Biostatistics Flashcards

1
Q

Branch of statistics that summarizes information about a group based on the actual data collected

A

Descriptive

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2
Q

Branch of statistics where conclusions are prepared based on the data collected, with predictions made that go beyond the sample analyzed but are generally related to different but related situations

A

Inferential

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3
Q

number that describes the population

A

Parameter

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4
Q

number that describes the sample

A

Statistic

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5
Q

reflects reproducibility or true exactness

A

Precision

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6
Q

reflects closeness to the true value

A

Accuracy

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7
Q

characteristic that varies between different individuals (gender, blood type)

A

Between-subject variable

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8
Q

characteristic of an individual that varies with time (blood pressure, heart rate)

A

Within-subject variable

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9
Q

Data type involving separate, indivisible categories

A

Discrete

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10
Q

Data type involving infinite number of possible values that fit between any two adjacent values

A

Continuous

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11
Q

Scale of measurement: Names or classification data, no order, arbitrary labels

A

Nominal

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12
Q

Scale of measurement: Ordered data, ranks
Groups in sequence (one is better than the other)
Comparative quality or rank order

A

Ordinal

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13
Q

Scale of measurement: Ordered categories with all intervals equal
Categories are randomly assigned
Exact different among groups (how much better)
Quantitative, mean and standard deviation

A

Interval

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14
Q

Scale of measurement: Ordered categories with a fixed absolute zero
Interval with TRUE zero (real difference)

A

Ratio

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15
Q

Skew where left tail is longer; mass of the distribution is concentrated on the right of the curve

A

Negative skew

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16
Q

Skew where right tail is longer; mass of the distribution is concentrated on the left of the curve

A

Positive skew

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17
Q

Peak sharpness where there is a normal distribution

A

Mesokurtic

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18
Q

Peak sharpness where peakedness is greater than normal distribution

A

Leptokurtic

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19
Q

Peak sharpness where peakedness is less than normal distribution

A

Platykurtic

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20
Q

Percentage of data points exist that within 1 standard deviation from the mean

21
Q

Percentage of data points exist that within 2 standard deviations from the mean

22
Q

Percentage of data points exist that within 3 standard deviations from the mean

23
Q

How to calculate joint probability of two independent events

24
Q

How to calculate joint probability of two mutually exclusive events

25
How to calculate joint probability of non-mutually exclusive events
(P1 + P2) - (P1 x P2)
26
Do larger sample sizes have wider or narrower confidence intervals?
Narrower
27
Z-score used for 90% confidence interval
1.645 ~ 1.5
28
Z-score used for 95% confidence interval
1.96 ~ 2.0
29
Z-score used for 99% confidence interval
2.576 ~ 2.5
30
Equation to calculate confidence interval
Mean +/- Z * (stand. dev. / square root n)
31
Equation for standard error of the mean
Standard deviation / square root of sample size
32
Statistical test used on 2 interval groups (e.g. height and weight) to show a linear relationship
Pearson correlation
33
Statistical test used on 2 nominal groups (e.g. single vs married)
Chi-squared
34
Statistic test used for 1 interval and 1 nominal group (2 groups only) E.g. blood pressure by gender
t-test
35
Statistic test used for 2 groups (1 interval and 1 nominal) that are linked data pairs E.g. blood pressure before and after NBME
Matched pairs t-test
36
Statistical test used for 2 or more groups (at least 1 nominal and 1 interval) E.g. pain improvement by two drugs in two age groups
One-way ANOVA
37
Statistical test used to 2 or more groups, 2 nominal variables E.g. blood pressure in men and women from US and Canada
Two-way ANOVA
38
Type of error involving incorrect rejection of a true null hypothesis (false positive) Chance is alpha value (P value)
Type I error
39
Chance of type I error is given by this
Alpha value (P value)
40
Type of error involving incorrectly retain a null hypothesis (fail to reject) a false negative Probability is beta (1 - power)
Type II error
41
Chance of type II error is given by this
Beta (= 1 - Power)
42
likelihood a study will detect an effect then there is one to be detected
Statistical power
43
Statistical power increases as this type of error decreases
Type II
44
5 steps in evidence-based medicine
Ask, Acquire, Appraise, Apply, Audit
45
PICO(T) is used for this step in evidence-based medicine
Ask: convert information need into an answerable clinical question
46
In evidence-based medicine, P in PICO describes this
Problem or population (patient)
47
In evidence-based medicine, I in PICO describes this
Intervention
48
In evidence-based medicine, C in PICO describes this
Comparison
49
In evidence-based medicine, O in PICO describes this
Outcome