Advanced Research Methodology & Biostatistics Workshop Booklet
April 2026 online workshop booklet for participants, including welcome message, target audience, learning objectives, schedule overview, and agenda highlights.
Welcome
We welcome you all to our workshops on Advanced Research Methodology and Applied Biostatistics, being held virtually in April 2026. This event is organized by Research and AI Solutions L.L.C-FZ (RAIS), a research and Artificial Intelligence-oriented institution headquartered in Dubai, UAE.
Your active participation in case discussions and practical exercises is essential to deriving the full benefit of these workshops. We hope you have a pleasant and educationally rewarding experience.
Target audience
- Physicians
- Nurses
- Clinical pharmacists and pharmacists
- Research scientists
- Research coordinators
- Medical, PharmD, and pharmacy students
Booklet note
This web version is based on the official workshop booklet and uses the approved April 2026 schedule shown on the registration page. Agenda text has been cleaned for web reading and consistency.
Workshops 1–4 objectives
- Understand types of epidemiological studies: observational, analytical, and experimental.
- How to select the best study design for your research.
- Understand different sampling techniques, including probability sampling with practical examples.
- Prepare a questionnaire and chart review form.
- Select ready-to-use questionnaires.
- Write a proposal for different study designs.
- Calculate sample size and prepare a statistical analysis plan for different study designs.
- Understand tips for a successful grant application.
- Write a manuscript.
Workshops 5–8 objectives
- Classify clinical research data according to variable type and study design.
- Apply appropriate descriptive statistical methods to real clinical datasets.
- Create and manage a research database using SPSS, including basic data cleaning.
- Interpret SPSS output tables accurately and translate findings into publication-ready results.
- Understand and interpret point estimates and confidence intervals.
- Critically appraise the statistical methodology of published clinical studies.
- Apply advanced statistical methods appropriately in clinical and epidemiological research settings.
- Select suitable parametric and non-parametric tests based on study design, variable type, and data distribution.
- Conduct and interpret bivariate and regression analyses using SPSS.
- Interpret statistical estimates, confidence intervals, and p-values within clinical context.
- Perform and interpret survival analysis using Kaplan–Meier methods.
- Critically evaluate the appropriateness of statistical methods used in published clinical studies.
Workshop schedule overview
| Workshop | Date | Time |
|---|---|---|
| Workshop 1 — Overview of Study Designs | Saturday, 4 April | 9:00–14:00 |
| Workshop 2 — Questionnaires and Validation | Tuesday, 7 April | 18:00–21:00 |
| Workshop 3 — Proposal Writing, Sample Size, and Statistical Analysis Plan | Saturday, 11 April | 9:00–14:00 |
| Workshop 4 — Scientific Manuscript Writing and Critical Appraisal | Tuesday, 14 April | 18:00–21:00 |
| Workshop 5 — Applied Basic Biostatistics | Saturday, 18 April | 9:00–14:00 |
| Workshop 6 — Statistical Reporting, Inference, and SPSS Interpretation | Tuesday, 21 April | 18:00–21:00 |
| Workshop 7 — Advanced Applied Biostatistics I | Saturday, 25 April | 9:00–14:00 |
| Workshop 8 — Advanced Applied Biostatistics II | Tuesday, 28 April | 18:00–21:00 |
Detailed agenda
Workshop 1 — Overview of Study Designs
Saturday, 4 April | 9:00–14:00
- Overview of study designs
- Surveys and cross-sectional studies
- Sampling techniques
- Cohort studies
- Case-control studies
- Experimental studies
- Revision and discussion
Workshop 2 — Questionnaires and Validation
Tuesday, 7 April | 18:00–21:00
- Revision: study designs
- Ready-to-use questionnaires and validation
- Quality of life and psychological well-being assessment
- Preparing a questionnaire and chart review form for your study
Workshop 3 — Proposal Writing, Sample Size, and Statistical Analysis Plan
Saturday, 11 April | 9:00–14:00
- Write a study proposal: introduction, methods, ethics, timeline, and budgeting.
- Transfer ideas into research objectives and study outcomes.
- Study protocol overview.
- Sample size calculation for different study designs.
- Statistical analysis plan for different study designs.
- Practical statistical analysis plan and sample size.
Workshop 4 — Scientific Manuscript Writing and Critical Appraisal
Tuesday, 14 April | 18:00–21:00
- Writing a scientific manuscript
- Journal selection and submission process
- Key steps in critical appraisal of scientific research
Workshop 5 — Applied Basic Biostatistics
Saturday, 18 April | 9:00–14:00
- Introduction to biostatistics and types of data in clinical research
- Descriptive statistics: organizing, displaying, and summarizing clinical data
- Introduction to SPSS: variables, data entry, data cleaning, and validation
- Hands-on descriptive analysis using SPSS
- Discussion and Q&A
Workshop 6 — Statistical Reporting, Inference, and SPSS Interpretation
Tuesday, 21 April | 18:00–21:00
- Selecting appropriate descriptive statistics for scientific reporting
- Estimation and inference in clinical research
- Point estimates and 95% confidence intervals
- Statistical data analysis for cross-sectional, case-control, and cohort studies
- Interpreting SPSS output and critically appraising published medical studies
- Final discussion and Q&A
Workshop 7 — Advanced Applied Biostatistics I
Saturday, 25 April | 9:00–14:00
- Review of core statistical concepts
- Advanced concepts in hypothesis testing and statistical inference
- Hands-on session: parametric bivariate analysis using SPSS
- Independent t-test, paired t-test, and one-way ANOVA
- Assessment of assumptions
- Discussion and Q&A
Workshop 8 — Advanced Applied Biostatistics II
Tuesday, 28 April | 18:00–21:00
- Hands-on session: non-parametric and categorical data analysis
- Mann–Whitney U, Kruskal–Wallis, Chi-square, and Fisher’s Exact Test
- Correlation and regression modeling
- Pearson correlation and simple linear regression
- Survival analysis in clinical research
- Kaplan–Meier curves, log-rank test, and interpretation of survival probabilities
Ready to continue?
After reviewing the booklet, proceed to the registration page to select workshops and continue to payment.