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

# 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

Searching the Literature

Hypothesis testing

Protocol writing

Ethical considerations of clinical research

Data collection procedures in clinical research

Bias and errors

Overview of Clinical Study Designs

Case reports and case series

Cross-sectional studies

Cohort studies

Case-control studies

Diagnostic test accuracy studies

Fundamentals of clinical trials

Systematic reviews and Meta-analysis (definitions only)

Descriptive statistics

Probability Distributions

P value

Confidence intervals

Vital rates in Epidemiological studies

Hypothesis testing

Correlation analysis

Regression analysis

Survival analysis

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

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

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

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

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]

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