The role of clinical trials in science and clinical practice course
Welcome to the e-learning course entitled Clinical Research!
This course focuses on the theoretical basis for understanding Clinical Research. The course aims to acquaint the student with the advantages and disadvantages of this research modality, how to ask and answer the appropriate clinical question, and the approach to reading critical literature. Topics embrace the entire process, divided into two main parts: clinical research planning and maintenance&closure. The first part will introduce you to the aim of clinical research, study types, sources of bias, hypotheses, statistical and ethical considerations, IT background, data protection, and the role of contributors. The second section includes presentations on patient enrollment, quality control, analysis, and article writing.
Lectures:
Part I.: Clinical research planning phase
- The purpose of clinical research
- Clinical research types
- Observational studies
- Descriptive studies
- Analytical studies: cohort, case-control and cross-sectional studies
- Bias in observational studies
- Experimental studies
- Hypotheses in randomized controlled trials
- Randomized controlled trials: phases and designs
- Bias in randomized controlled trials
- Reduction of bias in experimental studies: masking and blinding
- Randomization types
- Interventions and outcomes of clinical trials
- Statistical considerations: sample size calculation
- Statistical considerations: multiplicity
- Statistical considerations: group sequential trials
- Statistical considerations: missing data
- Statistical considerations: adaptive clinical trials
- Clinical trial regulations
- Data protection in clinical research
- Introduction of the Clinical Trial Coordinator Group
- Preparation of the pre-study protocol
- Ethical approvals
- Data collection and quality
- Biobank sample collection
- IT development
- Human and financial resources (PI, CRA)
Part II: II. Clinical Research Running phase and Closure
- Patient enrollment
- Maintaining a study, quality assurance
- Closure of a clinical study, interim analysis
- Data structure
- Data types, scales
- Descriptive statistics
- Comparative statistics
- Level of evidence
- Article structure of randomized controlled trials
- Authorship policy
- Distribution of your findings