Determining the appropriate number of events needed for survival analysis is a complex task as study planners try to predict what sample size will be needed after accounting for the complications of unequal follow-up, drop-out and treatment crossover.

The statistical, logistical and ethical considerations all complicate life for Biostatisticians as issues to balance in planning a survival analysis. However, this complexity has created a need for new analyses and procedures to help the planning process for survival analysis trials.

The wider move from fixed to flexible designs has opened up opportunities for advanced methods such as adaptive design and Bayesian analysis to help deal with the unique complications of planning for survival data but these methods have their own complications that need to be explored too.

In this free webinar you will learn about:

The new and established design strategies available to you for planning a survival analysis by using practical examples throughout. 

We will cover topics such as:

• Pairing study design with your calculation
  Choosing the appropriate design and model to suit your survival study
  
  
• Overcoming the challenges of survival analysis
  The impact of unequal follow-up, varying hazard rates, dropout and more
  
  
• The new flexible approaches for survival analysis:
  How adaptive design and assurance could help with planning your survival study
  
  
• Worked examples will include:
  - Sample Size for the Log-Rank Test
  - Group Sequential Design for Survival Data
  - Sample Size Re-Estimation for Survival Data
  - Bayesian Assurance for Survival Data

This is a great webinar to get the most success from your clinical trials.  We will show the challenges impacting clinical trials and demonstrate through work examples how to calculate the correct sample size for your trial. To watch this webinar just click below.

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Learn how to calculate Sample Size in 5 simple steps