Introduction

A practical course on statistical analysis in biomedical and clinical sciences focused on method match: choosing the right analysis for your research question, objectives, endpoints, and design. Includes hands-on practice in Minitab and GraphPad Prism, plus a responsible AI workflow for faster, more confident analysis without unsupported claims.

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Audience

• MSc/PhD students and early-career biomedical/clinical researchers

• Clinicians and research coordinators working with study data

• Lab researchers 

 

Objectives 

By the end of the course, participants will be able to:

1. Match method to question: translate a biomedical/clinical research question into objectives, hypotheses, endpoint types, and an analysis plan.

2. Classify clinical/biomedical data correctly: tabular datasets; variable roles (outcome/exposure/covariates); data types (continuous, binary, ordinal, count); paired/repeated measures; basic missing-data handling (intro-level).

3. Select and justify comparative analyses commonly used in biomedical studies:

   • t-tests (independent/paired), Mann–Whitney/Wilcoxon

   • one-/two-way ANOVA concepts, Kruskal–Wallis/Friedman

   • post-hoc comparisons and multiplicity awareness 

4. Conduct tabular/categorical analyses (typical clinical tables):

   • chi-square/Fisher’s exact; contingency tables

   • effect measures framing (risk/odds language) + confidence intervals 

5. Apply correlation and association methods appropriately:

   • Pearson vs Spearman

   • interpreting strength/direction vs causation; handling outliers and nonlinearity

6. Build and interpret regression models aligned with endpoint type:

   • linear regression (continuous outcomes)

   • logistic regression concept (binary outcomes)

   • covariates/confounding (objective-driven selection) and diagnostics mindset

7. Analyze dose–response and concentration–effect data (common in biomedicine):

   • curve fitting concepts (e.g., sigmoidal/logistic shapes), parameter interpretation (e.g., EC50/IC50 concepts)

   • comparing curves across groups/conditions (what is defensible to claim)

8. Produce publication-ready figures and tables in Prism (and outputs in Minitab), with correct reporting elements: effect sizes, CI, assumptions, and limitations.

9. Use AI responsibly to speed up analysis (planning → checking → interpreting → reporting) with verification guardrails to avoid overconfident/unsupported claims.

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Agenda 

Day 1: Method match + core comparisons + clinical tables

1. Method-match workflow: research question → objectives → hypotheses → endpoint type → analysis plan

2. Data classification for biomedical/clinical studies: tabular structure

3. Comparative analyses (method selection + justification):

   • independent vs paired (t-test vs Mann–Whitney/Wilcoxon)

   • multi-group & repeated (ANOVA concepts vs Kruskal–Wallis/Friedman)

   • post-hoc logic + multiplicity awareness 

4. Clinical tables / categorical analysis: contingency tables; chi-square vs Fisher; effect measure framing (risk/odds) + CI principles

5. Hands-on in Minitab & Prism: run key tests and interpret outputs 

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Day 2: Association, models, dose–response, reliability + responsible AI

1. Correlation & association: Pearson vs Spearman; outliers/nonlinearity; association vs causation language

2. Regression method matching: linear regression (continuous outcomes); logistic regression concept; covariates/confounding

3. Dose–response / concentration–effect: curve fitting concepts; EC50/IC50 interpretation; comparing curves across conditions 

4. Reporting + responsible AI workflow: publication-ready figures/tables in Prism (and outputs in Minitab); effect sizes, CI, assumptions, limitations; AI plan → check → interpret → report with verification guardrails

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About Your Trainer

Dr. Nouf Mahmoud, founder of CROSSTALK LAB, brings over 20 years of experience in education, research, supervision, and mentoring. A UK-CPD–certified trainer committed to empowering researchers, she has been honored twice by UNESCO for her excellence in research and mentoring, and by HEC Paris University for outstanding leadership.

 

Cost

600 QAR, use this code for 20% OFF: CROSSTALK-OFF

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Certificate available.​​

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