NQuery_Sample_Size_Software

nQuery Sample Size Software

nQuery Sample Size Software

Clinical trial design platform


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 and statistical power for adaptive clinical trial design. nQuery is proprietary software developed and distributed by Statsols. The software includes calculations for over 1,000 sample sizes and power scenarios.

History

Janet Dixon Elashoff, creator of nQuery, is a retired American statistician and daughter of the mathematician and statistician Wilfrid Joseph Dixon, creator of BMDP. Elashoff is also the retired Director of the Division of Biostatistics, Cedars-Sinai Medical Center. While at UCLA and Cedars-Sinai during the 1990s, she wrote the program nQuery Sample Size Software (then named nQuery Advisor). 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.[1]

In June 2020, nQuery was acquired by Insightful Science.[2]

Uses

nQuery is used for 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.[3]

nQuery allows researchers to apply both frequentist and Bayesian statistics to calculate the appropriate sample size for their study.[4]


References

  1. Chernick, Michael R.; Friis, Robert H. (2003), Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, Wiley series in probability and statistics, John Wiley & Sons, p. 360, ISBN 9780471458654
  2. Pallmann, Philip; Bedding, Alun W.; Choodari-Oskooei, Babak; Dimairo, Munyaradzi; Flight, Laura; Hampson, Lisa V.; Holmes, Jane; Mander, Adrian P.; Odondi, Lang'o; Sydes, Matthew R.; Villar, SofĂ­a S.; Wason, James M. S.; Weir, Christopher J.; Wheeler, Graham M.; Yap, Christina; Jaki, Thomas (2018). "Adaptive designs in clinical trials: Why use them, and how to run and report them". BMC Medicine. 16 (1): 29. doi:10.1186/s12916-018-1017-7. PMC 5830330. PMID 29490655.

Share this article:

This article uses material from the Wikipedia article NQuery_Sample_Size_Software, and is written by contributors. Text is available under a CC BY-SA 4.0 International License; additional terms may apply. Images, videos and audio are available under their respective licenses.