Using data to make a clinical decision

Question 1

What are the different parts of quantitive data analysis?

Answer 1

Cleaning and organising data
Summarising data
Presenting data

Question 2

Whats the difference between a normal range and a reference range?

Answer 2

Reference range: descriptions of data derived from a sample of a reference population. A reference population has characteristics that have been carefully defined with regard to age and gender and when relevant, other b=variables such as state of health, ethnic origin and physiological status (e.g. pregnant?)

Normal range: less strictly defined terms than a reference range. Its generally used to mean a range derived from a healthy population

Question 3

What guides data analysis?

Answer 3

The research question the data is trying to answer and the hypothesis to be tested

Question 4

What contributes to the validity of a dataset?

Answer 4

A data sets validity is related to its accuracy and precision in representing the population it is referring to.

Question 5

How do you handle outliers?

Answer 5

You may be able to delete but you may also need to keep them in the analysis
Some outliers are clearly a case of mistake in the data collection- in this case it is justified to not consider them for the analysis