The pharmaceutical industry is increasingly turning to Adaptive Trials in an attempt to improve efficiency and enhance decision making. See the top 5 reasons why researchers are using nQuery sample size software for adaptive clinical trial design.
The FDA defines an adaptive clinical trial design as “a clinical trial design that allows for prospectively planned modifications to one or more aspects of the design based on accumulating data from subjects in the trial.” Adaptive clinical trials build in a methodical examination of data to allow interim adjustments in the study design, which leads to updating the trial with new information that would not of been possible at the static planning stage.
The FDA are encouraging sponsors to use adaptive clinical trials as a tool to reduce the risk and costs of a trial, while reducing the time it takes new drugs to reach patients - all while upholding strict standards.
Let's quickly look at 5 Reasons why Biostatisticians are using nQuery for adaptive clinical trials.
For sponsors, adaptive designs can potentially both save time and reduce costs. The FDA group the advantages of adaptive design into the following categories:
(The Winter 2018 nQuery release has an module dedicated to Sample Size Determination for Adaptive Clinical Trials)
An intuitive and easy to use package that is trusted by 1000’s of researchers all over the world, nQuery is known for its user friendly sample size tables. Most organizations that are involved in clinical studies have active nQuery users. This is why researchers are happy to easily add the nQuery adaptive clinical trial design sample size module to their toolkit.
Smooth IT integration aside, researchers often require buy-in from non statistical executives at various review boards. In nQuery, Researchers can demonstrate complex calculations to non-stat execs through easy to understand interface, reporting and plotting tools. nQuery's ease of use is also beneficial for quickly demonstrating findings to fellow statistical experts.
While planning a trial, if the sample size can be reduced without undermining validity of results, then the cost can confidently be reduced.
Likewise, compared with expensive trial design tools or generic statistical platforms, nQuery offers true ROI and is the most cost effective software on the market. With close to 1000 sample size procedures, nQuery provides sample size solutions for innovative designs spanning classical, Bayesian analysis and adaptive clinical trials.
While statistical innovation groups or experts within organizations are already using R and SAS procs to do sophisticated calculations like sample size re-estimation they will normally need a QC process if they are rolled out to other users throughout the org.
nQuery is a fully validated package and you can be certain with the results and calculations you make. Of course this will also allow your Biostatisticians to save valuable time to use on other tasks.
nQuery provides ongoing training in the underlying concepts that are driving innovative methods of sample size determination across various methods.
In this webinar you’ll learn about: