Stats cram Flashcards

1
Q

Purpose of cross sectional study

A

Prevalence of exposure and disease at specific point in time

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

Purpose of ecological study

A

Assess link between exposure and outcome
Used if outcome of study is rare

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

Purpose of cohort study

A

Studies incidence rate and whether exposure is associated with outcome of interest
Used for large study populations
May be prospective or retrospective

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

Purpose of RCT

A

Determines possible effect of specific intervention on population
Minimises bias

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

Variants of RCT

A
  • Parallel group design - participants remain in assigned groups for entire duration
  • Crossover design - participants switch groups during study
  • Factorial design - experimental study design in which multiple interventions are studied simultaneously
  • Cluster design - experimental study design in which unit of randomisation is a group rather than individual participant
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Types of errors

A

Type 1 error - null hypothesis rejected when it is actually true, or alternative hypothesis is accepted (false positive error)
Type 2 error - null hypothesis is accepted when it is actually false (false negative error)

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

Statistical power

A

1 - probability of type 2 error

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

P-value

A

Compared to significance level
Chance of type 1 error

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

Purpose of T-test

A

Calculates difference between means of two samples
Unpaired - two different group samples at same time
Paired - same group samples at two different times

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

Purpose of ANOVA

A

Extension of t-test
Calculates difference between more than 2 groups

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

Purpose of Spearman correlation coefficient

A

Calculates relationship between two variables according to rank

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

Purpose of Mann-Whitney U test

A

Compares ordinal, interval or ratio scales
Calculates whether two independently chosen samples originate from sample population

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

Purpose of Wilcoxon test

A

Rank sum - Compares means between groups of different sizes
Signed rank - compares means between pairs of scores that can be matched

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

Purpose of Kruskal-Wallis H test

A

Compares multiple groups by testing null hypothesis

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

Purpose of binomial test

A

Examines whether observed frequency of event with binary outcomes is statistically probable or not

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

Purpose of Chi-square test

A

Compares distribution of two categorical variables

17
Q

Purpose of Fisher exact test

A

Calculates difference between frequencies in a sample - used if study sample is small

18
Q

Odds ratio definition

A

Comparison of odds of an event occurring in one group compared to another group

19
Q

Hazard ratio definition

A

Measure of effect of intervention on outcome at any given point during study period

20
Q

Relative risk definition

A

Likelihood of an outcome in one group exposed to potential risk factor compared to risk in another group