NQuery Sample Size Software: Difference between revisions

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{{Short description|Clinical trial design platform}}

{{advert|date=May 2018}}

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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 a proprietary software developed and distributed by [[Statsols]]. nQueryThe software includes calculations for 1000+over 1,000 sample sizes 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 named nQuery Advisor back then). This software quickly became widely used to estimate the sample size requirements for pharmaceutical trials. She 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 webpress release |title=Insightful urlScience 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| title = Insightful Science Acquires nQuery, Builds on Portfolio of Category-Leading Scientific Software Solutions}}</ref>

==nQuery featured in scientific journals ==

{{Puffery|date=November 2021}}<!-- All this is showing that this word is popular in searches. It doesn't show that anything significant is actually discussed in these articles or how many articles are in peer review journals or how many conclusions have been invalidated by other articles. -->

==Uses ==

As of May 2022, there are 8,250 published scientific studies, which are available to the public through Google Scholar, that feature nQuery. The U.S. [[National Institutes of Health]] Library lists over 895 published studies that utilized nQuery for sample size calculation during clinical trial design.

nQuery is used for [[Adaptive clinical trial|adaptive clinical trial design.]] Trials with an adaptive design arehave oftenbeen reported to be more efficient, informative, and ethical than trials with a traditional fixed design sincebecause they conserve resources such as time and money, and most of time,often require fewer participants.<ref>{{Cite journal | doi=10.1186/s12916-018-1017-7| pmid=29490655| pmc=5830330| title=Adaptive designs in clinical trials: Why use them, and how to run and report them| year=2018| 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| journal=BMC Medicine| volumedoi-access=16|free issue=1| pages=29}}</ref>

== Frequentist and Bayesian statistics ==

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 &#124; Sample Size Software &#124; Power Analysis Software}}</ref>

== Adaptive clinical trial design ==

nQuery is used for [[Adaptive clinical trial|adaptive clinical trial design.]] Trials with an adaptive design are often reported to be more efficient, informative, and ethical than trials with a traditional fixed design since they conserve resources such as time and money, and most of time, require fewer participants.<ref>{{Cite journal | doi=10.1186/s12916-018-1017-7| pmid=29490655| pmc=5830330| title=Adaptive designs in clinical trials: Why use them, and how to run and report them| year=2018| 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.| last12=Wason| first12=James M. S.| last13=Weir| first13=Christopher J.| last14=Wheeler| first14=Graham M.| last15=Yap| first15=Christina| last16=Jaki| first16=Thomas| journal=BMC Medicine| volume=16| issue=1| pages=29}}</ref>

== nQuery acquired by Insightful Science ==

In June 2020, nQuery was acquired by Insightful Science.<ref>{{cite web| url = https://www.prnewswire.com/news-releases/insightful-science-acquires-nquery-builds-on-portfolio-of-category-leading-scientific-software-solutions-301068141.html| title = Insightful Science Acquires nQuery, Builds on Portfolio of Category-Leading Scientific Software Solutions}}</ref>

==References==