Biostatistics Flashcards

1
Q

What is continuous data?

A

Data with a logical order
Values that continuously increase or decrease – have theoretically infinite options
Examples: age, height, weight, time, BP, temperature

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are types of discrete (categorical) data?

A

Nominal and ordinal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is nominal data?

A

Categories – order does not matter

Examples: gender, ethnicity, marital status, mortality

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is ordinal data?

A
Categories are ranked in logical order but difference between categories is not equal
Examples: NYHA functional class I-IV; 0-10 pain scale
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the spread of data?

A

How much it varies

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the range of data?

A

Difference between highest and lowest value

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is the standard deviation (SD) of data?

A

Indicates how spread out the data is, and to what degree the data is dispersed away from the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is Gaussian distribution?

A

Normally shaped “bell curve”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

On a bell curve, ___% of values fall into one standard deviation of the mean, ___% fall into 2 standard deviations of the mean

A

68%

95%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Independent vs dependent variables

A

Independent: Changed by researcher
Dependent: affected by independent variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does the null hypothesis state?

A

No statistically significant difference between groups

***Researcher tries to reject this

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What does the alternative hypothesis state?

A

There is a statistically significant difference between groups
***Researcher tries to prove this

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is the alpha value?

A

Threshold for rejecting null hypothesis
“error margin”
Usually 0.05 or 5%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

If p-value is ___ alpha, null is rejected and result (is/is not) statistically significant

A

Less than alpha

is

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is the confidence interval? How is it calculated?

A

Provides same info about significance as p-value, plus precision of the result
1-alpha = CI

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

If a confidence interval (CI) includes ____ it is not statistically significant

A

0: when comparing difference data
1: when comparing ratio data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

Which indicates high precision, narrow or wide CI?

A

Narrow

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

What does a 95% confidence interval indicate?

A

You are 95% sure that the true value falls between the range given

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

Type 1 error = false _____

Type 2 error = false _____

A

Type 1: false positive

Type 2: false negatives

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What does the study power indicate?

A

The probability that a test will reject the null hypothesis correctly
Power to avoid type II error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

If beta is 0.2, what is the study power?

A

80%

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
22
Q

What is relative risk?

A

Risk in the exposed group (treatment) divided by risk in the control group

23
Q

Risk formula

A

Total number of subjects in a group

24
Q

Relative risk formula

A

Risk in control group

25
What does relative risk of 1, >1, or <1 mean?
``` 1 = no difference in risk between group >1 = greater risk in treatment group <1 = less risk in treatment group ```
26
Relative risk reduction calculation
(% risk control group - % risk treatment group) ------------------- 5 risk control group OR 1-RR
27
What is relative risk reduction?
Indicates how much risk is reduced in treatment group
28
Absolute risk reduction calculation
(% risk in control group) – (% risk in treatment group)
29
What does an absolute risk reduction (ARR) of 12% mean?
12 out of every 100 patients benefit from treatment
30
Number needed to treat calculation
1/(risk in control group – risk in treatment group) OR 1/ARR
31
Which way do you round number needed to treat (NNT)? Number needed to harm (NNH)?
NNT – round up | NNH – round down
32
What is odds ratio (OR)?
Used to assess the odds of an outcome occurring with an exposure compared to odds of the outcome occurring without the exposure
33
What is hazard ratio?
Rate at which an unfavorable event occurs within a short period of time
34
Hazard ratio (HR) calculation
Hazard rate in treatment group ----------------------- Hazard rate in control group
35
What is a composite endpoint?
Combined endpoints into one measurement
36
What test should be used with numerical/continuous data with one group
One-sample t-test
37
What test should be used with numerical/continuous data with two groups (e.g treatment and control)
Independence/unpaired student t-test
38
What test should be used with numerical/continuous data with three or more groups
ANOVA
39
What test should be used with discrete/categorical data with two groups
Chi-squared test or Fisher’s exact test
40
What is correlation
Statistically technique that is used to determine if one variable changes or is related to another variable
41
What is regression used to describe?
The relationship between a dependent variable and one or more independent variables or ho much the value of the dependent variable changes when the independent variables changes
42
What does sensitivity/specific indicate?
Sensitivity – true positive; positive in patients with the condition Specificity – true negative; negative in patients without the condition
43
What is intention-to-treat analysis?
Includes data for all patients originally allocated to each treatment group even if they did not complete the trial according to study protocol
44
What is per-protocol analysis?
Includes data for all patients who completed the study according to protocol
45
What are equivalence and noninferiority trial designs?
Equivalence – demonstrates new treatment has ~equal effect the old treatment Non-inferiority – new treatment is no worse than current standard based on predefined non-inferiority margin
46
What do forest plots provide?
Cis for difference data or ratio data
47
Characteristics of case-control studies
Retrospective | Compare cases to controls
48
Characteristics of cohort studies | Limitations
Retrospective or prospective Compare patients with an exposure to those without an exposure Limitations: can be influenced by confounders
49
Characteristics of randomized controlled trials
Prospective | Compare patients who were randomly assigned to groups
50
Characteristics of meta-analyses
Analyzes the results of multiple studies
51
Characteristics of systematic review article
Summary of the clinical literature that focusses on a specific topic or question
52
Characteristics of case report or case series
Describes adverse event or condition in a single patient (report) or a few patients (series)
53
What does pharmacoeconomics do?
Identifies, measures, and compares the costs and consequences of pharmaceutical products and services
54
What are some indirect and intangible medical costs?
Indirect: lost work time, low work productivity, morbidity, mortality Intangible: pain, suffering, anxiety, fatigue