CE Flashcards

1
Q

Name the types of variables

A

Numerical

Categorical

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Can a variable be both a numerical and a categorical?

A

Yes numerical values can be put into categories, however categorical values cannot be changed to numerical value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Name the variable 2 types of numerical variables

A

Continuous variable

Discrete variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Which variable is presented in a frequency table

A

Categorical variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Name the 2 types or Categorical vaiables

A

Ordered categorical

Unordered categorical

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is a binary/ dichotomous variable

A

This is a type of unordered categorical variable that only has 2 groups.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

When do we use a histogram rather than a bar chart?

A

When the variable is numerical

Bar charts and frequency tables are used for categorical data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is another term for RISK?

A

Cumulative incidence

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is the difference between risk and prevalence

A

Prevelance shows the amount of disease at a particular time whereas the risk talks about the number of new cases over a period of time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is the equation for 95% reference range?

A

mean +/- ( 1.96 X Standard Deviation)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is an interventional study

A

This is where the investigator assesses whether changing/ modifying something affects the progression of a patients disease.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Name 3 observational studies

A
Case-control
Cohort study
ecological
descriptive
cross sectional
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Define accuracy

A

Relates to how representativethe sample is to the true population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Define Precision

A

Relates to the amount of variation between the sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Name the types of bias (internal validity)

A

Selection bias

Measurement bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Define Standard deviation

A

A measure of the

spread of observations around the mean

17
Q

Define standard error

A

Measures the precision of the sample mean as an estimate of the populaton mean

18
Q

What is the equation for SEM?

A

SEM= SD / √N

19
Q

What is the equation for 95% Confidence interval?

A

CI = (statistic) +/- (1.96 x SE)

20
Q

When do you use a Reference range and not a Confidence interval

A

RR measures the variation between individual observations in the sample, whereas CI shows the variation in a group of individuals

21
Q

List the 3 criteria for a variable to be a confounder?

A
  1. Associated with the exposure
  2. Be a risk factor for the disease
  3. Must not be on the causal pathway between disease and exposure
22
Q

On what occasion would the Risk ratio and Odds ratio be similar

A

When the disease is rare

23
Q

Define case-control study

A

When individuals are recruited on the basis of their outcome/ disease and then their past exposure is investigated AND a control group is picked with similar properties but no disease

24
Q

Name the types of cohort studies

A

Historical

Prospective

25
What is a prospective cohort study?
When a sample of people with a certain criteria are picked and then followed up over a couple of years to see if the outcome develops.
26
What is a historical cohort study?
Subjects who already have the outcome are selected and researchers try and investigate their past exposure. (No control group with no disease)
27
How can a variable be classed as a confounder?
1. Associated with the exposure 2. Risk factor for the disease 3. Must not be on the causal pathway between Exposure and disease
28
How to remove confounders?
1. Randomisation- | 2. Exclusion: use subjects from the same criteria- e.g same social class
29
What is a Multivariable model?
It's a model that takes into account the effects of many different confounders
30
Name the models that combine association estimates after stratification.
1. Mantel-haenszel methods | 2. Regression models
31
What are correlation and linear regression used for?
Models that are used to investigate the association between two numerical variables
32
What is the regression line?
The line/equation which best describes the relationship between 2 variables.