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{{Short description|Clinical trial design platform}}
{{Lowercase title}}
{{Infobox
| name = nQuery
| logo = NQuery_Powering_Sample_Size.jpg
| logo alt = nQuery
| genre = [[Sample size determination|Sample Size]]
[[Statistical power|Statistical Power Calculation]] [[Statistical hypothesis testing|Statistical Hypothesis Testing]] [[Adaptive clinical trial|Adaptive Clinical Trial Design]]
| developer = [[Statsols]]
| latest release version = nQuery Advanced 8.
| license = [[Proprietary software|Proprietary]]
| website = {{URL|www.statsols.com}}
}}
'''nQuery
==History==
[[Janet D. Elashoff|Janet Dixon Elashoff]], creator of nQuery, is a
In June 2020, nQuery was acquired by Insightful Science.<ref>{{cite press release |title=Insightful Science Acquires nQuery, Builds on Portfolio of Category-Leading Scientific Software Solutions |url=https://www.prnewswire.com/news-releases/insightful-science-acquires-nquery-builds-on-portfolio-of-category-leading-scientific-software-solutions-301068141.html}}</ref>
▲[[Janet D. Elashoff|Janet Dixon Elashoff]] is a now-retired American statistician and daughter of the mathematician and statistician [[Wilfrid Dixon|Wilfrid Joseph Dixon]], creator of BMDP. J. Elashoff is also the retired Director of the Division of Biostatistics, [[Cedars-Sinai Medical Center]]. While at [[University of California, Los Angeles|UCLA]] and Cedars-Sinai during the 1990s, she wrote the program nQuery Sample Size Software (then known as nQuery Advisor). This quickly became widely used to estimate the sample size requirements for pharmaceutical testing and she joined the company Statistical Solutions LLC to commercialize it.<ref name=cherfriis>{{citation|title=Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap|series=Wiley series in probability and statistics|first1=Michael R.|last1=Chernick|first2=Robert H.|last2=Friis|publisher=John Wiley & Sons|year=2003|isbn=9780471458654|page=360|url=https://books.google.com/books?id=QRwuz6yA97oC&pg=PA360}}</ref>
==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 |doi-access=free }}</ref>
nQuery
▲nQuery Sample Size Software allows researchers to apply both [[Frequentist inference|frequentist]] and [[Bayesian inference|Bayesian]] statistics to calculate desired sample size.<ref>https://www.statsols.com/nquery/sample-size-procedures</ref>
==References==
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==External links==
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[[Category:Sampling (statistics)]]
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