Misc Flashcards

1
Q

Difference between ratio and proportions

A

proportions are related i.e. numerator is part of the denominator
Ratios are not related

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2
Q

Rate

A

Rate = n/N * 10n (constant population)

n/N is a proportion

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3
Q

Prevalence = Incidence x duration of disease

A

Similar if incidence high and duration short e.g. influenza

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4
Q

Case control

A

Looks at outcome (disease), then retrospective attributable factros

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5
Q

Cohort study

A

Looks at risk factor, prospective study

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6
Q

Confounder

A
  1. an independent risk factor for the outcome of interest; i.e. it must be a risk factor for the outcome even in the absence of the study factor, based on current knowledge;
  2. associated with the study factor, in the data being analysed; and
  3. not simply an intervening factor between the study factor and outcome; and
  4. not part of the study hypothesis.
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7
Q

Cross-sectional study

A

study that examines the relationship between diseases (or other health related characteristics) and other variables of interest as they exist in a defined population at one particular time. The temporal sequence of cause and effect cannot necessarily be determined in a cross-sectional study.

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8
Q

Epidemic

A

The occurrence of disease clearly in excess of the level that is accepted as normal (ie the endemic level).

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9
Q

Odds ratio

A

The ratio of the odds of an event in an exposed group to the odds of an event in the control group. Most commonly used as the effect measure in a case-control study.

When the incidence rate is small, odds ratios are very similar to relative risks.

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10
Q

Phase I Trial

A

Usually performed on healthy volunteers without a comparison group to determine toxicity and appropriate dosing.

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11
Q

Phase II Trial

A

looking for preliminary evidence of efficacy. Often performed on healthy volunteers. These are sometimes randomised controlled trials.

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12
Q

Phase III Trial

A

Studies that are a full-scale evaluation of treatment. After a drug has been shown to be reasonably effective, it is essential to compare it to the current standard treatments for the same condition. Phase III studies are usually randomised controlled trials.

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13
Q

Population attributable risk

A

The incidence of a disease in a population that is associated with exposure to the risk factor. It is equal to the incidence rate in the entire population minus the incidence rate in the non-exposed.
PAR = Ipop − IU

Note: to use this formula, the incidence of disease in the total population (not study population) must be known

OR PAR = Attributable risk x Prevalence of exposure in the population =(IE –IU)×pe

Where pe = proportion of exposed individuals in the total population (i.e. convert percentage to proportion for the calculation)

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14
Q

Population attributable risk percent/fraction (aetiologic fraction)

A

The percentage of total disease incidence that is attributable to the exposure.

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15
Q

Sensitivity

A

The proportion of people with a characteristic who are assessed as having it by the measuring device or test

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16
Q

Specificity

A

The proportion of people without a characteristic who are assessed as not having it by the measuring device or test.

17
Q

Statistical power

A

The probability that the null hypothesis will be rejected if it is indeed false. In studies of the effectiveness of healthcare interventions, power is a measure of the certainty of avoiding a false negative conclusion that an intervention is not effective when in truth it is effective.

18
Q

Rate

A

An expression of how frequently an event occurs per head of population over time.

19
Q

Rate ratio

A

The ratio of the incidence rate in one group to the incidence rate in another. Although sometimes called a relative risk or risk ratio, rate ratio is the ratio of two rates, and risk ratio (or relative risk) is the ratio of two risks. The terms are frequently used interchangeably in the epidemiological literature, but strictly speaking they should not be. Although usually applied to incidence, you may see the term prevalence rate ratio for the ratio of one prevalence rate to another. A relative risk or rate ratio of one indicates no difference between comparison groups.

20
Q

Absolute risk is a statement that expresses the probability of a disease (or some other outcome of interest) occurring in the population. It is the same as the cumulative incidence of the disease and calculated in the same way.

A

For example, if 30 of 1000 heavy smokers (Exposed) developed lung cancer (Outcome) over a 10- year period, then the absolute risk (or probability) of lung cancer in this population would be 0.03 (= 30/1000) over 10 years.
This could also be expressed as an incidence rate i.e. 0.003 cases of lung cancer per year, or 300 cases per 100,000 population per year; or as an incidence density rate i.e. 300 cases per 100,000 person-years.

21
Q

Rate Ratio (Relative Risk) = IE / IU

A

where IE = incidence in exposed
IU = incidence in unexposed
IE = deaths among exposed total exposed
= a / (a+b) = 8 / 50 = 0.16
IU = deaths among unexposed total unexposed
=c/(c+d)= 5/50=0.10
Therefore the Rate Ratio = 0.16 / 0.10 = 1.6

22
Q

Odds ratio

A

An approximation of the rate ratio (relative risk) is the odds ratio (OR). The odds ratio is used as the measure of association in studies in which incidence rates (i.e. speed at which new cases occur) cannot be measured, such as in a case-control study. Because cases and controls are selected on the basis of having or not having a disease, it is not possible to measure disease incidence rates in a case-control study, and therefore the rate ratio cannot be calculated.

The odds ratio is a measure that compares the odds (or likelihood) of exposure to a factor of interest among those with disease (cases) and the odds of exposure to the same factor among those who do not have disease (controls).

23
Q

Attributable risk

A

Ie-Iu

AKA RR-1

Incidence is used to estimate the Attributable Risk (AR=IE – IU), therefore, AR cannot be directly estimated from a case-control study because incidence cannot be calculated from a case-control study

24
Q

Attributable risk percentage

A

AR% =
Attributable risk Incidence in exposed (IE)
= (IE -IU)/IEx100
= RR-1/RRx100

For case-control studies, an indirect estimate of AR% can be calculated from the OR

AR% = ((OR-1) × 100)/OR

25
Q

Type I error

A

False rejection of H0

While type I error is synonymous with sensitivity or false positives

26
Q

Type II error

A

False acceptance of H0
Type II error is synonymous with power, i.e. a false negative rate.
The way to minismise Type II errors is
o Bigger real difference between the groups
o More patients
o More events
o Less random measurement error

27
Q

Power

A

1-probability of making a Type II error

28
Q

Levels of evidence

A

Ia- evidence from meta-analysis of randomised controlled trials

Ib- evidence from at least one randomised controlled trial

IIa- evidence from at least one well designed controlled trial which is not randomised.

IIb- evidence from at least one well designed experimental trial

III- evidence from case, correlation and comparative studies.

IV- evidence from a panel of experts.

Grade of recommendations:

Grade A- based on evidence from at least once RCT (Ia,Ib)

Grade B- based on evidence from non-RCT (IIa,IIb,III)

Grade C- based on evidence from a panel of experts (IV).

29
Q

Relative risk reduction

A

(RRe-RRi)/RRe