Study Data Tabulation Model (SDTM), has ...
Stata can be used as a companion to relational database programs to compute and serve up statistical...
Standardized do files to facilitate within- and across-country data pooling and analysi