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SAS Clinical Online Training Course Content:
Clinical Trials Process
Describe the clinical research process (phases, key roles, key organizations). Interpret a Statistical Analysis Plan.
Derive programming requirements from an SAP and an annotated Case Report Form.
Describe regulatory requirements (principles of 21 CFR Part 11, International Conferenceon
Harmonization, Good Clinical Practices).
Describe the clinical research process (phases, key roles, key organizations). Interpret a Statistical Analysis Plan.
Derive programming requirements from an SAP and an annotated Case Report Form.
Describe regulatory requirements (principles of 21 CFR Part 11, International Conferenceon
Harmonization, Good Clinical Practices).
Clinical Trials Data Structures
Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.). Identify key CDISC principals and terms.
Describe the structure and purpose of the CDISC SDTM data model. Describe the structure and purpose of the CDISC ADaM data model. Describe the contents and purpose of define.xml.
Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.). Identify key CDISC principals and terms.
Describe the structure and purpose of the CDISC SDTM data model. Describe the structure and purpose of the CDISC ADaM data model. Describe the contents and purpose of define.xml.
Import and Export Clinical Trials Data
Apply regulatory requirements to exported SAS data sets (SAS V5 requirements).
Apply regulatory requirements to exported SAS data sets (SAS V5 requirements).
Manage Clinical Trials Data
Access DICTIONARY Tables using the SQL procedure.
Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc).
Access DICTIONARY Tables using the SQL procedure.
Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc).
Transform Clinical Trials Data
Apply categorization and windowing techniques to clinical trials data. Transpose SAS data sets.
Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF). Calculate ‘change from
Apply categorization and windowing techniques to clinical trials data. Transpose SAS data sets.
Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF). Calculate ‘change from
baseline’ results.
Obtain counts of events in clinical trials.
Obtain counts of events in clinical trials.
Apply Statistical Procedures for Clinical Trials
Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
Use PROC FREQ to obtain p-values for categorical data (2×2 and NxP test for association).
Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests). Create output data sets from statistical procedures.
Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY).
Use PROC FREQ to obtain p-values for categorical data (2×2 and NxP test for association).
Use PROC TTEST to obtain p-values for continuous data (one-sample, paired and two-sample t-tests). Create output data sets from statistical procedures.
Macro Programming for Clinical Trials
Create and use user-defined and automatic macro variables. Automate programs by defining and calling macros.
Use system options to debug macros and display values of macro variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN).
Create and use user-defined and automatic macro variables. Automate programs by defining and calling macros.
Use system options to debug macros and display values of macro variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN).
Report Clinical Trials Results
Use PROC REPORT to produce tables and listings for clinical trials reports.
Use ODS and global statements to produce and augment clinical trials reports
Use PROC REPORT to produce tables and listings for clinical trials reports.
Use ODS and global statements to produce and augment clinical trials reports
Validate Clinical Trial Data Reporting
Explain the principles of programming validation in the clinical trial industry. Utilize the log file to validate clinical trial data reporting.
Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL). Identify and Resolve data, syntax and logic errors
Explain the principles of programming validation in the clinical trial industry. Utilize the log file to validate clinical trial data reporting.
Use programming techniques to validate clinical trial data reporting (PROC COMPARE, MSGLEVEL). Identify and Resolve data, syntax and logic errors
