study designs and measures Flashcards

(30 cards)

1
Q

Define risk

A

Measure of probability of an event occurring in a defined population in a given period of time.
(events/ population at potential risk)

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2
Q

Define risk difference

A

risk in exposed - risk in unexposed. Also known as attributable risk.

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3
Q

Define relative risk

A

Relative risk is a ratio of the probability of an event occurring in the exposed group versus the probability of the event occurring in the non-exposed group.
2 measure: risk ratio and rate ratio.

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4
Q

What is risk ratio?

A

Risk in exposed group / risk in control group (as proportions).

Interpret as: Exposed group have x times greater risk of …… compared to the control group.
RR of 1 = no difference in outcome between the groups.

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5
Q

What is rate ratio?

A

Frequency of events in time period / number at risk of event during time period.

Interpreted like risk ratios,

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6
Q

In what study do we use risk ratio and rate ratios?

A

Cohort and clinical trials

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7
Q

Why can we not use risk ratios in case-control studies? How do we measure risk instead?

A

We do not know what the prevalence is relative to the population at risk.

Instead we use odds and compare groups using odds ratio.

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8
Q

How do we calculate odds ratio?

A

Odds of exposure in cases / odds of exposure in controls (A/C) / (B/D)

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9
Q

In general, how do we interpret odds ratios?

A

In the case group, the odds of exposure to suspected RF is … times greater than than the odds in the controls group. This appears strong evidence of association.

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10
Q

What does an OR of 1.0 mean?

A

An odds ratio of 1.0 means that exposure to the RF is equal in both the case and control groups.

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11
Q

How do you calculate the confidence interval for a risk or rate ratio?

A
  1. lnRR
  2. Standard error
  3. Margin of error (1.96 x SE)
  4. Confidence interval (RR -ME) to (RR + ME)
  5. e^x
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12
Q

What types of data do we use chi squared for?

A

Categorical data

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13
Q

When is chi squared used?

A

For testing hypotheses comparing groups to see whether there is any association between variables.

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14
Q

How does chi square test work>

A

You are comparing what you observe to an idealised prediction model and to see how much our observations differ from our predicted model.

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15
Q

When do you use Fisher’s exact test?

A

Instead of chi squared, when samples are small. 80% of expected values should be greater than 5 and none less than 1.

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16
Q

What is the p-value?

A

The probability that the null hypothesis is correct.

17
Q

What is a cohort study?

A

Two groups, one exposed to RF and one not. Followed over time, see the outcome. See if a RF is causally related to health. Studies development of a disease.

18
Q

What types of research questions can be asked in a cohort study?

A

What is the prevalence of a disease in a population?

What is the relative risk? What is the association between RF and outcome?

19
Q

When would you use a cohort study?

A

To see if exposure to something causes disease.

20
Q

How do you present results of a cohort study?

A

Calculate risk ratio or rate ratio.

21
Q

What are the advantages and limitations of a cohort study?

A

Advantages:

  1. measure development of a disease.
  2. calculate incidence (if prospective) and prevalence
  3. look at multiple exposures
  4. samples not biased by knowledge of outcome
  5. easier to assess cause-effect

Limitations:

  1. time consuming
  2. behavioural changes over time
  3. change in measurement/diagnostic procedures
  4. selection bias
  5. loss to follow-up
  6. attrition bias
  7. not suitable for rare conditions
22
Q

What is a cross-sectional survey?

A

Survey taken at a specific point in time to provide a ‘snapshot’ of a population. Prevalence of a disease, health, attitudes etc.

23
Q

What types of measurements can be used in a cross-sectional survey?

A

questionnaires, diagnostic samples, interviews

24
Q

What types of research questions can you use in cross-sectional studies?

A

Prevalence of ‘insert disease’ in x area.

25
What are the advantages and limitations of cross-sectional surveys?
Advantages: 1. good for prevalence measurement 2. many variables compared at once 3. quick and easy 4. mass data-much data in records 5. good for public health planning 6. primary and secondary outcomes Limitations: 1. temporality- different results at different times e.g. disease with short duration 2. can't measure incidence 3. prone to recall, non-response bias 4. delivery pf questions different amongst administrators 5. self administered surveys 6. difficult to assign causality 7. cluster sampling requires large samples
26
How would you present results of a cross sectional survey?
Different charts | Calculate averages
27
What research questions foes an RCT address?
What is the effect of a specific intervention/therapy? | Establish whether a new intervention is more effective, as good as, inferior to a current one?
28
What is the difference between risk and hazard?
Hazard=something that if you're exposed to it, increases chances of negative outcome. Risk= probability outcome will occur in a stated period of time.
29
Wha is the difference between prevalence and incidence?
Prevalence='event states'. number of people for whom a disease has occurred at a specified point in time. Incidence='onset'. number of people for whom a disease occurs for the first time over a specific period of time.
30
In a case-control study how are cases and controls defined?
Cases: Look for definitions of clinical diagnosis, list criteria needed, indicate time and severity. Controls: Can be compared to cases and are from same population as cases but have no disease.