Statistical Analysis Flashcards

1
Q

Steps for Statistical Analysis

A
  1. Pick an analytical model
  2. Control for confounding
  3. Look at subgroups for differences
  4. Test for effect modification
  5. Assess assumptions (Sensitivity analysis)
  6. Propensity scores
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Prevalence
- Definition

A

Case Control Study
- Whether or not subject has a disease
- Does not care about time

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

Prevalence
- Kinds

A

Point Prevalence (Cross Sectional)
- Who had a disease at a specific point in time

Period Prevalence
- Who had a disease over a specific measure of time

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

Prevalence
- Formula

A

Total number of people with disease / Total number of people in population

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

Incidence
- Definition

A

Cohort Study
- Proportion of people in a group who have developed a disease during a period of time

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

Incidence
- Kinds of

A

Incidence Proportion (Must specify follow up duration)
- Proportion of at risk population who has developed disease

Incidence Rate
- Number of people at risk and the time of risk

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

Incidence
- Formula

A

Incidence Proportion
- Total number of people with new disease / Total number of people in population at risk

Incidence Rate
- Total number of people with new disease / Total Person-Time at risk

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

2x2 Tabels

A

In RCTs we know which groups are exposed and which are not
- We try to emulate this in observational studies

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

Analytical Model
- Cross Sectional

A

Start with exposure and outcome
- Amount of exposed and unexposed are guessed

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

Analytical Model
- Case-Control

A

Start with outcome
- Can look at odds of an outcome
- No incidence rate

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

Analytical Model
- Cohort

A

Start with exposure
- No randomization
- Can look at exposure rates and outcomes

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

Odds Ratio
- Definition

A

The odds of an outcome happening in one group vs another (Exposed vs Unexposed)
- (a/b) / (c/d)

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

Odds Ratio
- Use

A

Cross Sectional, Case-Control, Cohort Studies

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

Odds Ratio
- What model

A

Logistic Regression Model

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

Relative Risk
- Definition

A

How more or less likely for an event to happen in one group vs another
- (A/A+B) / (C/C+D)

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

Relative Risk
- Use

A

Cross Sectional and Cohort Studies
- Used when we can calculate incidence

17
Q

Survival Time

A

Patient important outcome that measures time to an event
- Don’t just focus on probability of an event occuring

18
Q

Kaplan Meier
- Definition

A

X-Axis: Time In Study
Y-Axis:
- Time to Event Plot
- Survival Plot

19
Q

Kaplan Meier
- Time to Event Plot

A

Cumulative proportion of people who had event of interest
- Goes up

20
Q

Kaplan Meier
- Survival Plot

A

Remaining proportion of people who have not had event of interest
- Goes down

21
Q

Hazard Ratio
- Definition

A

Takes into consideration occurrence of events and time interval after follow up to when event occurs (or end of follow up if event does not happen)

22
Q

Hazard Ratio
- What model

A

Cox Proportional Hazards Model

23
Q

Sensitivity Analyses
- Examples

A

Change duration of assessment window
- Longer or shorter

Change definition to identify exposure or outcomes

Add or remove covariates