EBM 4 ; inference Flashcards

1
Q

when determining the association between E (exposure) 7 D (disease) there are 5 possibilities that describe and explain the relationship

A

result could be due to;

  • CHANCE (p values)
  • reversible causality
  • causal
  • bias
  • confounders
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

correlation

linear regression

A

C; how 2 continuous variables change together
(-1 to +1)
- MEASURES STRENGTH OF RELATIONSHIP

LR; relationship between one variable and another
MEASURES CHANGE IN OUTCOME PER UNIT CHSNGE IN THE EXPOSURE
y = a + bx
y ; outcome
x ; exposure
a ; y intercept
b ; slope

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

confounder

  • what?
  • 3 features
A
- another risk factor of a disease 
3 features 
- must be associated with the exposure of interest 
- must be a risk factor of the disease 
- must NOT be in the causal pathway
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

how to reduce the effect of confounders

A
  • RCT ; Randomised ; should mean exposure ; no relationship with cofounders (not v sure WHY THO)

CONTROL IN ANALYSIS
eg STRATIFICATION ;
- estimate OR for different strata
- keep levels of confounder constant so only exposure of interest levels are changing
- average out OR using some sort of equation

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

to control the effect of a no. of confounders

A

use REGRESSION MODELS

  • used in associations where the outcome is binary (presence or absence of disease)
  • v similar to line go regression except y value is binary, not continuous
  • thus the relationship is ; how x increases and how this affects whether outcome is more likely to be absence or presence of disease
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

BIAS -

  • 3types
  • within each type you can have ?
A

1) - selection bias ; occurs in the selection of participants
2) - loss to follow up bias ; participants drop out
3) - measurement bias ; bias in measuring exposure & outcome ;
- performance bias ; occurs when 2 groups in a study are not treated equally e.g. placebo group given extra interventions etc
- detection bias ; when some participants are less likely to report outcomes etc

selection bias ; non differentiated selection bias or differentiated selection bias

NON DIFFERENCIATED SELECTION BIAS
- if any errors in selecting participants occurs equally between the 2 groups then the association between E & D is UNBIASED

DIFFERENCIATED SELECTION BIAS
- if the errors in selecting participants is not equal between the 2 groups then the association is biased and the association will be under or over biased

Measurement bias ; NON DIFFERENCIATED MEASUREMENT BIAS & MISSCLASSIFICATION & DIFFERENCIATED MEASUREMENT BIAS & MISSCLASSIFICATION

N.D.M.B&. MC
- measurement errors which lead to misclassification are equal in all groups then association will be underestimated as usually these errors make the groups more similar.

D.M.B & MC.

  • measurement errors lead to misclassification occurs unequally in groups
  • association may be over or under estimated - NOT GOOD
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

BIAS IN

  • RCT
  • cohort studies
  • CASE CONTOL
A

RCT; mentioned above

COHORT;
- differential measurement bias is unlikely in a PROSPECTIVE CS since exposure is measured before outcome

CASE CONTROL STUDIES;
- recall bias ; errors in participants recalling their exposure or non exposure to something e.g. depressed cases are more likely to talk about being bullied than non depressed people i.e. controls

  • interviewee bias; some interviewers will be more likely to get info out of participants etc
  • also danger of REVERSE CAUSALITY
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

BRADFORD HILL CRITERIA

A
  • temporal sequence ;
    is it def causal and not reverse causality
  • strength of association ;
    stronger the RR the more likely the relationship is causal
  • consistency of relationship ; if diff ppl did the study with diff participants would they get the same results ?
  • biological gradient ie dosage compensation ; with increased exposure does risk of disease increase - more believable
  • specifity ; exposure and disease association must be specific - specific outcome not multiple
  • coherence ; explanation for the association
  • reversibilty ; RCT evidence etc
How well did you know this?
1
Not at all
2
3
4
5
Perfectly