[[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 web |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>
==Uses ==
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 sincebecause they conserve resources such as time and money, and most of time,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>
