Example Of Descriptive Statistics In Healthcare. Descriptive statistics summarize the utility efficacy and costs of medical goods and services. So lets look at a set of data for 5 numbers. This article covers three main areas. Practical application of descriptive statistics To put all of this information into perspective heres an example of how these measures can be used in a clinical setting.
Inferential Statistics refers to a discipline that provides information and draws the conclusion of a large population from the sample of it. Increasingly health care organizations employ statistical analysis to measure their performance outcomes. This article is the first in a series of three that will give health care professionals a sound and helpful introduction to medical statistics. Descriptive statistics summarize the utility efficacy and costs of medical goods and services. Each of these parameters also called variables has a specific parameter value gender male age 30 years weight 70 kg for each observation unit for example the patient. Womens Health Survey Descriptive Statistics Let us take a look at an example.
This article is the first in a series of three that will give health care professionals a sound and helpful introduction to medical statistics.
Descriptive statistics include types of variables nominal ordinal interval and ratio as well as measures of frequency central tendency dispersionvariation and position. Womens Health Survey Descriptive Statistics Let us take a look at an example. This article is the first in a series of three that will give health care professionals a sound and helpful introduction to medical statistics. Hospitals and other large provider service organizations implement data-driven continuous quality improvement programs to maximize efficiency. A rural primary care clinic has a high percentage of patients with diabetes whose glycated hemoglobin HbA1c levels are greater than 7 uncontrolled HbA1c and body mass index BMI is over 30. Statistics is the science of collection tabulation analysis and interpretation of data.