How descriptive statistics are used in clinical practice

How are statistics used in clinical research?
The use of statistics allows clinical researchers to draw reasonable and accurate inferences from collected information and to make sound decisions in the presence of uncertainty.
Mastery of statistical concepts can prevent numerous errors and biases in medical research..
Types of descriptive statistics
Descriptive statistics helps researchers and analysts to describe the central tendency (mean, median, mode), dispersion (range, variance, and standard deviation), and shape of the distribution of a dataset.
It also involves graphical representation of data to aid visualization and understanding..
What are some possible uses of descriptive statistics in a healthcare setting?
Descriptive statistics can also come into play for professionals like family nurse practitioners or emergency room nurse managers who must know how to calculate variance in a patient's blood pressure or blood sugar.
Moreover, in a family clinic, nurses might analyze the body mass index (BMI) of patients at any age..
What is the use of descriptive statistics in healthcare?
Virtually any quantitative data can be analyzed using descriptive statistics, like the results from a clinical trial related to the side effects of a particular medication.
Descriptive statistics expressing a measure of central tendency might show the mean age of people who tried the medication was 37..

Descriptive statistics allow us to examine trends limited to typical values, spread of values and distributions of data. ANOVAs and t tests are methods to test whether means are statistically different among groups and what those differences are.

Thus, the main aims of descriptive statistics are to explore the research data, identify data distribution, detect errors, and reveal unusual values (outliers). Descriptive statistics also helps to assess the proportion of missing data and bias.

How can statistics be used descriptively?

Statistics can be used descriptively to illustrate the characteristics of a group of observations i

e the raw data; this is called descriptive statistics

10 In statistical terms, there are different levels of measurement for scoring variables

There are two main categories: In such instances, only two outcomes or measurements are possible

Healthcare professionals often calculate the following descriptive statistics for a given individual: Mean resting heart rate. Mean blood pressure. Fluctuation in weight during a certain time period. Using these metrics, healthcare professionals can gain a better understanding of the overall health of individuals.Quantitative research guides health care decision makers with statistics--numerical data collected from measurements or observation that describe the characteristics of specific population samples. Descriptive statistics summarize the utility, efficacy and costs of medical goods and services.Health statistics are used to understand risk factors for communities, track and monitor health events such as diseases, see the impact of policy changes, and assess the quality and safety of health care. Health statistics are a form of evidence or facts that can support a conclusion.

How descriptive statistics are used in clinical practice

How are statistics used in clinical research?

Types of descriptive statistics

What are some possible uses of descriptive statistics in a healthcare setting?

What is the use of descriptive statistics in healthcare?

How can statistics be used descriptively?