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For example, in the two sample t-test we can see the effect of changing anything from the significance level to the standard deviation on any of the solvers in the table which in this table would be for; the effect size, sample size or power.
Today study designs and statistical methods have never been more varied or more complex. Yet, one of the central questions when designing your study remains the same. What is the appropriate sample size for my study?
Bayesian Statistics
Integrate prior information, real-world data & expert opinions
Bayesian assurance - the true probability of success
Communicate complex findings to non-statisticians
Identify study design threats & opportunities
Key Event Prediction
Accurately predict your key trial milestones
Identify roadblocks and take action to keep your trial on schedule
Use your trial data to project when key actions will occur
Projections for both blinded and unblinded data
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