Epidemiology and Lessons from Humans Flashcards

1
Q

Define biostatistics

A

Biostatistics is application of statistical methods in biology, medicine and public health

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2
Q

Define Epidemiology

A

Epidemiology is the study of patterns ofhealthand illness and associated factors at thepopulationlevel

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3
Q

Define an Observational based study

A

Studies that do not involve any intervention or experiment

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4
Q

Define an Experimental study

A

Studies that entail manipulation of the study factor (exposure) and randomization of subjects to treatment (exposure) groups

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5
Q

Define the Null Hypothesis

A

Also known as H0 - there is no association between a risk factor and the outcome

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6
Q

Define the Alternative hypothesis

A

Also known as Ha - there is an association between a risk factor and the outcome

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7
Q

Define and describe a Type 1 error

A

A false positive - error of rejecting a null hypothesis that is actually true
Pregnant woman isn’t pregnant but test says she is

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8
Q

Define and describe a Type 2 error

A

False negative - error of failing to reject a false null hypothesis when it is false
Pregnant woman is pregnant but test say she isn’t

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9
Q

Define a Case-Control

A

Selects based on disease status, then looks back at exposure

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10
Q

Define a cohort study

A

Selection into study on basis of exposure status, then follow over time

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11
Q

Define a confounding variable

A

extraneous variable that correlates with both the dependent variable (lung cancer) and the independent variable (yellow fingers)

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12
Q

Explain how chance invalidates a study

A

Often due to inadequate sample size so that the hypothesis should not be rejected (Type II error)

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13
Q

Explain how systematic Bias invalidates a study

A

A conclusion may be erroneous if it is Biased: that is, the conclusion is calculated in such a way that it is systematically different from the population parameter of interest

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14
Q

State two forms of Bias

A

There are different sources of Bias, including Selection Bias (asking people on the street to answer a question) and Measurement Bias (such as the classic 1963 Rosenthal and Fode “maze-smart” rat experiment)

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15
Q

Explain how confounding can invalidate a study

A

Example - Yellow Fingers cause Lung Cancer, so we must stop people from having Yellow Fingers!

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16
Q

Explain what a randomised controlled trial is

A

Exposure is assigned randomly - basis on which groups are formed at beginning of the study is random

17
Q

State the 7 ethical requirements of a study

A

Social or scientific value
Fair subject selection
independant review
scientific validity
Favourable risk-benefit view
Informed consent
Respect for enrolled subjects

18
Q

Define Equipoise

A

That there is genuine uncertainty in the expert medical community over whether a treatment will be beneficial. This indicates that the answer is not known and needs to be known

19
Q

State the role of the Data safety monitoring Board

A

It monitors a trial to see if it should be stopped early - if one group is doing much better than the other

20
Q

Define what is Relative Risk

A

Compares which event is risk is risker

21
Q

Define Relative Risk reduction

A

?

22
Q

Define Odds Ratio

A

How well is Group A is doing in comparison by Group B

23
Q

Define Absolute risk difference

A

Risk of A - Risk of B

24
Q

Define number needed to treat

A

The value means for every x people you’d expect one case