An open portfolio of interoperable, industry leading products
The Dotmatics digital science platform provides the first true end-to-end solution for scientific R&D, combining an enterprise data platform with the most widely used applications for data analysis, biologics, flow cytometry, chemicals innovation, and more.
Step 1:
Select the ‘One ROC Curve’ table from the Select Test Design & Goal window as pictured below.
This can be done using the radio buttons or alternatively, you can use the search bar at the end of the Select Test Design & Goal window.
Step 2:
Enter the parameter values for sample size calculation taken from the study design.
Step 3:
Select “Calculate required overall sample size given the sample size ratio (N-/N+) for a given power”, click the “Run” button to solve for the sample size.
| This gives a sample size of 59 positive cases and 29 negative cases as per the study Design |
Note: When using nQuery Advanced, both the Positive and Negative Sample Size will be auto-calculated once the Power (%) value is entered.
Step 4:
Once the calculation is completed, nQuery Advanced provides an output statement summarizing the results. It States:
| Output Statement: |
|
“In a two sided test comparing the area under the ROC curve (AUC) to a reference value for continuous response data using a z-test approximation, a sample size of 59 from the positive group (with the condition) and a sample size of 24 from the negative group (without the condition) achieves 85.28% power at the 5% significance level when the AUC under the null hypothesis is 0.5 and the AUC under the alternative hypothesis is 0.7.” |
