Reduce Risk & Cost of Clinical Trials

Frequentist & Bayesian analysis to optimize their sample size and trial design

Explore additional benefits of nQuery


B1 Recieve Regulatory Approval
B3 Powerful Sample Size Options
B4 Share and Empower
B5 Easy and Intuitive to Use

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Reducing the risk & cost of clinical trials, for innovative organizations such as:
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Reduce Risk & Cost of Clinical Trials

Both Frequentist & Bayesian analysis to optimize sample size and trial design

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With increasing costs and historically low rates of success it has never been more difficult to conduct a clinical trial. At nQuery we recognize that part of the solution is to ensure that researchers have access to the latest innovations in study planning, design and monitoring. Reduce the risk and cost of your clinical trial by using nQuery as your sample size software.

Whether unlocking the power of previous data using Bayesian methodologies, understanding the true probability of success for your trial or giving researchers the ability to make decisions about their trial while it is still ongoing. At nQuery we want to make sure that you have access to the latest tools such as the Bayesian analysis module in our sample size calculator to maximize the chance of success in your trial.
 
Bayesian Credible Intervals

Bayesian statistical methods continue to gain in popularity thanks to their ability to integrate prior information into their estimates. Despite this, there is still a lack of tools available for when planning or doing a sample size estimation with Bayesian analysis in mind.

With the nQuery sample size calculator you gain access to sample size methods for Bayesian analysis such as posterior credible intervals and thus can be confident that whether you're using a Bayesian or Frequentist analysis you'll be able to find the appropriate sample size for your study.
 
Bayesian Assurance - The True Probability of Success

Using assurance also known as Bayesian power you can integrate prior uncertainty about the effect size or other parameters to gain a more complete understanding of your sample size estimate. Whether using previous data or eliciting expert opinion using frameworks such a SHELF to construct a prior, with assurance you will gain insights into the effect of uncertainty on the true probability of success for your trial.
 
Adaptive Design

Adaptive trials empower researchers to make decisions about their trial while it is still ongoing. By monitoring information as it becomes available they can maximize the value probability of success for their trial.

For example in a group sequential design a researcher could choose to end the trial early if the evidence suggests that there is a very high probability that a trial would end in success or failure. By stopping the trial early they can minimize the cost of the trial and reduce patient risk.

At nQuery we continue to add adaptive designs such as Group Sequential Trials and ensure you have access to the latest innovations in adaptive design. This will ensure that you will have access to the flexibility you need to make sure that your trial is a success at each stage of the process.
 
nQuery - Sample Size Software for biostatisticians

Reduce the risk and cost of your clinical trial by using nQuery as your sample size software. nQuery helps biostatisticians calculate the appropriate sample size by implementing both Frequentist & Bayesian Statistics to optimize their trial design. As the world's leading sample size calculator nQuery plays an important part in any Biostatisticians toolkit.
 

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50k Users
Commercial, academic &
government organizations

Successful Trials
Recognized by the FDA, EMA

& other regulatory bodies

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Given the high failure rates and the increased costs of clinical trials, researchers need innovative design strategies to best optimize financial resources and reduce the risk to patients.

Rewatch our recent webinar where we examine Adaptive trials using the new Adapt Module.

In this webinar you will learn about:
  • The pros and cons of adaptive designs
  • Sample Size Re-estimation
  • Group-Sequential Design
  • Conditional Power
  • Predictive Power

 

Watch Recording Now