Biostatistics Flashcards

1
Q

Types of Data: Can be _________ or ________

A

continuous or discrete/caterogorical

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2
Q

Continuous data can be _________ or ________

Discrete/categoircal data can be _______ or _______

A

Continuous: ratio or interval

Discrete: nominal or ordinal

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3
Q

what are measures of central tendency?

A

mean, median, mode

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4
Q

mean is best for what kinds of data?

A

continuous or normally distributed values (no outliers!)

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5
Q

median is best for what kind of data?

A

ordinal data or if there is SKEWED continuous data

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6
Q

mode is best for what kind of data?

A

nominal data

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7
Q

what is gaussian?

A

it is normal bell shaped distribution curve

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8
Q

Gaussian distributions:
____% of values fall in 1 SD
____% of values fall in 2 SD

A

1 SD: 68%

2 SD: 95%

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9
Q

alpha level:

used to select the maximum permissible ________

A

error margin

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10
Q

alpha level:

commonly set at _____

A

5% of 0.05

if they do 1% of 0.01 — just need more data to prove this

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11
Q

if the p-value is less than alpha: the null hypothesis is _______ and the result is termed statistically _______

A

null is rejected

statistically significant

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12
Q

Confidence Interval = _____ - _____

A

1 - alpha

alpha of 0.05 = CI of 95%

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13
Q

The CI range will not include _____ when comparing difference data/means

A

0

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14
Q

The CI range will not include _____ when comparing ratio data (hazard ratio, odds ratio, hazard ratio)

A

1

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15
Q

Type 1 errors: False _______

Type 2 errors: False ______

A

1: false POSTIVES – we rejected the null when we shouldn’t have
2: false NEGATIVES – we accepted the null when we should have rejected it

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16
Q

Type 1 errors are related to (alpha or beta)

Type 2 errors are related to (alpha or beta)

A

1: alpha
2: beta (type 2 error = beta)

17
Q

Study power: 1 - ____

Power = the probability we will _____ the null hypothesis correctly

A

Beta (type 2 error)

we will REJECT correctly (aka power to avoid type 2 error)

18
Q

Risk – how to calculate?
vs
Relative risk — calculate it how?

A

Risk: # of subjects in group to have an event / total # of subjects in group….

RR: risk in exposed group (treatment)
divided by
risk in the control group

19
Q

Relative Risk Interpretation
RR = 1
RR > 1
RR < 1

A

1: no difference in outcome b/w groups
RR > 1 = greater risk for outcome in tx group
RR < 1 = lower risk/reduced risk of outcome in tx group

20
Q

Relative risk vs relative risk reduction?

A

RR: determines where the risk is less or more

RRR: indicates how much the risk was reduced

21
Q

How to find RRR? (relative risk reduction)

A

1 - RR

OR

% in control - % in tx group / % in control group

22
Q

ARR what is it and how to calculate it?

A

it is the reduction in risk and the incidence rate of the outcome

ARR = % risk in control group - % risk in tx group

23
Q

NNT what does it mean and how to find it?

A

NNT = number need to treat = how many patients need to be treated in a certain time frame for ONE patient to benefit

NNT = 1 / ARR
or NNT = 1 / (risk in control group - risk in tx group)

24
Q

For NNT calculations – if you get a fraction – round up or down?

A

always round up (this is conservative)

25
Q

For NNH calculations – if you get a fraction – round up or down?

A

always round down (this is conservative)

26
Q

NNH what does it mean and how to find it?

A

Number needed to harm = how many patients need to be treated in a certain time frame for ONE patient to be HARMED

NNH also is 1 /ARR (same as NNT)

27
Q

_______ test is good for nominal or ordinal data

A

chi square

28
Q

sensitivity the true _______
vs
specificity the true ______

A

sensitivity: true positive
specificity: true negative

29
Q

intention to treat vs per protocol?

A

intention: all pts originally put in the tx group are still included even when they did not complete it

per protocol: all include pts that completed the study