critical numbers Flashcards

(57 cards)

1
Q

what is prevalence probability?

A

probability of having a disease at a given point in time

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2
Q

what is incidence probability?

A

probability of getting a disease during a specified poit in time

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3
Q

what is the length-time bias?

A

conditions with a longer duratoon are more likely to be captured in prevalence

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4
Q

if risk of X given: drug A = 0.6 and drug B = 0.2 what is the risk difference?

A

0.6-0.2 = 0.4 (40%)

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5
Q

if risk of X given: drug A = 0.6 and drug B = 0.2 what is the risk ratio?

A

=3

3 times the risk

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6
Q

if risk of X given: drug A = 0.6 and drug B = 0.2 what is the relative risk difference?

A

200%

((a-b)/b) *100 = 200%

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7
Q

relative risk ____ the risk

A

relative risk exaggerates the risk, they do not indicate a baseline

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8
Q

what is number needed to treat/harm?

A

indicates the potential benefit of a clinical intervention

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9
Q

what type of study uses routinely collected data to show trends and generate hypotheses?

A

ecological

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10
Q

what type of study divides a population into those with the disease and those without and collects data at a single point in time?

A

cross-sectional study

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11
Q

what type of study matches people with a disease to those without for age, sex, habits, class etc.?

A

case-control study -retrospective

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12
Q

what type of study studies a population to see if they’re exposed to the agent in question and if they develop the disease?

A

cohort study - prospective

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13
Q

give 3 advantages of an ecological study?

A

1) uses routine date and so is quick and cheap
2) few ethical issues
3) useful for generating hypotheses

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14
Q

give 3 disadvantages of an ecological study

A

1) cannot show causation
2) inconsistency in data presentation
3) bias - variation in diagnostic criteria

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15
Q

give 4 advantages of a cross-sectional study

A

1) can give rapid insight into events within a population
2) few ethical issues
3) good for generating hypotheses
4) quick and cheap

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16
Q

give 3 disadvantages of a cross-sectional study?

A

1) prone to bias
2) no time bias
3) could be reporting medical oddities

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17
Q

give 3 advantages of a case-control study

A

1) quick - results can be obtained quickly (retrospective)
2) cheap
3) usually a small number of people required to produce statistically significant results

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18
Q

give 3 disadvantages of a case-control study?

A

1) retrospective date may be unreliable - selective memory
2) shows association but not causation
3) prone to selection and information bias
4) cannot calculate incidence

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19
Q

give 3 advantages of a cohort study?

A

1) can calculate incidence and so find relative and abs risk
2) reduced chance of bias - exposure measured before disease develops
3) can distinguish causes from associated factors

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20
Q

give 3 disadvantages of a cohort study?

A

1) expensive - long time and large population
2) causation cannot be calculated - control study is needed for this
3) often difficulties with follow-up

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21
Q

give 3 advantages of a RCT?

A

1) confounders are equally balanced
2) blinding minimises bias
3) statistical tests are easier when confounders are minimised

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22
Q

give 4 disadvantages of a RCT

A

1) expensive - large populations
2) poor compliance can mean statistical tests lose their power
3) volunteer bias
4) ethical difficulties in withholding treatment from control groups

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23
Q

what does presence of bias in a set of results imply?

A

the results of the study are not accurate

24
Q

will the standard error in a set of results be big or small if the precision is good?

A

there will be small standard error

25
what are confounding factors?
factors that can affect the validity of a study | they may be responsible for the results seen
26
what should a good study have?
randomisation of participants to interventions (reduces bias/confounding) show causation rather than association have outcome measures (results) for atleast 80% of the population
27
define systematic review
systematic methods are used to identify, select and analyse relevant research in order to answer a specific question
28
give 2 examples of non-random sampling?
convenience sampling | purposive sampling
29
what is number needed to treat?
the number of patients that need to be treated in order to have an impact on one person
30
is a test significant if the 95% confidence interval contains zero?
no it is not significant
31
how can you calculate the NNT?
1/risk difference
32
what is nominal data?
a qualitative classification of data - a naming system
33
what is ordinal data?
when data has numerical scores existing in order
34
what is binary data?
data that can only take one of 2 possible states e.g. daed or alive
35
what is discrete data?
finite number of values e.g. number of people living in a house
36
what is continuous data?
data that can take any value e.g. height
37
what is linear regression used for?
estimating mean differences between groups
38
what is logistic regression used for?
binary outcomes, it models and odds ratio
39
what is poisson regression used for?
it models rate ratios
40
what is cox regression used for?
models hazard ratios
41
define morbidity
suffering from a disease
42
if the prevalence of a disease is low, what affect does this have on false negatives ?
number of false negatives will decrease | NPV will increase and PPV will decrease
43
what is association?
a statistical link between exposure and disease
44
what is causation?
a statistical link where a disease is directly caused by the exposure
45
what percentage of all data in a sample will fall into one SD limit?
68%
46
what percentage of all data will fall into two SD limits?
95%
47
what does a low standard error mean?
low variability from sample to sample better precision in estimating mean low in a large sample size estimates the variability
48
what does a 95% confidence interval mean?
the range of values that you can be 95% confident contains the true mean of the population
49
what is a null hypothesis?
a statement to be tested of no difference or association typically aim to prove this hypothesis is not true
50
statistical significance _____ mean clinical significance
statistical significance doesn't mean clinical significance
51
what does crude mean in statistics?
where confounding variables aren't accounted for
52
what does adjusted mean?
where confounding variables are accounted for
53
how can chance be reduced?
ensuring a sufficiently large sample using confidence intervals and p-values
54
how can confounders be prevented at design stage?
randomisation restriction matching - where control group matches the confounders in the case group
55
how can bias be prevented?
ensuring an appropriate selection of participants | ensuring data is collected and measured correctly
56
what are the 2 types of bias?
selection bias - problem with study population | information bias - problem with information provided
57
how can information bias occur?
researcher - observer bias participant - recall/respondent bias instruments - wrongly calibrated instruments