2 Day Biostatistics for the Non-Statistician Training Course (November 20-21, 2022) - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Biostatistics for the Non-Statistician Training Course" training has been added to ResearchAndMarkets.com's offering.

The focus of the seminar is to give you the information and skills necessary to understand statistical concepts and findings as applies to clinical research, and to confidently convey the information to others.

Statistics is a useful decision-making tool in the clinical research arena. When working in a field where a p-value can determine the next steps on development of a drug or procedure, it is imperative that decision makers understand the theory and application of statistics.

Many statistical softwares are now available to professionals. However, these softwares were developed for statisticians and can often be daunting to non-statisticians. How do you know if you are pressing the right key, let alone performing the best test?

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.

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.

Learning objectives

• Understand the statistical portions of most articles in medical journals.
• Do simple calculations, especially ones that help in interpreting published literature.
• Avoid being misled by foolish findings.
• Knowledge of which test when, why, and how.
• Perform simple analyses in statistical software.
• Communicate statistical findings to others more clearly.

Key Topics Covered:

DAY 1:

Session 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

Session 2: The many ways of interpretation

• Confidence intervals
• p-values
• effect sizes
• Clinical vs. meaningful significance

Session 3: Common Statistical Tests

• Comparative tests
• Regression analysis
• Non-parametric techniques

Session 4: Bayesian Logic

• A different way of thinking
• Bayesian methods and statistical significance
• Bayesian applications to diagnostics testing
• Bayesian applications to genetics

DAY 2:

Session 1: Systematic Reviews and Meta-Analysis

• Why perform a systematic reviews and/or meta-analysis?
• A bit of history and reasoning for systematic reviews and/or meta analysis
• Terminology
• Steps in performing a Systematic Review
• Steps in performing a Meta-Analysis

Session 2: Study power and sample size

• Review of p-value, significance level, effect size
• Formulas, software, and other resources for computing a sample size

Session 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.

Session 4: Specialized topics & Other Tests

• Survival Curves and Cox Regression
• Logistic Regression
• Taking a holistic view to study design and interpretation
• Non-Parametric tests
• Test for equivalency
• Test for non-inferiority
• Question and Answer session

For more information about this training visit https://www.researchandmarkets.com/r/lnzo6l