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Registration for Negida Clinical Research Training

NEGIDA CLINICAL RESEARCH TRAINING

Negida's Clinical Research Training is composed of 5 separate clinical research modules.

NOTE: You can register for one module only or multiple modules according to your preference(s).

# Module 1: Clinical Research Methodology
# Module 2: Medical Statistics on SPSS
# Module 3: Sample Size Calculation in Clinical Research Studies
# Module 4: Medical Writing and Academic Publishing
# Module 5: Systematic Review and Meta-analysis of interventional studies
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7. Which module(s) are you registering for? *This question is required.
The structure of the selected module(s) will appear below this line
Clinical Research Methodology #1
 Searching the Literature
 Hypothesis testing
 Protocol writing
 Ethical considerations of clinical research

Clinical Research Methodology #2
 Data collection procedures in clinical research
 Bias and errors
 Overview of Clinical Study Designs
 Case reports and case series
 Cross-sectional studies

Clinical Research Methodology #3
 Cohort studies
 Case-control studies
 Diagnostic test accuracy studies
 Fundamentals of clinical trials
 Systematic reviews and Meta-analysis (definitions only)
Medical Statistics #1
 Descriptive statistics
 Probability Distributions
 P value
 Confidence intervals
 Vital rates in Epidemiological studies

Medical Statistics #2
 Hypothesis testing
 Correlation analysis
 Regression analysis
 Survival analysis

Medical Statistics #3
 Case scenarios for analysis procedures of cross-sectional studies
 Case scenarios for analysis procedures of cohort studies
 Case scenarios for analysis procedures of case-control studies
 Case scenarios for analysis procedures of diagnostic test accuracy studies
 Case scenarios for analysis procedures of clinical trials
 Case scenarios for the “interpretation” of Meta-analysis
How to Calculate Sample Size for Clinical Research Studies

 Sampling methods in clinical research
 Basic concepts of sample size and power calculation
 MCID: definition, importance, and applications
 How to calculate Sample size for Independent case-control studies
 How to calculate Sample size for Independent cohort studies
 How to calculate Sample size for Matched case-control studies
 How to calculate Sample size for Paired cohort studies
 How to calculate Sample size for Population surveys
 How to calculate Sample size based on survival analysis
 How to calculate Sample size based on correlation
 How to calculate Sample size for Superiority trials
 How to calculate Sample size for Non-inferiority trials
 How to calculate Sample size for Bioequivalence trials
How to Write and Publish Research

 Structure of the biomedical research paper
 Standard reporting of clinical research
 Rules of scientific writing
 Authorship
 Selecting a suitable journal for your paper
 How to prepare your manuscript
 Writing a cover letter
 Academic publishing process
Systematic review and Meta-analysis of interventional studies #1
 Types of Systematic Reviews
 Steps of Systematic Reviews
 Developing review criteria
 How to search the literature
 Tips for data extraction
 Quality assessment of interventional studies

Systematic review and Meta-analysis of interventional studies #2
 Introduction to Meta-analysis
 Choosing the best statistical method for each outcome
 Pooling continuous and dichotomous data
 Interpretation of Forest plot
 Interpretation of Funnel plot for Assessment of Publication bias
 Subgroup analysis and Sensitivity analysis
 PRISMA checklist
 Data analysis [workshop]

Systematic review and Meta-analysis of interventional studies #3
 Estimation of missing data in the meta-analysis
 Meta-regression analysis: concept, procedures, and interpretation
 Cumulative meta-analysis
 Leave one out meta-analysis
 IPD meta-analysis, NMA network meta-analysis (definition & example only)
 Examples and practical simulation workshop on Meta-analysis
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