Dublin, Nov. 10, 2026 (GLOBE NEWSWIRE) -- "Biostatistics for Non-Statisticians: A Practical Guide (May 26th - May 28th, 2026)" has been added to ResearchAndMarkets.com's offering.
Research and Markets has made the recording of “Biostatistics for Non-Statisticians: A Practical Guide” available for on-demand purchase. The three-day course, led by Elaine Eisenbeisz, was held live on May 26-28, 2026. It is designed for professionals with little or no statistical background who need to understand, evaluate and communicate the statistics behind clinical trials and scientific research.
Key Event Facts
- Course: Biostatistics for Non-Statisticians: A Practical Guide
- Format: Recorded training, accessed online through a secure website
- Original live event: May 26-28, 2026 (EST)
- Duration: Three days
- Speaker: Elaine Eisenbeisz
- Regulatory focus: Statistical analysis plans aligned with FDA and MHRA expectations
Day 1: Foundations of Statistics
The course opens with why statistics matter: sample versus population, what statistics can and cannot do, and descriptive statistics and variability. Participants learn to interpret confidence intervals, p-values and effect sizes, and to distinguish statistical significance from clinical significance. The day also covers types of data, the normal distribution, graphical representation, and common statistical tests, including regression and non-parametric techniques.
Day 2: Advanced and Applied Statistical Methods
Day 2 covers logistic regression and odds ratios, and survival analysis using Kaplan-Meier curves, log-rank tests and Cox regression, including proportional hazards and hazard ratios. Participants are also introduced to Bayesian thinking, with applications in diagnostic testing and genetics. The day ends with systematic reviews and meta-analysis.
Day 3: Clinical Research and Real-World Application
The final day addresses equivalence and non-inferiority testing, and power and sample size calculation, with a demonstration of G*Power software. It also covers how to critically review scientific literature and assess its quality and limitations. The course closes with step-by-step development of a statistical analysis plan (SAP) aligned with FDA and MHRA expectations, and an SAP template is provided.
Why You Should Watch
- Interpret p-values, confidence intervals and significance correctly
- Choose the right statistical test for different study scenarios
- Understand sample size, bias and study design fundamentals
- Evaluate research findings and avoid misleading conclusions
- Communicate statistical results clearly across your organisation, using an SAP template aligned with FDA and MHRA expectations
Who Should Watch
The course is designed for professionals with little or no statistical background, including specialists who work with study design and research findings in scientific and biotech settings.
Featured Speaker
- Elaine Eisenbeisz
Professionals who need to understand and act on clinical and scientific data can purchase the recording through Research and Markets. Access details are sent by email.
For more information about this training visit https://www.researchandmarkets.com/r/8849bn
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