| Semi or Unsupervised Human Activity Recognition Using Deep Learning |
Jiwon Lee |
University of Cincinnati |
IDATA |
Oct 18, 2024 |
IDATA-85 |
| Impact of dietary assessment methods on reports of dietary supplement product use and nutrient intakes among adults in the Interactive Diet and Activity Tracking in AARP (IDATA) study |
Regan Bailey |
Texas A&M, AgriLife |
IDATA |
Oct 18, 2024 |
IDATA-83 |
| Measurement error correction in food substitution analysis |
Tianying Wang |
Colorado State University |
IDATA |
Sep 9, 2024 |
IDATA-81 |
| Accounting for measurement error in high-dimensional metabolomics studies using the LASSO |
Sharon Xie |
University of Pennsylvania |
IDATA |
Sep 4, 2024 |
IDATA-80 |
| New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer Epidemiology |
Donna Spiegelman |
Yale University |
IDATA |
Aug 22, 2024 |
IDATA-79 |
| Accounting for measurement error in studies with repeated measures using LASSO |
Sharon Xie |
University of Pennsylvania |
IDATA |
Aug 22, 2024 |
IDATA-78 |
| Metabolomics profile of an insulinemic dietary pattern and colorectal cancer risk in phenotypically and geographically diverse global populations |
Fred Tabung |
The Ohio State University |
IDATA |
Aug 15, 2024 |
IDATA-77 |
| Poly-metabolite score of adherence to the 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations in the Interactive Diet and Activity Tracking in AARP (IDATA) Study |
Erikka Loftfield |
Erikka Loftfield Cronin |
IDATA |
Jun 14, 2024 |
IDATA-74 |
| Applying Machine Learning To Assess Dietary Patterns |
Weslie Khoo |
Indiana University |
IDATA |
Apr 11, 2024 |
IDATA-72 |
| Predictive Health: Navigating Dietary Dynamics and BMI Trajectories for Chronic Condition Prevention |
Yao-Chi Yu |
Tarleton State University |
IDATA |
Apr 11, 2024 |
IDATA-70 |
| Comparison of net endogenous acid production from dietary self-report instruments against recovery biomarker-derived measures |
Douglas Chang |
National Institute of Diabetes and Digestive and Kidney Diseases |
IDATA |
Mar 21, 2024 |
IDATA-71 |
| Analysis of human energy and water requirements |
Dale Schoeller |
University of Wisconsin |
IDATA |
May 2, 2023 |
IDATA-64 |
| Sleep Duration, Sleep Midpoint, Social Jetlag and Associations with Blood and Urine Metabolites in IDATA |
Joshua Freeman |
National Cancer Institute, Division of Cancer Epidemiology and Genetics |
IDATA |
Feb 24, 2023 |
IDATA-63 |
| Feasibility of Short-term Individualized Dietary Recall Methodology Among U.S. Older Adults |
Alexandra Cowan |
Texas A&M University AgriLife Research, Institute for Advancing Health Through Agriculture |
IDATA |
Feb 10, 2023 |
IDATA-62 |
| Metabolomic markers of physical activity in the IDATA Study |
Eleanor Watts |
National Cancer Institute |
IDATA |
Jan 13, 2023 |
IDATA-61 |
| Sedentary Behavior Patterns: A Latent Class Trajectory Analysis of Within-Day SB Patterns |
Margaret Damare |
The University of North Carolina at Chapel Hill |
IDATA |
Dec 5, 2022 |
IDATA-60 |
| Association between temporal dietary patterns and sedentary behaviors in middle-aged and older adults |
Zain Anderson |
University of North Carolina Chapel Hill |
IDATA |
Dec 5, 2022 |
IDATA-59 |
| Diurnal pattern of physical activity and adherence to physical activity |
Tongyu Ma |
Franklin Pierce University |
IDATA |
Oct 3, 2022 |
IDATA-57 |
| Mitigating measurement error and missing data impact on analysis of food frequency questionnaire data using machine learning methods |
Jennifer Frediani |
Emory University |
IDATA |
Aug 22, 2022 |
IDATA-56 |
| A Systematic Review of the Validity of Dietary Assessment Methods for Measuring Energy Intake of Adults with Class III Obesity |
Valisa Hedrick |
Virginia Tech |
IDATA |
Jul 5, 2022 |
IDATA-55 |
