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|Title: ||Integrating clinical and epidemiological data on allergic diseases across birth cohorts: a MeDALL harmonization study|
|Authors: ||Benet, Marta|
Tischer, Christina G.
Lodrup Carlsen, Karin C.
Fantini, Maria P.
McEachan, Rosie R.C.
Petherick, Emily S.
Wijga, Alet H.
Anto, Josep M.
|Issue Date: ||2018|
|Publisher: ||Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health © The Authors|
|Citation: ||BENET, M. ... et al, 2018. Integrating clinical and epidemiological data on allergic diseases across birth cohorts: a MeDALL harmonization study. American Journal of Epidemiology, doi:10.1093/aje/kwy242.|
|Abstract: ||International collaborations among birth cohorts to better understand asthma and allergies have increased in the last years. However, differences in definitions and methods preclude direct pooling of original individual participant data. We harmonized data from 14 birth cohorts, with three to 20 follow-ups, from nine European countries, as part of the Mechanisms of the Development of Asthma and Allergies (MeDALL) project. The harmonization process followed six steps: organization of the harmonization panel; identification of variables relevant to MeDALL objectives (candidate variables); proposal of a definition for each candidate variable (reference definition); assessment of the compatibility of each cohort variable to its reference definition (inferential equivalence) and classifications of this inferential equivalence as complete, partial, or impossible; workshop to agree on the reference definitions and classifications of inferential equivalence; and data preparation and delivery through a knowledge management portal. We agreed on 137 reference definitions. The inferential equivalence of 3,551 cohort variables to their corresponding reference definition was classified as complete, partial and impossible for 70%, 15% and 15% of the variables, respectively. A harmonized database was delivered. In birth cohorts of asthma and allergies, the harmonization of data for pooled analyses is feasible and may achieve high inferential comparability. The MeDALL harmonization approach can be used in other collaborative projects.|
|Description: ||This paper is closed access until 22 October 2019.|
|Sponsor: ||This work was supported by MeDALL (Mechanisms of the Development of ALLergy), a collaborative project conducted within the European Union under the Health Cooperation Work Programme of the 7th Framework programme (grant 261357).|
|Version: ||Accepted for publication|
|Publisher Link: ||https://doi.org/10.1093/aje/kwy242|
|Appears in Collections:||Closed Access (Sport, Exercise and Health Sciences)|
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