Biostats Flashcards

1
Q

Relative risk equation?

A

RR = risk of an outcome in an exposed group/ risk of the same outcome in an non exposed group

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

What is a cross sectional analysis and what is it used for?

A

Data gathers at one point in time
Can determine prevalence of an outcome in a population
Identify specific risk factors and help generate hypothesis for further research

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

False negative equation?

A

FN = 1- sensitivity x number of pts who truly have the disease

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

True positive equation?

A

TP= Sensitivity x number of patients who truly have the disease

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

Meta analysis

A

Groups results of several trials to increase statistical power and provide overall pooled effect estimates

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

How to determine if CI is statistically significant

A

For odds ratio and relative risk the null value is 1 ( as long as CIS do not cross the null value it is statistically significant)

For difference the null value is 0

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

Two sample test

A

Statistical method to compare the means of 2 groups of subjects

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

P value in a study with a large number of pts

A

A smaller p value is used to decrease the risk of of false positive results

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

Precision of test

A

Precision ( reliability) is the ability of the test to reproduce identical results with repeated measurements

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

Health promotion

A

Is an e.g of 1o prevention
Enabling people to control their health and determinants

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

Observer bias

A

Occurs with the investigator’s evaluation is affected by preconceived expectations or prior knowledge leading to overestimation

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

Independent event probability

A

If you have multiple independent events you multiply the probability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Prospective cohort study

A

Patients are selected on their exposure status and followed up over time for development of disease

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

Risk equation

A

Risk of developing the disease with exposure/ all subjects who were exposed

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

Main purpose of blinding in a study is to prevent

A

Observer bias by either pt or researcher

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

Area under the curve

A

The more accurate a test is ( high sensitivity and specificity) the closer AUC value is to 1

17
Q

The average of a dataset of values

A

Equivalent to mean
Total number of episodes/total number of pts

18
Q

Allergic contact dermatitis features

A

Type IV hypersensitivity reaction
Intercellular epidermal oedema, with infiltration of lymphocytes and eosinophils

19
Q

Reducing significance set alpha in a study will lead to

A

Any significant findings will be reported with greater confidence

Decreased significance level = increased confidence level

20
Q

Cross sectional study

A

Exposure and outcome measured simultaneously at a particular point in time
Prevalence study

21
Q

Positively skewed curve relationship between mean, median and mode

A

Mode is closer to the middle and mean closer to tail ( RT tail)
Median in the middle
Mode <median < mean

22
Q

Attack rate equation

A

Number of people who contact an illness/ number of people who are at risk of contracting that illness

23
Q

Prevalence can be increased by

A

Incidence or prolonged disease duration

Prevalence = incidence x disease duration

24
Q

Normal distribution mean and median

A

In a normal distribution curve mean and median are equal therefore 50% of observations will lie below the mean and 50% above

25
Q

Lead time bias

A

When a test diagnoses a condition earlier than conventional causing an apparent increase in survival time but no improvement on actual time to mortality

26
Q

Negative predictive value

A

Probability that an individual doesn’t have the disease given a negative result

NPV= TN/ TN+FN

27
Q

Misclassification bias

A

Incorrect categorization of subject re: their outcome status or both

28
Q

Hawthorne effect

A

Tendency of the study subjects to change their behaviour as a result of awareness that they are being studied

29
Q

Greatest preventive intervention in almost all patients

A

Smoking cessation

30
Q

T test ( paired t test )

A

Compares the mean of 2 groups
Quantitative test

31
Q

Precision and accuracy

A

High precision it consistently provides same or similar value
High accuracy test provides measurements see or similar to actual value

32
Q

Absolute risk reduction

A

Event rate in control group - event rate in the treatment group

Event rate in treatment= # of event in treatment arm / # of subjects

33
Q

Absolute risk increase

A

Difference in the rate (risk ) of the adverse event between treatment and control group

ARI= Rate AE treatment - Rate AE control

34
Q

Number needed to harm

A

NNH= 1/ ARI