Journal article
Predicting deseasonalised serum 25 hydroxy vitamin D concentrations in the D-Health Trial: an analysis using boosted regression trees
Mary Waterhouse, Catherine Baxter, Briony Duarte Romero, Donald McLeod, Dallas English, Bruce Armstrong, Michael Clarke, Peter Ebeling, Gunter Hartel, Michael Kimlin, Rachel O’Connell, Hai Pham, Rachael Rodney Harris, Jolieke van der Pols, Alison Venn, Penelope Webb, David Whiteman, Rachel Neale
Cold Spring Harbor Laboratory | Published : 2020
Abstract
ABSTRACT Background The D-Health Trial aims to determine whether monthly high-dose vitamin D supplementation can reduce the mortality rate and prevent cancer. We did not have adequate statistical power for subgroup analyses, so could not justify the high cost of collecting blood samples at baseline. To enable future exploratory analyses stratified by baseline vitamin D status, we developed a model to predict baseline serum 25 hydroxy vitamin D [25(OH)D] concentration. Methods We used data and serum 25(OH)D concentrations from participants who gave a blood sample during the trial for compliance monitoring and were randomised to placebo. Data were partitioned into training (80%) and validation..
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