| Name
|
Principal Investigator
|
Institution
|
Study
|
Date Approved
|
Project ID
|
| Bias-correction of relative risks by robustly incorporating validation studies that include multiple methods of physical activity assessment and related biomarkers |
Xin Zhou |
Yale University |
IDATA |
Nov 7, 2019 |
IDATA-32 |
| Establishing Equivalence of Commonly Used Physical Activity Measures Using Testing Equating |
Zezhao Chen |
University of Illinois at Urbana Champaign |
IDATA |
Aug 19, 2019 |
IDATA-28 |
| Measurement error methods for wearable device data, treating daily measurements as imprecise draws from long-term average |
Dane Van Domelen |
Johns Hopkins Bloomberg School of Public Health |
IDATA |
Apr 29, 2019 |
IDATA-30 |
| Establishing a Physical Activity Regularity Index |
Seth Creasy |
University of Colorado Denver |
IDATA |
Mar 21, 2019 |
IDATA-29 |
| Accuracy of physical activity and eating behavior assessment with diverse outcome measures in 50 - 74-year-old adults |
Alexis Ortiz |
Texas Woman's University-Houston |
IDATA |
Mar 21, 2019 |
IDATA-3 |
| Temporal variation in the oral microbiota in the Interactive Diet and Activity Tracking in AARP Study |
Emily Vogtmann |
National Cancer Institute |
IDATA |
Dec 18, 2018 |
2018-0020 |
| Comparative analysis of scoring methods for the Healthy Eating Index-2015 across three dietary assessment instruments in IDATA |
Edwina Wambogo |
National Institutes of Health |
IDATA |
Oct 16, 2018 |
IDATA-26 |
| Functional Relationships between Body Composition, Energy Expenditure and Daily Food Intake |
Mark Hopkins |
University of Leeds |
IDATA |
Oct 9, 2018 |
IDATA-23 |
| Harmonisation of physical activity measures |
Soren Brage |
MRC Epidemiology Unit, University of Cambridge |
IDATA |
Oct 2, 2018 |
IDATA-24 |
| Use of previous-day recalls of physical activity and sedentary behavior in epidemiologic studies: results from four instruments |
Charles Matthews |
NCI / DCEG / Metabolic Epidemiology Branch |
IDATA |
Aug 27, 2018 |
IDATA-25 |
| Characterizing Free-Living Stepping Behavior |
Kate Lyden |
KAL Research|Consulting, PAL Technologies |
IDATA |
May 14, 2018 |
IDATA-21 |
| Revising free text inputs in physical activity self-report methods: Lessons from the ACT24 |
Robert Korycinski |
National Cancer Institute |
IDATA |
Jan 31, 2018 |
IDATA-20 |
| Influence of accelerometer calibration approach on MVPA estimates for adults |
charles matthews |
NCI / DCEG / Metabolic Epidemiology Branch |
IDATA |
Jan 2, 2018 |
IDATA-19 |
| Does Exclusion of Extreme Reporters of Energy Intake Make Results Less Biased in Nutrition Studies? |
Keisuke Ejima |
Indiana University |
IDATA |
Nov 20, 2017 |
IDATA-17 |
| The interaction effect of sleep and physical activity on energy expenditure. |
Gregory Knell |
The University of Texas Health Science Center (UTHealth) at Houston |
IDATA |
Nov 13, 2017 |
IDATA-16 |
| Association between total energy expenditure, physical activity, and sedentary time in older adults |
Erik Willis |
National Cancer Institute |
IDATA |
Nov 2, 2017 |
IDATA-18 |
| Influence of exercise or prolonged television viewing days on physical activity and sedentary behaviors in older adults |
charles matthews |
NCI/DCEG |
IDATA |
Aug 8, 2017 |
IDATA-13 |
| Temporal dietary patterns and diet quality |
Yikyung Park |
Washington University in St. Louis |
IDATA |
Jun 30, 2017 |
IDATA-11 |
| Time-Varying Measurement Error Models |
Raymond Carroll |
Texas A&M University |
IDATA |
Jun 30, 2017 |
IDATA-10 |
| REPRODUCIBILITY OF PHYSICAL ACTIVITY MEASURES IN ADULTS AND IMPLICATIONS FOR EPIDEMIOLOGICAL STUDIES |
Pedro Saint-Maurice |
NCI |
IDATA |
Jun 14, 2017 |
IDATA-12 |
