Statistics Flashcards

1
Q

Name the study: Snap shot in time, comparing two things in a population at a given time.

A

Cross sectional study ie a clinical audit

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2
Q

What is the disadvantage of a cross sectional study?

A

Cant prove causality

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3
Q

What studies can be used to answer a ‘prediction’ question?

A

cohort (follow-up over time) and case control

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4
Q

Name the study: Identifying patients with uncommon outcomes and looking back in time to link exposure etc

A

Case control studies

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5
Q

Which study is higher in quality of evidence? case control or cohort?

A

Cohort

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6
Q

What is the 1st and 2nd best study design for evidence?

A

Meta analysis
Systemic review

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7
Q

Which study is best to answer an intervention question?

A

RCT- if ethical

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8
Q

What is a weakness of systematic reviews?

A

Its only as good as the studies included in it

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9
Q

Name 2 strengths of an RCT

A

randomisation distributes known/unknown confounders, blinding reduces bias and can measure effect of internvention

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10
Q

Name 2 weakness of RCT

A

ethics, cost-time, failure of allocation concealment

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11
Q

Name 2 strengths of a cohort study

A

proves temporal causation, cheaper and easier than RCT, can show PROGNOSIS

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12
Q

Name 2 weaknesses of a cohort study

A

unknown confounders, rare conditions, lost to follow-up

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13
Q

Name 2 strengths of a case control study

A

quick, cheap, feasible for rare disorders

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14
Q

Name 2 weaknesses of a case control study

A

selecting controls, recall and selection bias

A case-control study is a type of observational study commonly used to look at factors associated with diseases or outcomes. The case-control study starts with a group of cases, which are the individuals who have the outcome of interest. The researcher then tries to construct a second group of individuals called the controls, who are similar to the case individuals but do not have the outcome of interest.

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15
Q

Name 2 advantages of a cross sectional study

A

simple, cheap, can quantify condition/risk factor

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16
Q

Name 2 weaknesses of a cross sectional study

A

No cause/effect, confounding bias, only to generate hypothesis.
‘audits or surveys on the street’

17
Q

What is the solution for confounding variables in a study?

A

randominsation

18
Q

What is Kappa (Cohen’s) statistics?

A

agreement between different people assessing results of the study.
1= 100% agreement and 0= no agreement
Clinical studies need high kappa stats

19
Q

What is external validity

A

Ability to generalise data

20
Q

What is the key reason for failure in RCTs?

A

Poor allocation concealment

21
Q

Who is the most important person/group to blind in a RCT?

A

The assessor (intervention should ideally also be blinded)

22
Q

What is the intention to treat analysis and why is it done?

A

Analyse participants in groups here they were randomised. This preserves randomisation and is more realistic

23
Q

What is convenience sampling?

A

The worst form of sample take 50 people at this shop right now.
Volunteer and selection bias.

24
Q

What is cognitive bias?

A

Relate to bias in clinical decision making, not study design. This cognitive bias affects the way we test and evaluate hypotheses every day.

25
What is confirmation bias?
the tendency to interpret new evidence as confirmation of one's existing beliefs or theories.
26
What is the difference between logitistic and linear regression
Logistic regression= relationship between binary outome Linear regression= relationship between continious outcome
27
What does the p value do and what is a false positive?
Examines null hypothesis and false positive is a type I error
28
Should P values be used on their own to asssess a study?
No.
29
What is a type 2 error?
The probability of rejecting the null hypothesis when its flase ie false negative.
30
What is the differnce between the chi squared and the t test?
Chi squared- measures distribution of a variable between 2 variables if they are categorical. T test is the same if continous C= CATEGORY
31
What does the size of the square in a forrest plot reflect
size of study
32
What does the diamond and the size of the diamond mean in forrest plot?
The overall effect of all studies. THe width represents the confidence interval
33
What is a cost-effective analysis?
Comparing two internvetions with same outcome. Part of health economics
34
What is a cost-utlility analysis?
Measure effect in terms of quality/disability adjusted life years
35
Which measure helps rule IN disease vs rule out?
Spin and snout SPIN- specificity rule in SNOUT- sensitivity rule OUT