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by
Vouri, Scott Martin, author.
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hazards models following inverse probability of treatment weighting.
by
Weller, Daniel L., author. (orcid)0000-0001-7259-6331
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validated geospatial models that predict when and where pathogen contamination of produce production
by
Abraham, Danielle S., author.
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characteristics, care patterns, and outcomes by sex and reproductive health characteristics. Multiple models of PD
by
Guetterman, Heather, author. (orcid)0000-0003-3346-5552
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binomial regression models were used to examine the associations between dietary variables (i.e., food
by
Kerr, Brendan Thomas, author. (orcid)0000-0003-2233-6464
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significant in models examining baseline height (p =0.05), knee height (p=0.09), and HAZ ( p=0.05). When
by
Smith, Tessa Michelle, author.
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. Models were adjusted for sociodemographic (age, sex, HOME score, household density, maternal education
by
Rao, Shruthi Konakondla Surendra, author. (orcid)0000-0003-0334-8283
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logistic and linear regression models. All analyses were adjusted for age, menopausal status, race, BMI
by
Twardowski, Sarah Elizabeth, author. (orcid)0000-0003-3616-5002
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inclusion in analysis. Multivariable models were adjusted for age, hormone use, frequency of tooth brushing
by
Zheng, Kan Hong, author.
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baseline questionnaire. Cox proportional hazard models were used to estimate crude and multivariate
by
Jasper, Elizabeth, author.
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be used to develop better models for prediction of gastric disease which would have large
by
Sharma, Sonia, author. (orcid)0000-0002-1887-7420
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models. Comparisons between types of jaw injury and between number of jaw injuries on risk of TMD were
by
Xu, Jinyu, author.
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diseases in both human and animal models. However, the influences of lifetime transitions in energy intake

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