Storz M, Stubing F, Hannibal L, Huber R
Nutr J. 2025; 24(1):39.
PMID: 40075422
PMC: 11899309.
DOI: 10.1186/s12937-025-01105-9.
Agogo G, Verani J, Otieno N, Nyawanda B, Widdowson M, Chaves S
Front Med (Lausanne). 2023; 10:1222772.
PMID: 37901408
PMC: 10613090.
DOI: 10.3389/fmed.2023.1222772.
Agogo G, Muchene L, Orindi B, Murphy T, Mwambi H, Allore H
Ann Epidemiol. 2023; 82:8-15.
PMID: 36972757
PMC: 10239394.
DOI: 10.1016/j.annepidem.2023.03.007.
Haghighatdoost F, Mohammadifard N, Zakeri P, Najafian J, Sadeghi M, Roohafza H
Sci Rep. 2023; 13(1):3396.
PMID: 36854962
PMC: 9974986.
DOI: 10.1038/s41598-023-30455-9.
Shim S, Jung S, Kim S, Kim H
Clin Hypertens. 2023; 29(1):3.
PMID: 36641485
PMC: 9840828.
DOI: 10.1186/s40885-022-00227-0.
Reliability of Questionnaire-Based Dose Reconstruction: Human Factor Uncertainties in the Radiation Dosimetry of Chernobyl Cleanup Workers.
Drozdovitch V, Chizhov K, Chumak V, Bakhanova E, Trotsyuk N, Bondarenko P
Radiat Res. 2022; 198(2):172-180.
PMID: 35604875
PMC: 9384793.
DOI: 10.1667/RADE-21-00207.1.
Dietary diversity and diet quality with gestational weight gain and adverse birth outcomes, results from a prospective pregnancy cohort study in urban Tanzania.
Yang J, Wang M, Tobias D, Rich-Edwards J, Darling A, Abioye A
Matern Child Nutr. 2021; 18(2):e13300.
PMID: 34908233
PMC: 8932689.
DOI: 10.1111/mcn.13300.
Isolation and characterization of the primary epithelial breast cancer cells and the adjacent normal epithelial cells from Iranian women's breast cancer tumors.
Faridi N, Bathaie S, Abroun S, Farzaneh P, Karbasian H, Tamanoi F
Cytotechnology. 2018; 70(2):625-639.
PMID: 29380298
PMC: 5851957.
DOI: 10.1007/s10616-017-0159-3.
The connecting health and technology study: a 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults.
Kerr D, Harray A, Pollard C, Dhaliwal S, Delp E, Howat P
Int J Behav Nutr Phys Act. 2016; 13:52.
PMID: 27098449
PMC: 4839101.
DOI: 10.1186/s12966-016-0376-8.
Fruit and vegetable consumption in relation to hepatocellular carcinoma in a multi-centre, European cohort study.
Bamia C, Lagiou P, Jenab M, Aleksandrova K, Fedirko V, Trichopoulos D
Br J Cancer. 2015; 112(7):1273-82.
PMID: 25742480
PMC: 4385950.
DOI: 10.1038/bjc.2014.654.
"How Hard Could it Be?" A Descriptive Analysis of Errors Made on a Validated Lifetime Physical Activity Questionnaire.
Anderton N, Newhouse M, Ainsworth B, Nygaard I, Egger M, Shaw J
J Phys Act Health. 2014; 12(3):388-94.
PMID: 24809450
PMC: 4324375.
DOI: 10.1123/jpah.2013-0247.
Glycemic index, glycemic load, dietary carbohydrate, and dietary fiber intake and risk of liver and biliary tract cancers in Western Europeans.
Fedirko V, Lukanova A, Bamia C, Trichopolou A, Trepo E, Nothlings U
Ann Oncol. 2012; 24(2):543-553.
PMID: 23123507
PMC: 3551485.
DOI: 10.1093/annonc/mds434.
Bias and imprecision in posture percentile variables estimated from short exposure samples.
Mathiassen S, Wahlstrom J, Forsman M
BMC Med Res Methodol. 2012; 12:36.
PMID: 22443348
PMC: 3359227.
DOI: 10.1186/1471-2288-12-36.
Recommendations to improve the accuracy of estimates of physical activity derived from self report.
Ainsworth B, Caspersen C, Matthews C, Masse L, Baranowski T, Zhu W
J Phys Act Health. 2012; 9 Suppl 1:S76-84.
PMID: 22287451
PMC: 3544158.
DOI: 10.1123/jpah.9.s1.s76.
Regression calibration when foods (measured with error) are the variables of interest: markedly non-Gaussian data with many zeroes.
Fraser G, Stram D
Am J Epidemiol. 2012; 175(4):325-31.
PMID: 22268227
PMC: 3271814.
DOI: 10.1093/aje/kwr316.
Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.
Colditz G
Crit Rev Food Sci Nutr. 2010; 50 Suppl 1:10-2.
PMID: 21132580
PMC: 3024848.
DOI: 10.1080/10408398.2010.526838.
Prevention trials: their place in how we understand the value of prevention strategies.
Colditz G, Taylor P
Annu Rev Public Health. 2010; 31:105-20.
PMID: 20070190
PMC: 3618690.
DOI: 10.1146/annurev.publhealth.121208.131051.
Ensuring long-term sustainability of existing cohorts remains the highest priority to inform cancer prevention and control.
Colditz G
Cancer Causes Control. 2010; 21(5):649-56.
PMID: 20063074
PMC: 2855811.
DOI: 10.1007/s10552-009-9498-5.
Conventional analyses of data from dietary validation studies may misestimate reporting accuracy: illustration from a study of the effect of interview modality on children's reporting accuracy.
Smith A, Baxter S, Hardin J, D Nichols M
Public Health Nutr. 2007; 10(11):1247-56.
PMID: 17381899
PMC: 2587272.
DOI: 10.1017/S136898000768714X.
Re-interpreting conventional interval estimates taking into account bias and extra-variation.
Hofler M, Seaman S
BMC Med Res Methodol. 2006; 6:51.
PMID: 17042949
PMC: 1618852.
DOI: 10.1186/1471-2288-6-51.