This seminar provides a non-mathematical introduction to biostatistics and is designed for non-statisticians. And it will benefit professionals who must understand and work with study design and interpretation of findings in a clinical or biotechnology setting.
The focus of the seminar is to give you the information and skills necessary to understand statistical concepts and findings as it applies to clinical research, and to confidently convey the information to others.
Emphasis will be placed on the actual statistical (a) concepts, (b) application, and (c) interpretation, and not on mathematical formulas or actual data analysis. A basic understanding of statistics is desired, but not necessary.
Day 1 Schedule
Lecture 1: Why Statistics?
- Do we really need statistical tests?
- Sample vs. Population
- I'm a statistician not a magician! What statistics can and can't do
- Descriptive statistics and measures of variability
Lecture 2: The many ways of interpretation
- Confidence intervals
- Effect sizes
- Clinical vs. meaningful significance
Lecture 3: Common Statistical Tests
- Comparative tests
- Regression analysis
- Non-parametric techniques
Lecture 4: Bayesian Logic
- A different way of thinking
- Bayesian methods and statistical significance
- Bayesian applications to diagnostics testing
- Bayesian applications to genetics
Day 2 Schedule
Lecture 1: Interpreting Statistics - Team Exercise
- Team Exercise: Review a scientific paper and learn how to
- Interpret statistical jargon
- Look for reproducibility, transparency, bias, and limitations
- Convey information coherently to non-statisticians
Lecture 2: Study power and sample size
- Review of p-value, significance level, effect size
- Formulas, software, and other resources for computing a sample size
Lecture 3: Developing a Statistical Analysis Plan
- Using FDA guidance as a foundation, learn the steps and criteria needed to develop a statistical analysis plan (SAP)
- An SAP template will be given to all attendees
Lecture 4: Specialized topics/Closing Comments/Q&A
- Comparing Survival Curves
- Pharmocokinetics/Pharmacodynamics (PK/PD)
- Taking a holistic view to study design and interpretation
- Question and Answer session
For more information about this conference visit https://www.researchandmarkets.com/research/8zlwnw/2_day_seminar?w=4