Using linked educational attainment data to reduce bias due to missing outcome data in estimates of the association between the duration of breastfeeding and IQ at 15 years | Zendy

Rosie Cornish | Zendy; Kate Tilling | Zendy; Andy Boyd | Zendy; Amy Davies | Zendy; John Macleod | Zendy

Open Access

Using linked educational attainment data to reduce bias due to missing outcome data in estimates of the association between the duration of breastfeeding and IQ at 15 years

Author(s) -

Rosie Cornish,

Kate Tilling,

Andy Boyd,

Amy Davies,

John Macleod

Publication year - 2015

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyv035

Subject(s) - missing data , breastfeeding , proxy (statistics) , imputation (statistics) , educational attainment , linkage (software) , demography , association (psychology) , psychology , intelligence quotient , record linkage , medicine , statistics , population , pediatrics , environmental health , mathematics , psychiatry , cognition , biochemistry , chemistry , sociology , economics , psychotherapist , gene , economic growth

Most epidemiological studies have missing information, leading to reduced power and potential bias. Estimates of exposure-outcome associations will generally be biased if the outcome variable is missing not at random (MNAR). Linkage to administrative data containing a proxy for the missing study outcome allows assessment of whether this outcome is MNAR and the evaluation of bias. We examined this in relation to the association between infant breastfeeding and IQ at 15 years, where a proxy for IQ was available through linkage to school attainment data.

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