From sample size and power analysis to adaptive trial design, discover the nQuery difference today
See why nQuery is the #1 choice for researchers and Biostatisticians who need
to tackle increasing trial complexity, spiraling costs and changing regulations.
Calculate sample size for FDA/EMA submission
Sample size for sophisticated adaptive clinical trials
Simulate how long it will take to recruit patients
Rapidly calculate sample size for a multitude of scenarios
Sample size using Bayesian analysis
Provide realistic estimates of expected timings and costs
Fast spreadsheet-style interface with no coding required
Solutions for Frequentist and Fixed-term trials
Easy to use reporting for all trial stakeholders
In 2021, 88% of organizations with FDA approved clinical trials used nQuery
I have been a user of nQuery software since the late 90's for sample size calculations in clinical trials.
For the last 14 years nQuery has been a standard product in our toolkit.
As a CRO, our clients already know and trust nQuery.
We use it to quickly calculate for a range of scenarios and trial designs.
My research work into a rare disease resulted in quite a small sample size.
I needed to ensure that my study was adequately powered. nQuery provides that.
I have been a user of nQuery software since the late 90's for sample size calculations in clinical trials.
For the last 14 years nQuery has been a standard product in our toolkit.
As a CRO, our clients already know and trust nQuery.
We use it to quickly calculate for a range of scenarios and trial designs.
My research work into a rare disease resulted in quite a small sample size.
I needed to ensure that my study was adequately powered. nQuery provides that.
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