Lecture 02 Flashcards

1
Q

What can we find in research papers? Name 4 of them.

A
  1. Title, authors, institutions
  2. Abstract
  3. Introduction
  4. Method
  5. Results
  6. Discussion
  7. References
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Statistical power:
1. What is it?
2. When should it be calculated?
3. What is its range?
4. How much -> interpret findings that are not statistically significant with reasonable confidence?

A
  1. Power estimates the probability of detecting a statistically significant difference in the sample if no one exists in the population.
  2. Planning stage
  3. 0.00-1.00
  4. 0.80
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What does it mean when p < 0.05?

A

Statistically significant, true effect may not be zero

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

Other than p-values, what else can we use to report research significance?

A

Effect size and confidence intervals
ES: estimates the average size of treatment, measures the average difference between sample groups

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

Comparison of independent means?
Small?
Medium?
Large?

A

d
Small: 0.20
Medium: 0.50
Large: 0.80

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

Define validity.

A

Whether a test accurately reflects the CONSTRUCT that it was designed to measure.
度到要度嘅野?

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

What is the difference between internal and external validity?

A

Internal: evidence -> reflection of patients/procedures/settings that were observed
External: not observed

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

Controlled + Experimental?
Controlled only?
Experimental only?
Neither?

A

Controlled + experimental: controlled trial, multiple baseline

Controlled: cohort, case-control, cross-sectional

Experimental only: uncontrolled trials

Neither: case report, case series

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

What are the differences between a prospective and a retrospective study?

A

Prospective: collect data
Retrospective: analyse existing data

Prospective: identify and recruit participants
Retrospective: no control to participants

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

What do Type I and Type II error mean?

A

Type I: concluded difference exists but no difference is true (rejected H0)

Type II: conclude H0 as correct but have difference in fact (X reject H0)

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