Biostatistics for the Non-Statistician Course Description

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 good and 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 is 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?

And it will profit specialists who must comprehend and work with study design and clarification of 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.

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

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 is supposed to get the benefit?

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.

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.

This live training seminar includes the following for each registered attendee:

A copy of the presentation slides by download
A certificate of participation for attendee training records
Q/A Session

How to Attend:

All WCS Seminar live training programs audio and visuals are delivered via Go to Webinar with a basic system requirement of a computer with internet access. You do not require a Go to Webinar account to join WCS Seminar’ live training courses, participants receive an email invitation that provides the access you need to join the meeting.

Elaine Eisenbeisz

Statistician ( 30 + yrs exp.)

Owner & Principal of Omega Statistics

Murrieta, California, United States

Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California. Elaine has over 30 years of experience in creating data and information solutions for industries ranging from governmental agencies and corporations, to start-up companies and individual researchers.

In addition to her technical expertise, Elaine possesses a talent for conveying statistical concepts and results in a way that people can intuitively understand.

Elaine’s love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended University of California, Riverside, as a National Science Foundation scholar, where she earned a B.S. in Statistics with a minor in Quantitative Management, Accounting. Elaine received her Master’s Certification in Applied Statistcs from Texas A&M. She is a member in good standing with the American Statistical Association as well as many other professional organizations. She is also a member of the Mensa High IQ Society. Omega Statistics holds an A+ rating with the Better Business Bureau.

Elaine has designed the methodology for numerous studies in the clinical, biotech, and health care fields. She has served as an investigator on many oncology trials. She also designs and analyzes studies as a contract statistician for pharmaceutical, nutriceutical and fitness companies and various clinical research organizations. Her work includes design and analysis for numerous private researchers and biotech start-ups as well as with larger companies such as Intutive, Allergan, and Rio Tinto Minerals. Not only is Elaine well versed in statistical methodology and analysis, she works well with project teams. Throughout her tenure as a private practice statistician, she has published work with researchers and colleagues in peer-reviewed journals. Please visit the Omega Statistics website at www.OmegaStatistics.com to learn more about Elaine and Omega Statistics.

Biostatistics for the Non-Statistician Training

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