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Virtual

24 ene 2024 10:00 a.m. - 24 ene 2024 2:00 p.m.

Short Course: Introduction to Statistics in Pharmacovigilance

This is a Virtual Pre-Conference Short Course in conjunction with the Global Pharmacovigilance and Risk Management Strategies Conference

Perspectiva general

*Short Courses require an additional registration fee. You do not need to be registered for the forum to attend*

 

This (mainly) formula-free half day course will provide a basic introduction to statistics and probability which will be applied in the context of drug safety.

 

Topics to be covered include: Understanding denominators and numerators; Measuring and presenting risk; Comparing risks: introduction to absolute risk, risk ratios, odds ratios, and hazard ratios – when, why, and what to look for; Understanding variability, confidence intervals, p-values, and significance; Meta-analysis vs. pooled analysis; Common statistics abuses in PV

 

Registration for Virtual Short Course(s) must be completed prior to event taking place in order to access. No registrations will be accepted during or post-event.

      Receive $150 off your forum registration by registering for any combination of at least two short courses and/or primers as well as the main forum. Purchases must be made at the same time to receive the discount. Discounts will be reflected on the last page of the cart.

       

      Agenda

      • Session 1: The context of statistics in PV (45 minutes)
      • Break (15 minutes)
      • Session 2: Understanding Variability (45 minutes)
      • Break (30 minutes)
      • Session 3:Evidence and Interpretation, Systematic reviews, Meta-analysis (45 minutes)
      • Break (15 minutes)
      • Use and abuse of statistics in PV (45 minutes)

      Objetivos de aprendizaje

      Upon completing this course, attendees will be able to:
      • Explain the importance of denominators and numerators
      • Identify common approaches to measuring and presenting risk
      • Describe standard methods of comparing risks, including absolute risk, risk ratios, odds ratios, and hazard ratios – when, why, and what to look for
      • Analyze the concepts of variability, confidence intervals, p-values, and statistical significance
      • Compare Meta-analysis vs. pooled analysis
      • Recognize common statistics abuses in PV

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