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'''nQuery''' is a clinical trial design platform used for the design and monitoring of adaptive, group sequential, and fixed sample size trials. It is most commonly used by biostatisticians to calculate [[Sample size determination|sample size]] and [[statistical power]] for [[Adaptive clinical trial|adaptive clinical trial design.]] nQuery is
==History==
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==Uses ==
nQuery is used for [[Adaptive clinical trial|adaptive clinical trial design.]] Trials with an adaptive design have been reported to be more efficient, informative, and ethical than trials with a traditional fixed design because they conserve resources such as time and money and often require fewer participants.<ref>{{Cite journal |last1=Pallmann |first1=Philip |last2=Bedding |first2=Alun W. |last3=Choodari-Oskooei |first3=Babak |last4=Dimairo |first4=Munyaradzi |last5=Flight |first5=Laura |last6=Hampson |first6=Lisa V. |last7=Holmes |first7=Jane |last8=Mander |first8=Adrian P. |last9=Odondi |first9=Lang'o |last10=Sydes |first10=Matthew R. |last11=Villar |first11=Sofía S. |year=2018 |title=Adaptive designs in clinical trials: Why use them, and how to run and report them |journal=BMC Medicine |volume=16 |issue=1 |pages=29 |doi=10.1186/s12916-018-1017-7 |pmc=5830330 |pmid=29490655 |last12=Wason |first12=James M. S. |last13=Weir |first13=Christopher J. |last14=Wheeler |first14=Graham M. |last15=Yap |first15=Christina |last16=Jaki |first16=Thomas}}</ref>
nQuery allows researchers to apply both [[Frequentist inference|frequentist]] and [[Bayesian inference|Bayesian]] statistics to calculate the appropriate sample size for their study.<ref>{{Cite web | url=https://www.statsols.com/nquery/sample-size-procedures | title=What sample size and power analysis procedures you get in nQuery | Sample Size Software | Power Analysis Software}}</ref>
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