Danielle Belgrave
Research Assistant
Role
I work as a statistician for the Manchester Asthma and Allergy Study (MAAS) under the supervision of Professor Adnan Custovic and Professor Angela Simpson. Within this population-based birth cohort, we investigate complex chronic disorders which start in early life. My current projects involve the understanding and implementation of various longitudinal methods to analyse the developmental trajectories of asthma and allergic diseases in childhood. I am also investigating genotype-phenotype asscoiations in these complex diseases.
Memberships of Committees and Professional Bodies
Member of the Royal Statistical Society
Junior Member of the European Acadamy of Allergy and Clinical Immunology
Methodological Knowledge
Longitudinal methods
Growth, trajectory and structural equation modelling
Latent variable modelling
Multiple imputation methods for handling missing data
Survival analysis of multiple event data
Qualifications
BSc Business Mathematics and Statistics (London School of Economics)
MSc in Statistics (University College London)
Dissertation: Investigation of the Placebo effect in Randomised Clinical Trials for Depression
Publications
2012
- Angela Simpson, Adnan Custovic, Robert Tepper, Penelope Graves, Debra A. Stern, Marcus Jones, Jenny Hankinson, John A. Curtin, Jiakai Wu, Mario Blekic, Blazenka Kljaic Bukvic, Neda Aberle, Susana Marinho, Danielle Belgrave, Wayne J. Morgan, and Fernando D. Martinez. (2012). Genetic Variation in Vascular Endothelial Growth Factor-A and Lung Function. American Journal of Respiratory and Critical Care Medicine, 185(11), 1197-1204. eScholarID:165612 | DOI:10.1164/rccm.201112-2191OC
2011
- Belgrave D, Bishop CM, Custovic A, Simpson A, Semic-Jusufagic A, Pickles A, Buchan IA. Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma. Presented at International Workshop of Statistical Modelling. Valencia. eScholarID:156933
- Nicolaou N, Murray C, Belgrave D,Poorafshar M, Simpson A, Custovic A. (2011). Quantification of specific IgE to whole peanut extract and peanut components in prediction of peanut allergy. The Journal of allergy and clinical immunology, 127(3), eScholarID:156930
