Biostatistics for the Non-Statistician Training Course (ONLINE EVENT: November 7-8, 2024)

Learn clinical biostatistics course for the Non-Statistician

The objective of this seminar is to provide every trainee with the information and skills that are mandatory to comprehend numerical concepts and answers as smears to scientific study and to positively convey the information to others.

Statistics is a valuable tool that is useful for making decisions in the medical research arena. When employed in a field where a p-value can determine the next steps in the development of a drug or procedure, it is authoritative that choice makers comprehend the philosophy and request of statistics.

Quite a few numerical software programs are now available to professionals. However, this software was industrialized for geometers and can often be unnerving to non-statisticians. How do you know if you are persistent in the right key, let unaided execution be the best test.

This seminar on medical biostatistics online course provides a non-mathematical introduction to biostatistics and is designed for non-statisticians. It will also benefit specialists who must comprehend and work with study design and clarify findings in a scientific or biotechnology setting.

Stress will be placed on the real numerical (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.

The seminar Includes a Certificate, PDF copy of the Handouts, Q/A Session, Live Instructor-led 3 Days Web Seminar & Statistical Analysis Plan Template provided by the faculty.

Learning objectives

The aim of this seminar is to educate you on enough statistics to:

• Perform simple analyses in statistical software.
• Avoid being misinformed by unwise findings.
• Communicate statistical findings to others more clearly.
• Comprehend the numerical portions of the greatest articles in medical journals.
• Do simple calculations, particularly ones that aid in interpreting published literature.
• Knowledge of which test when, why, and how.

12.0 RAC CREDITS

RAPS - This course has been pre-approved by RAPS as eligible for up to 12.0 credits towards a participant's RAC recertification upon full completion.

Learn more: https://bit.ly/4dw4xmr

Course Content

Agenda Day 1: Basics

Session 1 (90 Mins): 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 (90 Mins): The many ways of interpretation

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

Session 3 (90 Mins): Common Statistical Tests

• Comparative tests
• Correlation
• Regression analysis
• Non-parametric techniques

Session 4 (90 Mins): Bayesian Logic

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

Agenda Day 2

Session 1 (90 Mins): 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

Session 2 (90 Mins): 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 (90 Mins): 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 (90 Mins): Specialized topics/Closing Comments/Q&A

• Logistic Regression
• Comparing Survival Curves/Cox Regression
• Taking a holistic view to study design and interpretation
• Question and Answer session

Who Should Attend

• Physicians
• Medical Writers who need to interpret statistical reports
• Clinical Project Managers/Leaders
• Clinical Research Associates Sponsors
• Regulatory Professionals who use statistical concepts/terminology in reporting
• Clinical research organizations, hospitals, and researchers in health and biotech fields.
• People engaged in the medical sciences, medicinal and or nutraceutical industries, scientific trials, scientific research, and clinical research administrations, physicians, medicinal students, graduate students in the biological sciences, researchers, and medical writers who need to interpret statistical reports.