HADPOP Flashcards

1
Q

What is a forest plot?

A

An aide to meta-analyses which pools the results of all the studies to give one, overall result

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2
Q

Why is a higher weighting given to larger studies in forest plots?

A

They often have a lower standard deviation, which is the criterion for weighting

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3
Q

What is heterogeneity?

A

Two studies that measure the same thing and have similar results

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4
Q

Why would a random effects model be used over a fixed effect model in forest plots?

A

The heterogeneity is low. Random effects models allow for future hypothetical results

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5
Q

What test is used for publication bias?

A

A line is drawn through the odds ratios of the CONCLUSIVE studies and reflected onto the inconclusive side. A gaping hole indicates publication bias

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6
Q

How often are censuses conducted?

A

Every ten years

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7
Q

What data can be drawn from a census?

A

Unemployment, overcrowding, single parents, basic amenities

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8
Q

Give the three measures of fertility

A

Crude Birth Rate - live births per 1,000
General Fertility Rate - live births per 1,000 fertile females
Total Period Fertility Rate - the number of births every year the average fertile woman would have. Integers indicate a birth

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9
Q

What is the replacement level in the western world?

A

2.07

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10
Q

Give the rough equation for prevalence of disease

A

Incidence x length of disease

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11
Q

What is the Standardised Mortality Rate?

A

The comparison in expected deaths between two populations if the age-sex distributions were identical

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12
Q

What is relative risk?

A

How much more/ less likely am I to suffer a disease compared to him/her?

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13
Q

What is absolute risk?

A

What is my lifetime risk of having a heart attack?

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14
Q

Define confounding factors

A

A factor that is related to both the exposure and the outcome. Can skew results and cannot be gotten rid of

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15
Q

What is the p value?

A

When the null hypothesis is true, the p value is the probability that the observed results would be consistent with this

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16
Q

When the p value is below 0.05, what statement do we say about the null?

A

The observations are significant

17
Q

When the p value is above 0.05, what can we say?

A

There is insufficient evidence to reject the null

18
Q

Give the equation for error factor

A

Exp( 2 x (root (1/new cases)))

19
Q

The incidence rate ratio is inferred from what type of study?

A

Cohort

20
Q

The incidence rate ratio is a type of what broader type of risk?

A

Relative risk

21
Q

The standardised mortality ratio is susceptible to what type of bias?

A

Selection. The selected population may not be appropriate for comparison

22
Q

What is survivor bias in the case of a cohort study?

A

A number of people within one group die so, in the later stages, you are comparing the fitter subset of the group

23
Q

Give the advantages of cohort studies

A

Establishing temporal sequence
Studying a rare exposure
Studying a range of outcomes

24
Q

Give the disadvantages of cohort studies

A

Labour intensive/ time consuming
Poor at studying rare outcomes
Susceptible to confounding

25
Q

Why are case control studies used?

A

To infer causality
For rare diseases
Cheap

26
Q

What biases are common in case-control studies?

A

Information- people wrongly remember their exposure

Selection - the controls are inappropriately selected

27
Q

What is a nested case-control study?

A

A cohort study that holds a case-control within it as people start to develop disease and their exposures can be assessed retrospectively

28
Q

What equation gives the odds ratio?

A
AD/BC
A - exposed cases
B - exposed controls
C - unexposed cases
D - unexposed controls
29
Q

What are Koch’s three postulates of disease?

A

Necessary - the cause always precedes the disease
Specific - the cause only gives that disease and no other
Sufficient - the cause on its own gives the disease

30
Q

Give the nine Bradford-Hill criteria for disease

A
Association features
- strength of association
- specificity of association
- consistency of association 
Exposure/ outcome features
- temporal sequence
- dose response
- reversibility
Other evidence
- coherence of theory
- biological plausibility
- analogy
31
Q

RCTs reduce what type of bias?

A

Allocation - people are intentionally put in one subset based on perceived health and possible results

32
Q

How do RCTs reduce confounding?

A

The groups are picked randomly so, theoretically, the confounding affects both equally

33
Q

What is the placebo effect?

A

People get better for taking a pill that has no biological mechanism

34
Q

What bias is the basis for blinding in RCTs?

A

Measurement - if the assessor knows the treatment allocation, they might change their outcome assessment

35
Q

How do we reduce losses to follow-up?

A

Maintain contact with participants
Avoid coercion
Be honest about commitment required
Make follow-ups practical for participants

36
Q

What are the two ways that we can assess RCT results?

A

As treated - those who actually took the drug

Pragmatic/ intention to treat - those who were given the drug (some may not have actually taken it)

37
Q

Give the four bases of trial ethics

A

Beneficence, non-maleficence, justice and autonomy

38
Q

What aspects are assessed for ethics?

A
Clinical equipoise
Scientifically robust
Ethical recruitment 
Valid consent
Voluntariness of participants