EAB - study design and summarising data Flashcards

1
Q

What is an RCT?

A
  • Intervention study
  • Choice of treatment/intervention allocated randomly
  • Typically randomised to new vs current or placebo treatment
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2
Q

Why do we need to randomise in RCTs?

A
  • Ensures patients’ characteristics don’t affect which treatment they receive
  • Unbiased
  • Treatment groups balanced
  • Any differences in outcome can be attributed to treatment
  • Fair test of efficacy
  • Usually use computer-generated random list
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3
Q

what is the gold standard for research studies

A

RCT

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4
Q

What are 2 limitations of RCTs?

A
  • Can be expensive and difficult to organise
  • Some interventions are impossible or unethical to randomise to
    • ## e.g. impact of lead on children’s intelligence
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5
Q

What are cohort studies?

A
  • Observational study - no intervention
  • Subjects observed in natural state (real world)
  • Investigates causes or factors associated with disease (or condition)
  • Selects group of healthy individuals
  • Follow-up to monitor disease state and possible risk factors over time
  • Disease state (e.g. yes/no) according to risk factor status (e.g.
    smoking yes/no)
  • Usually prospective (but retrospective designs may be used)
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6
Q

What are the advantages of cohort studies?

A
  • Data is collected prospectively, so estimates are less likely to be biased than those from a case-control
  • RCTs can only investigate potential benefits for ethical reasons
  • Imbalance between exposed and unexposed can be corrected
  • Cohort studies can look at exposure to treatment and harm
    eg impact of lead on children’s intelligence
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7
Q

What are case control studies?

A
  • Observational study - no intervention
  • Subjects observed in natural state (real world)
  • Investigates causes or factors associated with disease (or condition)
  • Selects group with disease: ‘cases’
  • Choose comparator group without disease: ‘controls’
  • Compare cases and controls with respect to possible risk factors
  • Usually retrospective
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8
Q

What are the limitations of a case-control study?

A

x Choice of control group affects comparison

x Data reported by subjects or from records - usually retrospective so may be incomplete, inaccurate or biased

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9
Q

what are advantages of case control studies

A

BUT often quick to do and inexpensive!

Evidence from case-control studies may be used in planning further research

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10
Q

What are cross-sectional studies?

A
  • Observational study
  • Subjects observed in natural state (real world)
  • Collect data for each subject at one point in time only
  • Similar to a cohort study, but without follow-up
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11
Q

What are the limitations of cross-sectional studies?

A
  • Useful for:
    *measuring prevalence of a disease/condition- e.g. % in population with asthma
  • surveys of attitudes/views/behaviours -e.g. patient satisfaction, alcohol drinking
  • Not useful for looking at cause & effect
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12
Q

out of RCT, case control, cohort, and cross sectional, which one is intervention and which one is observational?

A

RCT = intervention

CROSS SECTION, COHORT, CASE CONTROL = observational

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13
Q

What are 2 types of quantitative data?

A
  • Continuous: lies on continuum – any value valid between range e.g. weight, height
  • Discrete: data can only take certain values – usually integers,
    often counts e.g. number of children in a family
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14
Q

What is categorical data?

A

Individuals fall into one of a number of separate categories, Can be 2, 3 or more categories:

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15
Q

what kind of data is made up of 2 categories

A

2 categories: dichotomous or binary data

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16
Q

what kind of data is made up of MORE THAN 2 categories

A

can be ordered or unordered

17
Q

what is the difference between ordered and unordered?

A

Ordered data has a specific sequence or arrangement, like a list of numbers sorted from smallest to largest. Unordered data doesn’t have a defined sequence, like a set of items in a bag without any particular order.

18
Q

what are 2 types of ‘centre of data’

A
  • Mean (arithmetic average)
  • Median (middle value when data ranked)
19
Q

what are 4 types of ‘spread of data’

A
  • Range (min, max; useful as descriptor)
  • Standard deviation (‘SD’; shows spread of data; same units as data)
  • Variance = SD2
  • Interquartile range (IQR; middle 50% of ordered data when data split into
20
Q

How do you calculate standard deviation?

A
  1. find d2 by:
    find mean
    minus each value from mean
    square this value^
  2. d2/ n-1 (where n is the number of data point)
  3. then square root it to get SD
21
Q

what kind of summary should you use for continuous data?

A

SD

22
Q

what kind of summary should you use for continuous data with skew?

A

consider IQR as well

23
Q

What is a histogram used to show?

A

distribution of continuous data

24
Q

What is a box plot used to show?

A

Box plot for continuous data

  • median = horizontal line in box
  • upper quartile = top edge of the box
  • lower quartile = lower edge of box
  • Whisker length up to 1.5 times width of box
  • Outliers shown as dots
25
Q

Describe shapes of distribution.

A
26
Q

What are the features of normal distribution?

A
  • About 95% data lies within mean ± 2SD
  • About 68% data lies within mean ± 1SD
  • Used for ‘Normal ranges’, t-tests, 51 regression etc.
27
Q

What are bar charts used to show?

A
  • Shows frequency or percentage in each category
  • May be quicker to absorb than a table
28
Q

What are pie charts used to show?

A

Size of slice, defined by angle, proportional to frequency in category

29
Q

how to find centre of distribution

A

positive skew/ negative skew = median

symmetrical = mean

30
Q
A
31
Q

out of RCT, case, cohort and cross sectional, which is interventional and which is observational?

A

RCT IS THE ONLY INTERVENTIONAL ONE, the rest is observational

31
Q
A