To learn the applicable clinical research guidelines, personnel & stakeholders responsibilities, clinical trial study processes, Clinical Data management, Pharmacovigilance etc.
This course aims to largely shorten your time (and save money) for preparing the clinical programming certification exam when you possess SAS Base and some advanced programming techniques and experience. It includes the following:
I have been working in the pharmaceutical industry for many years. In my early days of job seeking, I was certified as a Clinical Trial Programmer Using SAS 9 and it really helped me. Getting the clinical programming certificate is the first and the most important step towards a clinical programmer. It will surely help you get a higher response rate for your job application. More importantly, it helps you understand many important concepts and the application of SAS programming skills in a clinical context that are often questioned during job interviews.
I am sure you would enjoy this crash course with the aim of shortening your preparation time and boost the success rate. Let’s hack into the clinical programming certification and be prepared for the certification exam!
|Module 1||1. Introduction to the course|
|Unit 1||1. SAS-Introduction of the Course|
|Module 2||2. Exam Contents|
|Unit 1||SAS-1. Exam Contents Exam Format, Registration|
|Module 3||3. A Roadmap for SAS Programmers to Clinical Statistical Programming|
|Unit 1||1. Overview|
|Unit 2||2. Primary Role For Clinical Programmers|
|Unit 3||3. Drug device Development Process|
|Unit 4||4. Clinical Trial Study Designs|
|Unit 5||5. Regulations And Standards|
|Unit 6||6. A Closer Look Into The Cdisc|
|Unit 7||7. Clinical Trial|
|Unit 8||8. Classifying Clinical Data Based On Sdtm|
|Unit 9||9. Classifying Clinical Data Based On Sdtm-2|
|Unit 10||10. Capturing Clinical Data Case Report|
|Module 4||4. Clinical Programming in SAS Coding Examples|
|Unit 1||1. Import and Export Clinical Data LIBNAME|
|Unit 2||2. Sas V5 Transport Xpt|
|Unit 3||3. Manage Clinical Data Proc Sort|
|Unit 4||4. Manage Clinical Data PROC PRINT|
|Unit 5||5. Manage Clinical Data PROC CONTENTS|
|Unit 6||6. Manage Clinical Data Outliers and Missing Values|
|Unit 7||7. Manage Clinical Data Dictionary and using PROC SQL to access|
|Unit 8||8. Manage Clinical Data Data Set Option and Label|
|Unit 9||9. Transform Clinical Data Overview|
|Unit 10||10. Transform|
|Unit 11||11. Transform Clinical Data Categorization and Functions|
|Unit 12||12. Transform C|
|Unit 13||13. Transform SQL & Statistical Procedures|
|Unit 14||14. Macro Programming Overview, Macro & Scope of Variables, Parameter Types and Options|
|Unit 15||15. Reporting PROC REPORT, Validation Overview, Validation Defensive Programming and Log Check|
– Any degree in Bioscience/Life Sciences such as Biochemistry, Microbiology, Genetics, Biotechnology, Botany, Zoology etc
– Any degree in Medicine such as MBBS, BDS, BPT, BAMS, BHMS, BUMS etc
– Any degree in Pharmacy / Pharmaceutical Sciences
– Any degree in Chemistry / Biostatistics / Bioinformatics
– Any degree in Nursing / Allied Health.
– Students in their final year of graduation for the above courses are also eligible to apply.
If you lack the above mentioned educational prerequisite you may still be eligible to apply upon recommendation of your supervisor if you have some prior work experience in clinical research / pharmacovigilance / allied areas. Please contact our admission representatives / counsellor to discuss your case.
You can also view our FAQs page for further queries.
Length: 4 weeks
Timings: Self Paced
Effort: 55 hrs. approx
Skill Level: All