Research Design

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This document discusses key aspects of research design including replication, randomization, and blocking. It explains that replication involves repeating experiments to test if units respond the same way to treatments, allowing significance to be tested. Randomization ensures unbiased estimates by randomly assigning experimental units to treatments. Blocking balances groups and controls for extraneous variables through homogeneous blocking. The document provides an example experimental design layout.

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About the webinar Flexible Clinical Trial Design | Survival, Stepped-Wedge & MAMS Designs As clinical trials increase in complexity, the requirement is for trial designs to adapt to these complications. From dealing with non-proportional hazards in survival analysis to creating seamless Phase II/III clinical trials, it is an exciting time to be involved in clinical trial design and analysis. In this free webinar, we will explore a select few topics that highlight the additional flexibility available when designing modern clinical trials. In this free webinar you will learn about: Flexible Survival Analysis Designs Non-proportional hazards and other complex survival curves have become of increasing interest, due to being commonly seen in immunotherapy development. This has led to interest in assessing the robustness of standard methods and alternative methods that better adapt to deviations. In this webinar, we will look at power analysis assuming complex survival curves and the weighted log-rank test as one candidate model to deal with a delayed survival effect. Stepped-Wedge designs Cluster-randomized designs are often adopted when there is a high risk of contamination if cluster members were randomized individually. Stepped-wedge designs are useful in cases where it is difficult to apply a particular treatment to half of the clusters at the same time. In this webinar, we will introduce stepped-wedge designs and provide an insight into the more complex, flexible randomization schedules available. Multi-Arm Multi-Stage (MAMS) MAMs designs provide the ability to assess more treatments in less time than could be done with a series of two-arm trials and can offer smaller sample size requirements when compared to that required for the equivalent number of two-arm trials. In this webinar, we will look at the design of a Group Sequential MAMS design and explore its design requirements. Duration - 60 minutes Speaker: Ronan Fitzpatrick, Head of Statistics, Statsols For more webinars check out https://www.statsols.com/webinars

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