D
Douglas Midthune
Researcher at National Institutes of Health
Publications - 94
Citations - 16965
Douglas Midthune is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Population & Food group. The author has an hindex of 46, co-authored 87 publications receiving 14827 citations. Previous affiliations of Douglas Midthune include Silver Spring Networks.
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Permutation tests for joinpoint regression with applications to cancer rates
TL;DR: A joinpoint regression model is applied to describe continuous changes in the recent trend and the grid-search method is used to fit the regression function with unknown joinpoints assuming constant variance and uncorrelated errors.
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Comparative Validation of the Block, Willett, and National Cancer Institute Food Frequency Questionnaires The Eating at America's Table Study
Amy F. Subar,Frances E. Thompson,Victor Kipnis,Douglas Midthune,Paul Hurwitz,Suzanne McNutt,Anna McIntosh,Simon Rosenfeld +7 more
TL;DR: Data show that the DHQ and the Block FFQ are better at estimating absolute intakes than is the Willett FFQ but that, after energy adjustment, all three are more comparable for purposes of assessing diet-disease risk.
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Using Intake Biomarkers to Evaluate the Extent of Dietary Misreporting in a Large Sample of Adults: The OPEN Study
Amy F. Subar,Victor Kipnis,Richard P. Troiano,Douglas Midthune,Dale A. Schoeller,Sheila Bingham,Carolyn Sharbaugh,Jillian Trabulsi,Shirley A. Runswick,Rachel Ballard-Barbash,Joel C. Sunshine,Arthur Schatzkin +11 more
TL;DR: There was little underreporting of the percentage of energy from protein for men or women, and unbiased biomarkers of energy and protein intakes: doubly labeled water and urinary nitrogen have important implications for nutritional epidemiology and dietary surveillance.
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Time-to-Event Analysis of Longitudinal Follow-up of a Survey: Choice of the Time-scale
TL;DR: The authors discuss the appropriate time-scale for proportional hazards regression models, and they recommend that age rather than time since the baseline survey (time-on-study) be used, and control for calendar-period and/or birth cohort effects can be achieved by stratifying the model on birth cohort.
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Structure of Dietary Measurement Error: Results of the OPEN Biomarker Study
Victor Kipnis,Amy F. Subar,Douglas Midthune,Laurence S. Freedman,Rachel Ballard-Barbash,Richard P. Troiano,Sheila Bingham,Dale A. Schoeller,Arthur Schatzkin,Raymond J. Carroll +9 more
TL;DR: Results suggest that the interpretation of findings from FFQ-based epidemiologic studies of diet-disease associations needs to be reevaluated because using the 24HR as a reference instrument can seriously underestimate true attenuation.