---
title: Hypothesis Testing Example - GSK COPD Research - Calculate sample size
description: Hypothesis Testing Example - Learn to calculate sample size and use a power analysis calculator for clinical trials. This example focuses on GSK COPD 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: Means | Respiratory

![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")

#### GSK Chronic obstructive pulmonary disease (COPD) Research

#### Title: Once daily inhaled fluticasone furoate and vilanterol versus vilanterol only for prevention of exacerbations of COPD: Two replicate double blind, parallel-group, randomised controlled trials

**Objective: **Whether the combination of a once-daily inhaled corticosteroid with a once-daily longacting β2 agonist is more protective than a once-daily longacting β2 agonist alone against exacerbations of chronic obstructive pulmonary disease (COPD) is unknown. We hypothesised that fluticasone furoate and vilanterol would prevent more exacerbations than would vilanterol alone.

**Year:** 2013

**Source:** Lancet Respiratory Medicine

**Link: [https://www.sciencedirect.com/science/article/abs/pii/S2213260013700407](https://www.sciencedirect.com/science/article/abs/pii/S2213260013700407)**

**Clinical Area: **Respiratory

| **Sample Size Section in Paper/Protocol:** |
| --- |
| “On the basis of previous studies of fluticasone propionate–salmeterol combinations we assumed a yearly exacerbation rate with vilanterol of 1·4 and a dispersion parameter of 0·7. Thus, we calculated that a sample size of 390 assessable patients per group in each study would provide each study with 90% power to detect a 25% reduction in exacerbations in the fluticasone furoate and vilanterol groups versus the vilanterol only group at a two-sided 5% significance level” |

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

|  Parameter | Value |
| --- | --- |
|  Significance Level (2-Sided) | 0.05 |
|  Control Rate | 1.4 |
|  Rate Ratio | 0.75 |
|  Dispersion Parameter | 0.7 |
|  Exposure Time (Years) | 1 |
| Power | 90% |

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

**Step 1:  
**Select the **Two Group Test Comparing Incidence Rates using the Negative Binomial Model **from the Select Test Design & Goal window.

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 13- Img 01- Two Group Test Comparing Incidence Rates using the Negative Binomial Model](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2001-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png?width=579&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2001-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png)

 

**Step 2:  
**Enter the parameter values for sample size calculation taken from the study description.

![Sample Size Calculator Example- nQuery- Example 13- Img 02- Two Group Test Comparing Incidence Rates using the Negative Binomial Model](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2002-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png?width=477&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2002-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png)

**Step 3:  
**Select **Run** to calculate for sample size.

| The analysis calculates a sample size of 390 per group with 90.05% power, as per the study. |
| --- |

**  
![Sample Size Calculator Example- nQuery- Example 13- Img 03- Two Group Test Comparing Incidence Rates using the Negative Binomial Model](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2003-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png?width=434&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2003-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png)**

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

| **Output Statement:** |
| --- |
| The comparison of two event (incidence) rates using a Negative Binomial model with a group 1 sample size of 390 and a group 2 sample size of 390 achieves 90.05% power at the 0.05 significance level when the mean incidence rate in group 1 is 1.4 and the rate ratio is 0.75. This assumes the mean exposure time was 1 and the two groups have a common dispersion parameter of 0.7. This assumes the variance under the null hypothesis was calculated using the (Control Group Rate/True Rates/Maximum Likelihood) method |

 

![Sample Size Calculator Example- nQuery- Example 13- Img 04- Two Group Test Comparing Incidence Rates using the Negative Binomial Model](https://www.statsols.com/hs-fs/hubfs/Master_Images/___PageImages/Worked%20Examples/nQuery%20Example%20Images/Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2004-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png?width=760&name=Sample%20Size%20Calculator%20Example-%20nQuery-%20Example%2013-%20Img%2004-%20Two%20Group%20Test%20Comparing%20Incidence%20Rates%20using%20the%20Negative%20Binomial%20Model.png)

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

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