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{{Short description|Clinical trial design platform}}
{{advert|date=May 2018}}
{{Lowercase title}}
{{Infobox Softwaresoftware
| name = nQuery Sample Size Software
| logo = NQuery Sample Size Software LogoNQuery_Powering_Sample_Size.pngjpg
| logo_altlogo alt = nQuery Sample Size Software logo
| logo_caption = nQuery Sample Size Software logo
| logo size = 100px
| 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 8.27
| license = [[Proprietary software|Proprietary]]
| website = {{URL|www.statsols.com}}
}}
'''nQuery Sample Size Software''' is statistical software used to calculate [[Sample size determination|Sample size]] and [[Statistical power]]. It is most commonly used by Biostatisticians to determine how many people are needed to enroll into a [[Clinical trial]].
 
'''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 proprietary software developed and distributed by [[Statsols]]. nQueryThe software includes calculations for closeover to 10001,000 sample sizesizes and power scenarios.
 
==nQuery historyHistory==
[[Janet D. Elashoff|Janet Dixon Elashoff]], creator of nQuery, 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 asnamed nQuery Advisor). This software quickly became widely used to estimate the sample size requirements for pharmaceutical testingtrials. and sheShe joined the company Statistical Solutions LLC in order 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>
 
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>
[[File:NQuery_Powering_Sample_Size.jpg|thumb|nQuery Sample Size Software Logo]]
 
==Uses ==
==nQuery featured in scientific journals ==
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>
Through many iterations, nQuery Sample Size Software remains widely used in the pharmaceutical industry for the purpose of calculating sample size and for the determination of power for clinical trials. The US [[National Institutes of Health]] Library lists over 895 published studies that used nQuery for sample size calculation that are freely available to the public to view.<ref>https://www.ncbi.nlm.nih.gov/pmc/?term=nquery</ref> Other public directories available for further research include Google Scholar where there are over 6,000 scientific studies that feature nQuery available to the public for scientific research.<ref>https://scholar.google.com/scholar?start=0&q=%22nquery%22</ref>
 
nQuery Sample Size Software allows researchers to apply both [[Frequentist inference|frequentist]] and [[Bayesian inference|Bayesian]] statistics to calculate desiredthe 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 &#124; Sample Size Software &#124; Power Analysis Software}}</ref>
== Frequentist and Bayesian statistics ==
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==
* [httphttps://www.statsols.com/ Official Statsols Page for nQuery Sample Size Software]
 
[[Category:Sampling (statistics)]]