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Press Release

2-Day Seminar: Biostatistics for the Non-Statistician (San Francisco, CA, United States - December 6-7, 2018) -

Research and Markets
Posted on: 01 Nov 18

The "Biostatistics for the Non-Statistician" conference has been added to's offering.

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 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 (8:30 AM - 4:30 PM)

8:30-8:59 Registration Meet & Greet.

9:00 -10:30 Introductions: Seminar objectives review, expectations and scope. 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

10:30 - 10:45 Break

10:45-12:00 Session 2: The many ways of interpretation

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

12:00-1:00 Lunch

1:00-2:30 Session 3: Common Statistical Tests

  • Comparative tests
  • Regression analysis
  • Non-parametric techniques

2:30 - 2: 45 Break

2:45-4:30 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 (8:30 AM - 4:30 PM)

9:00 -10:30 Session 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

10:30 - 10:45 Break

10:45-12:00 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

12:00-1:00 Lunch

1:00-2:30 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.

2:30 - 2: 45 Break

2:45-4:30 Session 4: Specialized topics/Closing Comments/Q&A

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

For more information about this conference visit

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Business Wire

Last updated on: 01/11/2018

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