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

DUBLIN–(BUSINESS WIRE)–The course “Biostatistics for non-statisticians training course” has been added to from ResearchAndMarkets.com offer.

The goal of the seminar is to give you the information and skills to understand the concepts and statistical results applicable to clinical research, and to confidently pass the information on to others.

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

Many statistical software are now available to professionals. However, this software was developed for statisticians and can often be intimidating to non-statisticians. How do you know if you’re pressing the right key, let alone if you’re performing the best test?

This seminar offers a non-mathematical introduction to biostatistics and is intended for non-statisticians. And it will benefit professionals who need to understand and work with study design and interpretation of results in a clinical or biotechnology setting.

The focus will be on actual statistical concepts (a), (b) application and (c) interpretation, not on mathematical formulas or analysis of actual data. A basic understanding of statistics is desired, but not necessary.

Learning objectives

  • Understand the statistical portions of most medical journal articles.

  • Do simple calculations, especially those that help interpret published literature.

  • Avoid being misled by foolish discoveries.

  • Know which test when, why and how.

  • Perform simple analyzes in statistical software.

  • Communicate statistical results more clearly to others.

Main topics covered:

DAY 1 :

Session 1: Why statistics

  • Do we really need statistical tests?

  • Sample vs Population

  • I am a statistician not a magician! What statistics can and cannot do

  • Descriptive statistics and measures of variability

Session 2: The multiple paths of interpretation

  • Confidence intervals

  • p-values

  • effect sizes

  • Clinical Significance vs Significant Significance

Session 3: Common Statistical Tests

  • Comparative tests

  • Regression analysis

  • Nonparametric techniques

Session 4: Bayesian logic

  • A different way of thinking

  • Bayesian methods and statistical significance

  • Bayesian applications to diagnostic tests

  • Bayesian applications to genetics

DAY 2:

Session 1: Systematic reviews and meta-analysis

  • Why do a systematic review and/or meta-analysis?

  • A bit of history and reasoning for systematic reviews and/or meta-analyses

  • Terminology

  • Steps in Conducting a Systematic Review

  • Steps in Conducting a Meta-Analysis

Session 2: Study power and sample size

  • Review of p-value, significance level, effect size

  • Formulas, software and other resources for calculating 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).

  • A SAP template will be given to all participants.

Session 4: Specialized topics and other tests

  • Survival curves and Cox regression

  • Logistic regression

  • Take a holistic view to study design and interpretation

  • Non-parametric tests

  • Equivalence test

  • Non-inferiority test

  • Question and answer session

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

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