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    • Supplemental Material and Methods, Tables S1-S6, Figure S1 from Investigation of Dietary Factors and Endometrial Cancer Risk Using a Nutrient-wide Association Study Approach in the EPIC and Nurses' Health Study (NHS) and NHSII

    openalex（2023）

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    Abstract
    Supplemental Material and Methods, Tables S1-S6, Figure S1 Supplemental Table S1. Hazard Ratiosa and 95% CIs from analyses of nutrient and food intakes (FDR≤0.10) reported in the baseline dietary assessment in relation to endometrial cancer risk in the EPIC study. Supplemental Table S2. Hazard Ratiosa and 95% CIs from analyses of intake of nutrients/foods at baseline (FDR > 0.10) in relation to endometrial cancer risk in the EPIC study. Supplemental Table S3. Age-standardized dietary intake of selected foods/nutrients (FDR≤0.10 in the EPIC studya) at the study baseline in the EPIC, NHS and NHSII study populations. Supplemental Table S4. Hazard Ratiosa and 95% CIs from analyses of intake of selected nutrients/foods at baseline in relation to endometrial cancer risk in the Nurses’ Health Study (NHS) and NHSII. Supplemental Table S5. Hazard Ratiosa and 95% CIs from analyses of the cumulative average intake of selected nutrients/foods in relation to endometrial cancer risk in the Nurses’ Health Study (NHS) and NHSII. Supplemental Table S6. Hazard Ratiosa and 95% CIs from analyses of the cumulative average intake of selected nutrients/foods in relation to invasive endometrial adenocarcinoma risk in the Nurses’ Health Study (NHS) and NHSII. Supplemental Figure S1. Summary of NWAS analytical method to test associations between food and nutrient intake and risk of endometrial cancer (EC.
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
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