SAS Clinical Online Training
SAS is the accepted business standard for clinical information investigation and reporting in the life sciences/pharmaceutical industry. This course will give the ability for the applicant how to apply SAS programming aptitudes to clinical trials information.
Length: 15-20 hours
Course Content:
Clinical Trials Process
Portray the clinical examination process (stages, key parts, key associations).
Decipher a Statistical Analysis Plan.
Get programming necessities from a SAP and an explained Case Report Form.
Portray administrative prerequisites (standards of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices).
Clinical Trials Data Structures
Distinguish the classes of clinical trials information (demographic, lab, benchmark, attendant medicine, and so forth.).
Distinguish key CDISC principals and terms.
Depict the structure and reason for the CDISC SDTM information model.
Depict the structure and reason for the CDISC ADaM information model.
Depict the substance and reason for define.xml.
Import and Export Clinical Trials Data
Apply administrative prerequisites to traded SAS information sets (SAS V5 necessities).
Oversee Clinical Trials Data
Access DICTIONARY Tables utilizing the SQL system.
Inspect and investigate clinical trials info information (discover anomalies, missing versus zero qualities, and so on).
Change Clinical Trials Data
Apply arrangement and windowing strategies to clinical trials information.
Transpose SAS information sets.
Apply 'perception convey forward' systems to clinical trials information (LOCF, BOCF, WOCF).
Ascertain 'change from benchmark' results.
Get include of occasions clinical trials.
Apply Statistical Procedures for Clinical Trials
Use SAS techniques to get elucidating measurements for clinical trials information (FREQ, UNIVARIATE, MEANS, SUMMARY).
Use PROC FREQ to get p-values for all out information (2×2 and NxP test for affiliation).
Use PROC TTEST to get p-values for consistent information (one-specimen, combined and two-example t-tests).
Make yield information sets from measurable methods.
Large scale Programming for Clinical Trials
Make and utilize client characterized and programmed large scale variables.
Computerize programs by characterizing and calling macros.
Use framework alternatives to troubleshoot macros and showcase estimations of large scale variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN).
Report Clinical Trials Results
Use PROC REPORT to deliver tables and postings for clinical trials reports.
Use ODS and worldwide proclamations to create and enlarge clinical trials reports.
Approve Clinical Trial Data Reporting
Clarify the standards of programming approval in the clinical trial industry.
Use the log record to accept clinical trial information reporting.
Use programming methods to approve clinical trial information reporting (PROC COMPARE, MSGLEVEL).
Distinguish and Resolve information, linguistic structure and rationale mistakes.
SAS is the accepted business standard for clinical information investigation and reporting in the life sciences/pharmaceutical industry. This course will give the ability for the applicant how to apply SAS programming aptitudes to clinical trials information.
Length: 15-20 hours
Course Content:
Clinical Trials Process
Portray the clinical examination process (stages, key parts, key associations).
Decipher a Statistical Analysis Plan.
Get programming necessities from a SAP and an explained Case Report Form.
Portray administrative prerequisites (standards of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices).
Clinical Trials Data Structures
Distinguish the classes of clinical trials information (demographic, lab, benchmark, attendant medicine, and so forth.).
Distinguish key CDISC principals and terms.
Depict the structure and reason for the CDISC SDTM information model.
Depict the structure and reason for the CDISC ADaM information model.
Depict the substance and reason for define.xml.
Import and Export Clinical Trials Data
Apply administrative prerequisites to traded SAS information sets (SAS V5 necessities).
Oversee Clinical Trials Data
Access DICTIONARY Tables utilizing the SQL system.
Inspect and investigate clinical trials info information (discover anomalies, missing versus zero qualities, and so on).
Change Clinical Trials Data
Apply arrangement and windowing strategies to clinical trials information.
Transpose SAS information sets.
Apply 'perception convey forward' systems to clinical trials information (LOCF, BOCF, WOCF).
Ascertain 'change from benchmark' results.
Get include of occasions clinical trials.
Apply Statistical Procedures for Clinical Trials
Use SAS techniques to get elucidating measurements for clinical trials information (FREQ, UNIVARIATE, MEANS, SUMMARY).
Use PROC FREQ to get p-values for all out information (2×2 and NxP test for affiliation).
Use PROC TTEST to get p-values for consistent information (one-specimen, combined and two-example t-tests).
Make yield information sets from measurable methods.
Large scale Programming for Clinical Trials
Make and utilize client characterized and programmed large scale variables.
Computerize programs by characterizing and calling macros.
Use framework alternatives to troubleshoot macros and showcase estimations of large scale variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, MACROGEN).
Report Clinical Trials Results
Use PROC REPORT to deliver tables and postings for clinical trials reports.
Use ODS and worldwide proclamations to create and enlarge clinical trials reports.
Approve Clinical Trial Data Reporting
Clarify the standards of programming approval in the clinical trial industry.
Use the log record to accept clinical trial information reporting.
Use programming methods to approve clinical trial information reporting (PROC COMPARE, MSGLEVEL).
Distinguish and Resolve information, linguistic structure and rationale mistakes.
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