This workshop focuses on descriptive and inferential methodologies to explore data including summary statistics and bivariate analysis for hypothesis testing. Participants will able to perform explanatory data analysis and to apply bivariate analysis in their research.
This course will include the following: 1) Dimensions and methods of developing professionalism. 2) Commitment to and compliance with institutional policies, regulations, standard operating procedures, and practice guidelines. 3) Define conflict of interest (pharma, insurance, research) and how to prevent it. 4) Define professional malpractice, medical errors, medication errors, medical negligence: causes, consequences, and litigation.
This course will include: 1) Understanding research ethics and regulations: International and national Saudi codes. 2) Understanding IRB: roles and functions, operating procedures. KPI, adverse events reporting, auditing and monitoring. 3) Knowledge of research subject rights: autonomy and informed consent, privacy and confidentiality, disclosure, human research subject protection. 4) Conflicts of interest in research and how to deal with pharma sponsors.
This program provide a practical introduction to the methods, techniques, and computation of statistics with human subjects. They will prepare new researchers for their future research projects by introducing the statistical methods most often used in health literature.