Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation

Quantifying the influence of bias in reproductive and perinatal epidemiology through simulation

The application of simulated data in epidemiological studies enables the illustration and quantification of the magnitude of various types of bias commonly found in observational studies. This was a review of the application of simulation methods to the quantification of bias in reproductive and per...

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Bibliographic Details
Main Authors: Dunne, Jennifer, Tessema, Gizachew, Ognjenovic, Milica, Pereira, Gavin
Format: Journal Article
Language:English
Published: ELSEVIER SCIENCE INC 2021
Subjects:
Science & Technology
Life Sciences & Biomedicine
Public, Environmental & Occupational Health
Selection Bias
Confounding
Information Bias
Misclassification
Collider&nbsp
Statistical Modelling
LEFT TRUNCATION BIAS
TO-PREGNANCY DATA
GESTATIONAL-AGE
BIRTH-WEIGHT
SENSITIVITY-ANALYSIS
MEASUREMENT ERROR
SELECTION BIAS
PRETERM BIRTH
TIME
IMPACT
Misclassification;, Collider
Bias
Computer Simulation
Female
Humans
Pregnancy
Online Access:http://purl.org/au-research/grants/nhmrc/1099655
http://hdl.handle.net/20.500.11937/93729

Internet

http://purl.org/au-research/grants/nhmrc/1099655
http://hdl.handle.net/20.500.11937/93729

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