Practical Methods to Overcome Sample Size Challenges (Webinar)

Webinar Details

Title: Practical Methods to Overcome Sample Size Challenges
Duration: 60 minutes
Speaker: Ronan Fitzpatrick, Head of Statistics, nQuery Lead Researcher

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If you did not get a chance to view our webinar, you can watch it here on demand. Proving popular by the amount of interest and high number of registrants, we are presenting you with a recording to watch at a time that suits you. 

Hosted by Ronan Fitzpatrick - Head of Statistics and nQuery Lead Researcher at Statsols - we examine some of the most common and practical challenges you will experience while calculating sample size for your study.

These challenges will be split into two categories:
1. Overcoming Sample Size Calculation Challenges (Survival Analysis Example)
2. Overcoming Study Design Challenges (Vaccine Efficacy Example)

1. Overcoming Sample Size Calculation Challenges
(Survival Analysis Example)

• Drop Out: How to deal with expected dropouts or censoring. We compare the simple loss-to-follow-up method and integrating a dropout process into the sample size model?
  
  
• Planning Uncertainty: How best to deal with the inevitable uncertainty at the planning stage? We examine how best to apply a sensitivity analysis and Bayesian approaches to explore the uncertainty in your sample size calculations.
  
  
• Choosing the Effect Size: Various approaches and interpretations exist for how to find the effect size value. We examine those contrasting interpretations and determine the best method and also how to deal with parameterization options.

2. Overcoming Study Design Challenges
(Vaccine Efficacy Example)

The Randomised Controlled Trial (RCT) is considered the gold standard in trial design in drug development. However, there are often practical impediments which mean that adjustments or pragmatic approaches are needed for some trials and studies.

We will examine practical methods how to overcome common study design challenges and how these affect your sample size calculations. In this webinar, we will use common issues in vaccine study design to examine difficulties surrounding issues such as:

• Case-Control Analysis: We will examine how to deal with study constraints and how to deal with analyses done during an observational study.

• Alternative Randomization Methods: How best to address randomization in your vaccine trial design when full randomization is difficult, expensive or impractical. We examine how sample size calculations are affected with cluster or Mendelian randomization.

• Rare Events: How does an outcome being rare affect the types of study design and statistical methods chosen in your study.
  

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More about our webinar host:

About nQuery
nQuery is the leading sample size software for clinical trials. Used by over 50,000 users for over 20 years, nQuery is the sample size calculator for choice for 45/50 top pharma companies. For more helpful sample size content, please visit our collection of sample size resources to view statistical resources on both Bayesian and Frequentist procedures to help your sample size calculations.