Statistical Considerations of Food Allergy Prevention Studies

Henry T Bahnson; George Du Toit; Gideon Lack

doi:10.1016/j.jaip.2016.12.007

Statistical Considerations of Food Allergy Prevention Studies

Henry T Bahnson, George Du Toit, Gideon Lack

King's College London

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

181 Downloads (Pure)

Abstract

Clinical studies to prevent the development of food allergy have recently helped reshape public policy recommendations on the early introduction of allergenic foods. These trials are also prompting new research, and it is therefore important to address the unique design and analysis challenges of prevention trials. We highlight statistical concepts and give recommendations that clinical researchers may wish to adopt when designing future study protocols and analysis plans for prevention studies. Topics include selecting a study sample, addressing internal and external validity, improving statistical power, choosing alpha and beta, analysis innovations to address dilution effects, and analysis methods to deal with poor compliance, dropout, and missing data.

Original language	English
Pages (from-to)	274-282
Number of pages	9
Journal	The Journal of Allergy and Clinical Immunology: In Practice
Volume	5
Issue number	2
Early online date	7 Mar 2017
DOIs	https://doi.org/10.1016/j.jaip.2016.12.007
Publication status	E-pub ahead of print - 7 Mar 2017

Keywords

Prevention studies
Food allergy
Statistical considerations
Complier average causal effect
LEAP
EAT
Dilution effects
Dropout
Imputation
Missing data
Tipping point analysis
Type I error
Type II error

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jaip.2016.12.007Licence: CC BY-NC-ND

Statistical Considerations of Food_BAHNSON_GOLD VoR (CC-BY-NC-ND)Final published version, 959 KBLicence: CC BY-NC-ND

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KW - Food allergy

KW - Statistical considerations

KW - Complier average causal effect

KW - LEAP

KW - EAT

KW - Dilution effects

KW - Dropout

KW - Imputation

KW - Missing data

KW - Tipping point analysis

KW - Type I error

KW - Type II error

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JO - The Journal of Allergy and Clinical Immunology: In Practice

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ER -

Statistical Considerations of Food Allergy Prevention Studies

Abstract

Keywords

UN SDGs

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