EFFECT OF ATYPICAL POPULATIONS IN META-ANALYSIS

Juliana Torres Sánchez

PhD. Juan Carlos Correa Morales

AGENDA

• Contextualization

• Problem

• Design and methods

• Data/results

• Next steps….

Contextualization

Statistical Technique

Sum

Unification

Understanding

Response variable

Problem

• Effect Atypical Study

Results

• Recommendations

• Mean, proportions

Design and methods

Mean 1

Location 0,9

Outlier 0,8

Study 0,7

0,6

0,5

0,4

0,3

0,2

0,1

10

20

30

40

n 50

60

70

80

90

100

1.000 simulations

Studies

Sample Size = n

Meta- Analysis

Meta-analysis size = N = 10 Studies + Outlier study

N = 11

Proportion (%) = # No Heterogeneity

1.000 Simulations

µp + k σp

Design and Methods

+ 0,1𝜎

Atypical population

Design and Methods

+0,2𝜎

Design and methods

+0,3𝜎

Design and methods

+0,4𝜎

Design and methods

+0,5𝜎

Design and methods

+0,6𝜎

Design and methods

+0,7𝜎

Design and methods

+0,8𝜎

Design and methods

+0,9𝜎

Design and methods

+1𝜎

Data/results

In or Out

In when Not

Increase the doses

Decrease the doses

In when Yes

Out when Not

Out when Yes

Decrease the doses

Increase the doses

True

True

¿Is that or thoseatypical studies

really partof your population

A good approach is

to use the linear regression

outlier detection

proposals

Next steps….

• Other models

random effects model

mixed effects model