---
title: Hypothesis Testing Example - Amgen Psoriatic Arthritis Research - Calculate sample size
description: Hypothesis Testing Example - Use nQuery and learn how to calculate sample size and use a power analysis calculator for clinical trials. This example focuses on Amgen Psoriatic Arthritis Research.
image: https://www.statsols.com/hubfs/Master_Images/___HeroBannerImages/nQuery%20Sample%20Size%20Software%20Image.png
---

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# Sample Size Determination Example

## AREA: Proportions | Rheumatology

![nQuery In Use Background Web  Opacity 35](https://www.statsols.com/hs-fs/hubfs/Master_Images/___HeroBannerImages/nQuery%20In%20Use%20Background%20Web%20%20Opacity%2035.png?width=1920&name=nQuery%20In%20Use%20Background%20Web%20%20Opacity%2035.png "nQuery In Use Background Web  Opacity 35")

#### Amgen Psoriatic Arthritis Research

#### Title: Brodalumab, an Anti-IL17RA Monoclonal Antibody, in Psoriatic Arthritis

**Objective: **We assessed the efficacy and safety of brodalumab, a human monoclonal antibody against interleukin-17 receptor A (IL17RA), in a phase 2, randomized, double-blind, placebo-controlled study involving patients with psoriatic arthritis.

**Year:** 2013

**Source:** New England Journal of Medicine

**Link: **[http://www.nejm.org/doi/full/10.1056/NEJMoa1315231  ](http://www.nejm.org/doi/full/10.1056/NEJMoa1315231)

**Clinical Area: **Rheumatology

| **Sample Size Section in Paper/Protocol:** |
| --- |
| “We determined that a sample size of 156 patients with a 1:1:1 randomization ratio would provide a power of more than 80% at a two-sided significance level of 0.05 (as calculated with the use of the chi-square test), assuming ACR 20 response rates of 50% in the Brodalumab 280-mg group and 23% in the placebo group at week 12.” |

**  
Summary of Necessary Parameter Estimates for Sample Size Calculation:**

|  Parameter | Value |
| --- | --- |
|  Significance Level | 0.05 |
|  Expected Placebo Mean | 0.23 |
|  Parameter 3 | 0.5 |
|  Sample Size Per Group | 52 |
|  Target Power (%) | >80 |

#### **Email me this example in PDF format**

**Step 1:  
**Select the table ***Compute Power or Sample Size for Two-Sample Chi-Squared Test ***from the Select Test Design & Goal window.

This is located under the Chi-Squared Test to Compare Two Proportions dropdown.

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.

![Sample Size Calculator Example- nQuery- Example 17- Img 01- Compute Power or Sample Size for Two-Sample Chi-Squared Test](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2001-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png?width=742&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2001-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png)

**Step 2:****  
**Enter the parameter values for power calculation taken from the study protocol.

![Sample Size Calculator Example- nQuery- Example 17- Img 02- Compute Power or Sample Size for Two-Sample Chi-Squared Test](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2002-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png?width=801&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2002-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png)

Enter the sample size of 52 per group as per study design.

Select ***calculate the power from*** the dropdown menu.

**![Sample Size Calculator Example- nQuery- Example 17- Img 03- Compute Power or Sample Size for Two-Sample Chi-Squared Test](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2003-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png?width=802&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2003-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png)**

**Step 3:  
**With the Sample Size per Group entered, select **Calculate the power** from the dropdown menu and** click Run**.

| This gives 80% power, as per the study design |
| --- |

 

**![Example 16 Img 04](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Example%2016%20Img%2004.png?width=702&name=Example%2016%20Img%2004.png)**

**Step 4:  
**Once the calculation is completed, nQuery Advanced provides an output statement summarizing the results. It States:

| **Output Statement:** |
| --- |
| ***“****A two group χ² test with a 5% two-sided significance level will have 82.57% power to detect the difference between a Group 1 proportion, π₁, of 0.23 and a Group 2 proportion, π₂ of 0.5 (odds ratio of 3.348) when the sample size in each group is 52.****”*** |

 

![Sample Size Calculator Example- nQuery- Example 17- Img 05- Compute Power or Sample Size for Two-Sample Chi-Squared Test](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2005-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png?width=783&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2017-%20Img%2005-%20Compute%20Power%20or%20Sample%20Size%20for%20Two-Sample%20Chi-Squared%20Test.png)

#### **Email me this example in PDF format**

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