NQuery Sample Size Software: Difference between revisions

Revision as of 01:32, 11 July 2019

Revision as of 09:15, 27 November 2019

Line 6:

| logo alt = nQuery Sample Size Software 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 8.45.0

| license = [[Proprietary software|Proprietary]]

| website = {{URL|www.statsols.com}}

}}

'''nQuery Sampleis Sizea Softwareclinical trial design platform''' used for the design and monitoring of adaptive, group sequential and fixed sample size trials. It is statisticalmost softwarecommonly used by Biostatisticians to calculate [[Sample size determination|Sample size]] and [[Statistical power]] for [[Adaptive clinical trial|adaptive clinical trial design.]] ItnQuery is mostproprietary commonlysoftware useddeveloped byand Biostatisticiansdistributed toby determine[[Statsols]]. hownQuery manyincludes peoplecalculations arefor needed1000+ tosample enrollsize intoand apower [[Clinical trial]]scenarios.

==nQuery historyHistory==

nQuery is proprietary software developed and distributed by [[Statsols]]. nQuery includes calculations for close to 1000 sample size and power scenarios.

==nQuery history==

[[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>

==nQuery featuredFeatured inIn scientificScientific journalsJournals ==

ThroughThere manyare iterationsover 6,000 nQueryscientific Samplestudies Sizethat Softwarefeature remainsnQuery. widelyThese usedare inavailable to the pharmaceutical industrypublic for the purpose of calculating sample sizeeducational and forresearch the determination of power for clinical trialspurposes.<ref>https://scholar.google.com/scholar?start=0&q=%22nquery%22</ref> The US [[National Institutes of Health]] Library lists over 895 published studies that used nQuery for sample size calculation thatfor clinical trial design. These are freely available to the public to viewreview.<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>

== Frequentist and Bayesian statistics ==

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>

== Adaptive Clinical Trial Design ==

nQuery is used for [[Adaptive clinical trial|Adaptive clinical trial design.]] Trials with an adaptive design are reported to be often more efficient, informative and ethical than trials with a traditional fixed design since they often make better use of resources such as time and money, and might require fewer participants. <ref>https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1017-7</ref>

==References==

Line 30:

==External links==

* [httphttps://www.statsols.com/ Official Statsols Page for nQuery Sample Size Software]

[[Category:Sampling (statistics)]]