The latest release of nQuery Sample Size & Power Calculation Software
With nQuery Advanced, researchers can still use the familiar layout and input methods of nQuery, but now with an expanded feature list and a greatly enhanced user experience.
nQuery Advanced Highlights
Expanded Survival Analysis Suite 17 new tables including one and two sample log rank tests, Gehan-Breslow and Tarone-Ware linear-rank tests
Automated Installation & Operational Qualification (IQ/OQ) Procedures New IQ and OQ tools simplify the process of validating nQuery in regulated industries
Extended Cluster Randomized Trial Suite New tables for two means, proportions & incidence rates (matched pairs) and two incidence rates (completely randomized)
Modernized Interface, Auto-updates, New nQuery Community & much more
nQuery Bayes Highlights
Optional Add-On Module For Alternative Sample Size Methods
Additional Sample Size Tables
One Sample Bayesian Credible Interval with Known Precision
One Sample Bayesian Credible Interval with Unknown Precision
One Sample Mixed Bayesian Likelihood Average Coverage Criterion with Unknown Precision
Two Sample Bayesian Credible Interval with Known Precision
Two Sample Bayesian Credible Interval with Unknown Precision
Assurance for Two Group Test of Normal Means
Assurance for Equivalence Test of Two Normal Means
Assurance for Non-inferiority Test of Two Normal Means
Check out some examples of the new nQuery Advanced in action below. For the full webinar click please click here.
Two Sample Log-Rank Test Assuming Exponential Survival
Used to compare two exponential survival curves from two independent samples using the log-rank test.
This is a common Phase III trial design particularly in areas such as oncology and cardiology. Accrual time, follow-up time and hazard rates are among the user-determined parameters.
Updated Log-Rank Test Method and Gehan-Breslow and Tarone-Ware Linear-Rank Tests
Used to compare two exponential survival curves from two independent samples using the log-rank, Gehan-Breslow or Tarone-Ware linear-rank tests.
This is a common Phase III trial design particularly in areas such as oncology and cardiology. Accrual time, follow-up time, per group loss-to-follow up rate, non-compliance, drop-in and hazard rates are adjustable parameters.
One Sample Log-Rank Test
Used to compare the survival curve of a single treatment group to that of a historic control.
This is a feature of phase-II trials with survival endpoints. Accrual time, follow-up time and hazard rates are parameters that can be adjusted by the user.
New Installation Qualification and Operational Qualification Feature
IQ/OQ (Installation Qualification & Operational Qualification) are a vital part of the software cycle in regulated industries such as pharmaceuticals and biotechnology.
nQuery’s new IQ and OQ tools have completely simplified the process of validating nQuery.
Introducing nQuery Bayes
Optional add-on module for alternative sample size methods
Assurance for Two Group of Normal Means (available in nQuery Bayes)
Bayesian Analysis continues to grow in popularity in statistical analysis in clinical trials
This particular table in the nQuery Bayes Add-on Module offers the ability to integrate domain knowledge and prior study data for more efficient and accurate testing.
Ready to update to nQuery Advanced?
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