More about the webinar
In most clinical trials, sample size determination is found by reaching a predefined statistical power - typically defined as the Type II error or how likely a significant p-value is under a given treatment effect.
Power calculations require pre-study knowledge about the study design, statistical error rates, nuisance parameters (such as the variance) and effect size with each of these adding additional complexity.
Sample size determination has a number of common pitfalls which can lead to inappropriately small or large sample sizes with issues ranging from poor design decisions, misspecifying nuisance parameters or choosing the effect size inappropriately.
In this live interactive webinar, we will explore these and some solutions to avoid these mistakes and help maximise the efficiency of your clinical trial.
We will provide a comprehensive overview of sample size determination, the key steps to successfully finding the appropriate sample size and cover several common pitfalls researchers fall into when finding the sample size for their study .
You will also have an opportunity to ask questions about your sample size problems.
