Content deleted Content added
100 |
Pustam.EGR (talk | contribs) #suggestededit-add-desc 1.0 Tags: Mobile edit Mobile app edit Android app edit |
||
(39 intermediate revisions by 30 users not shown) | |||
Line 1:
{{Short description|Clinical trial design platform}}
{{Lowercase title}}
{{Infobox
| name = nQuery
| logo =
|
| 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''' 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]].
==
[[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>
==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==
{{reflist}}
==External links==
*
[[Category:Sampling (statistics)]]
|