medical statistics Flashcards

1
Q

what is a statistic

A

numerical summary of a sample

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2
Q

what is a parameter

A

numerical summary of the population (use sample stats to estimate parameter values)

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3
Q

types of variables

A

categorical
numerical
time to event

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4
Q

categorical variables

A

nominal
ordinal

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5
Q

numerical variables

A

discrete
continuous

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6
Q

nominal variables

A

categories are mutually exclusive and unordered
e.g.
- blood group
- ethnicity
- country of birth

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7
Q

ordinal variables

A

categories are mutually exclusive and ordered
e.g.
- disease stage
- education level
- heart murmur grade

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8
Q

discrete variables

A

take only integer values (0,1,2…)
e.g.
- number of meds
- number of hospital admissions

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9
Q

continuous variables

A

take any value in a given interval
e.g.
- age
- weight
- blood pressure

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10
Q

standard deviation graphical values

A

1 s.d. = 68%
2 s.d. = 95%
3 s.d. = 99.7%

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11
Q

z score =

A

(observation - mean) / (standard deviation)

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12
Q

steps in hypothesis testing

A
  1. state the null and alternate hypothesis
  2. decide the appropriate statistical test
  3. use the test to calculate the p-value
  4. weight the evidence against the null
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13
Q

if p value is smaller than or equal to 0.05…

A

statistically significant, unlikely due to chance so sufficient evidence to reject the Ho

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14
Q

if p value is larger than 0.05…

A

not statistically significant, result likely due to chance so insufficient evidence to reject the Ho

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15
Q

limitations of the p value

A
  • mixes strength of an accosication with the sample size (precision)
  • p value goes down as sample size increases
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16
Q

bivariate tests

A

group 1 - two numerical variables
group 2 - two categorial variables
group 3 - one categorical, one numerical

17
Q

what statistical tests are appropriate for two numerical variables

A

correlation/regression
- correlation (two-sided association)
- simple linear regression (one-sided association)

18
Q

what statistical tests are appropriate for two categorical values

A

chi-squared tests
- chi-squared test (unpaired)
- mcnemar test (paired)

19
Q

what statistical tests are appropriate for one categorical and one numerical variable

A
  • 2 groups = t-test (paired and unpaired)
  • > 2 groups = ANOVA (unpaired) & ANOVA for repeated measures (paired)
20
Q

correlation coefficient (r)

A

measures strength of the linear association between two numerical variables
bateen -1 and +1