Table_2.xls (5.5 kB)
Analysis of curvature in fits of EOR model (2) with or without adjustment for dose errors using regression calibration, for TD-10 doses.
dataset
posted on 2014-01-29, 03:46 authored by Mark P. Little, Alexander G. Kukush, Sergii V. Masiuk, Sergiy Shklyar, Raymond J. Carroll, Jay H. Lubin, Deukwoo Kwon, Alina V. Brenner, Mykola D. Tronko, Kiyohiko Mabuchi, Tetiana I. Bogdanova, Maureen Hatch, Lydia B. Zablotska, Valeriy P. Tereshchenko, Evgenia Ostroumova, André C. Bouville, Vladimir Drozdovitch, Mykola I. Chepurny, Lina N. Kovgan, Steven L. Simon, Victor M. Shpak, Ilya A. LikhtarevAll models have underlying rates adjusted for age (treated categorically) and gender. Unless otherwise stated all CI are profile-likelihood based.
aunless otherwise stated all p-values refer to the improvement in fit of the current row in the Table with that of the model fitted in the row immediately above.
bp-value of improvement in fit compared with a model with no dose terms.
History
Usage metrics
Keywords
biophysicsRadiation biophysicsRadiation effectsRadiation exposurestatisticsBiostatisticsStatistical methodsClinical research designCohort studiesepidemiologyEndocrinologyEndocrine physiologythyroidCancer epidemiologyEnvironmental epidemiologyEpidemiological methodsNon-clinical medicineHealth care policyHealth risk analysisHealth statisticsoncologyCancer detection and diagnosisCancer screeningCancer risk factorsEnvironmental causes of cancerCancers and neoplasmsEndocrine tumorsThyroid lymphomaThyroid, anaplastic carcinomaThyroid, follicular carcinomaThyroid, medullary carcinomaThyroid, papillary carcinomapediatricsPublic healthChild healthradiologyNuclear medicinenuclear physicsRadiometryResearch assessmentResearch validityResearch errorscurvaturefitseorerrorsregressiontd-10
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC