Statistics Flashcards

1
Q

how to calculate positive predictive value

A

TP / (TP + FP)

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2
Q

how to calculate negative predictive value

A

TN / (TN + FN)

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3
Q

How to calculate sensitivity

A

TP / (TP + FN )

Proportion of patients with the condition who have a positive test result

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4
Q

How to calculate specificity

A

TN / (TN + FP)

Proportion of patients without the condition who have a negative test result

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5
Q

What is the p value

A

is the probability of obtaining a result by chance at least as extreme as the one that was actually observed, assuming that the null hypothesis is true

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6
Q

What is confounding bias

A

occurs when there is a causal relationship between an unaccounted factor and the main outcome

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7
Q

What type of study are forest plots used in

A

meta analysis

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8
Q

how do forest plots display data

A

can be used to present and combine data from more than one study

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9
Q

what is recall bias

A

Difference in the accuracy of the recollections retrieved by study participants, possibly due to whether they have disorder or not.

particular problem in case-control studies

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10
Q

what is Publication bias

A

Failure to publish results from valid studies, often as they showed a negative or uninteresting result.

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11
Q

what is Expectation bias

A

in non-blinded trials. Observers may subconsciously measure or report data in a way that favours the expected study outcome.

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12
Q

what is the Hawthorne effect

A

Describes a group changing it’s behaviour due to the knowledge that it is being studied

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13
Q

what is Lead-time bias

A

Occurs when two tests for a disease are compared, the new test diagnoses the disease earlier, but there is no effect on the outcome of the disease

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14
Q

clinical trial phases?

A

phase 0 - exploratory studies
phase 1 - safety assessment
phase 2 - assess efficacy
phase 3- assess effectiveness
phase 4 - Postmarketing surveillance

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15
Q

clinical trial phase 0?
exploratory studies

A

very small number of participants and aim to assess how a drug behaves in the human body. Used to assess pharmacokinetics and pharmacodynamics.

help in determining whether it is feasible to move on to further phases

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16
Q

clinical trial phase 1?

A

safety assessment

Determines side-effects prior to larger studies. Conducted on healthy volunteers

17
Q

clinical trial phase 2
assess efficacy

A

Involves small number of patients affected by particular disease

May be subdivided into
IIa - assesses optimal dosing
IIb - assesses efficacy

18
Q

clinical trial phase 3?

A

assess effectiveness

Typically involves 100-1000’s of people, often as part of a randomised controlled trial, comparing new treatment with established treatments

19
Q

clinical trial phase 4?
post marketing surveillance

A

Monitors for long-term effectiveness and side-effects

20
Q

what is the confidence interval

A

a range of values within which the true effect of intervention is likely to lie

21
Q

what is the confidence level

A

likelihood of the true effect lying within the confidence interval is determined by the confidence level.

example a confidence interval at the 95% confidence level means that the confidence interval should contain the true effect of intervention 95% of the time.

22
Q

what can linear regression be used for

A

linear regression may be used to predict how much one variable changes when a second variable is changed

23
Q

what is regression in terms of correlation

A

Once correlation between two variables has been shown regression can be used to predict values of other dependent variables from independent variables

24
Q

what is a significance test

A

A null hypothesis (H0) states that two treatments are equally effective (there is no difference).

A significance test uses the sample data to assess how likely the null hypothesis is to be correct.

25
Significance test types
depends if parametric (can be measured) or non-parametric
26
what is the alternative hypothesis
There is a difference between the two treatments
27
what are parametric studies and examples
significance test which is measurable, usually normally distributed Student's t test - paired or unpaired Pearson's product moment coefficient - correlation
28
What is the Pearsons test
parametric test, measurable correlation between numeric variables
29
What is the student t test and difference between paired and unpaired
Parametric test paired data refers to data obtained from a single group of patients, e.g. Measurement before and after an intervention. Unpaired data comes from two different groups of patients, e.g. Comparing response to different interventions in two groups
30
What are non parametric test
significance test where cant be measured Do not require a distribution to meet the required assumptions to be analysed
31
what is the man whitney u test
non parametric significance test compares ordinal, interval, or ratio scales of unpaired data
32
what is the wilcoxon signed rank test
non parametric signif test compares two sets of observations on a single sample, e.g. a 'before' and 'after' test on the same population following an intervention
33
what is the chi-squared test
used to compare proportions or percentages e.g. compares the percentage of patients who improved following two different interventions
34
what is the spearman kendall rank
non parametric test - correlation
35
what is a randomised control trial
Participants randomly allocated to intervention or control group (e.g. standard treatment or placebo) Practical or ethical problems may limit use
36
what is a cohort study
observational and prospective Two (or more) are selected according to their exposure to a particular agent (e.g. medicine, toxin) and followed up to see how many develop a disease or other outcome. The usual outcome measure is the relative risk. see what happens in future w exposure
37
what is a case-control study
Observational and retrospective. Patients with a particular condition (cases) are identified and matched with controls. Data is then collected on past exposure to a possible causal agent for the condition. The usual outcome measure is the odds ratio.
38
what is a cross-sectional survey
Provide a 'snapshot', sometimes called prevalence studies Provide weak evidence of cause and effect