المؤلفون: Daiki Watanabe, Tsukasa Yoshida, Yuya Watanabe, Yosuke Yamada, Motohiko Miyachi, Misaka Kimura

المصدر: International Journal of Behavioral Nutrition and Physical Activity, Vol 20, Iss 1, Pp 1-13 (2023)

مصطلحات موضوعية: Energy intake, Physical activity, Recovery biomarker, Interaction, Dose–response relationship, Nutritional diseases. Deficiency diseases, RC620-627, Public aspects of medicine, RA1-1270

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1479-5868

URL الوصول: https://doaj.org/article/29a09818074e422caf15a7b40fde86ce

المؤلفون: Daiki Watanabe, Tsukasa Yoshida, Yuya Watanabe, Misaka Kimura, Yosuke Yamada, Kyoto–Kameoka Study Group

المصدر: Journal of Cachexia, Sarcopenia and Muscle, Vol 14, Iss 1, Pp 214-225 (2023)

مصطلحات موضوعية: body mass index, doubly labelled water, energy intake, food frequency questionnaire, mortality, recovery biomarker, Diseases of the musculoskeletal system, RC925-935, Human anatomy, QM1-695

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2190-5991; https://doaj.org/toc/2190-6009

URL الوصول: https://doaj.org/article/0b91eac80d4a499ca2a583c9773496f3

المؤلفون: Daiki Watanabe, Tsukasa Yoshida, Yuya Watanabe, Yosuke Yamada, Motohiko Miyachi, Misaka Kimura

مصطلحات موضوعية: Medicine, Physiology, Biotechnology, Sociology, Immunology, Developmental Biology, Cancer, Science Policy, Plant Biology, Energy intake, Physical activity, Recovery biomarker, Interaction, Dose–response relationship

Relation: https://figshare.com/articles/journal_contribution/Additional_file_1_of_Association_between_doubly_labelled_water-calibrated_energy_intake_and_objectively_measured_physical_activity_with_mortality_risk_in_older_adults/24902149

الاتاحة: https://doi.org/10.6084/m9.figshare.24902149.v1
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Association_between_doubly_labelled_water-calibrated_energy_intake_and_objectively_measured_physical_activity_with_mortality_risk_in_older_adults/24902149

المؤلفون: BUSTI, IRENE

مصطلحات موضوعية: stroke, mice, recovery, biomarker

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od_______310::68995b3c715a49230ce1b031ff474f1d
http://hdl.handle.net/2158/1190551

المؤلفون: Siddique, Juned, Daniels, Michael J., Carroll, Raymond J., Raghunathan, Trivellore E., Stuart, Elizabeth A., Freedman, Laurence S.

مصطلحات موضوعية: sodium intake, 24‐hour dietary recall, Multiple imputation, recovery biomarker, Mathematics, Science

وصف الملف: application/pdf

Relation: Siddique, Juned; Daniels, Michael J.; Carroll, Raymond J.; Raghunathan, Trivellore E.; Stuart, Elizabeth A.; Freedman, Laurence S. (2019). "Measurement error correction and sensitivity analysis in longitudinal dietary intervention studies using an external validation study." Biometrics 75(3): 927-937.; https://hdl.handle.net/2027.42/151818; Biometrics; Schenker, N., Raghunathan, T. E., and Bondarenko, I. ( 2010 ). Improving on analyses of self‐reported data in a large‐scale health survey by using information from an examination‐based survey. Statistics in Medicine 29, 533 – 545.; Appel, L. J., Champagne, C. M., Harsha, D. W., Cooper, L. S., Obarzanek, E., Elmer, P. J., et al.( 2003 ). Effects of comprehensive lifestyle modification on blood pressure control: Main results of the PREMIER clinical trial. JAMA 289, 2083 – 2093.; Buzzard, I. M., Faucett, C. L., Jeffery, R. W., McBane, L., McGovern, P., Baxter, J. S., et al.( 1996 ). Monitoring dietary change in a low‐fat diet intervention study: Advantages of using 24‐hour dietary recalls vs food records. Journal of the American Dietetic Association 96, 574 – 579.; Carroll, R., Ruppert, D., Stefanski, L., and Crainiceanu, C. ( 2006 ). Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition. Chapman & Hall/CRC, New York.; Daniels, M. J. and Hogan, J. W. ( 2008 ). Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis. Chapman & Hall/CRC, New York.; Daniels, M. J. and Pourahmadi, M. ( 2009 ). Modeling covariance matrices via partial autocorrelations. Journal of Multivariate Analysis 100, 2352 – 2363.; Espeland, M. A., Kumanyika, S., Wilson, A. C., Wilcox, S., Chao, D., Bahnson, J., et al.( 2001 ). Lifestyle interventions influence relative errors in self‐reported diet intake of sodium and potassium. Annals of Epidemiology 11, 85 – 93.; Forster, J. L., Jeffery, R. W., VanNatta, M., and Pirie, P. ( 1990 ). Hypertension Prevention Trial: Do 24‐h food records capture usual eating behavior in a dietary change study? The American Journal of Clinical Nutrition 51, 253 – 257.; Guo, Y., Little, R. J., and McConnell, D. S. ( 2012 ). On using summary statistics from an external calibration sample to correct for covariate measurement error. Epidemiology 23, 165 – 174.; Hedrick, V. E., Dietrich, A. M., Estabrooks, P. A., Savla, J., Serrano, E., and Davy, B. M. ( 2012 ). Dietary biomarkers: advances, limitations and future directions. Nutrition Journal 11, 109.; Linero, A. R. and Daniels, M. J. ( 2015 ). A flexible bayesian approach to monotone missing data in longitudinal studies with nonignorable missingness with application to an acute schizophrenia clinical trial. Journal of the American Statistical Association 110, 45 – 55.; Natarajan, L., Pu, M., Fan, J., Levine, R. A., Patterson, R. E., Thomson, C. A., et al.( 2010 ). Measurement error of dietary self‐report in intervention trials. American Journal of Epidemiology 172, 819 – 827.; Prentice, R. L., Sugar, E., Wang, C., Neuhouser, M., and Patterson, R. ( 2002 ). Research strategies and the use of nutrient biomarkers in studies of diet and chronic disease. Public Health Nutrition 5, 977 – 984.; Reiter, J. P. ( 2008 ). Multiple imputation when records used for imputation are not used or disseminated for analysis. Biometrika 95, 933 – 946.; Schafer, J. L. ( 2016 ). norm2: Analysis of Incomplete Multivariate Data under a Normal Model. R package version 2.0.1.; Shardell, M., Hicks, G. E., Miller, R. R., Langenberg, P., and Magaziner, J. ( 2010 ). Pattern‐mixture models for analyzing normal outcome data with proxy respondents. Statistics in medicine 29, 1522 – 1538.; Subar, A. F., Kipnis, V., Troiano, R. P., Midthune, D., Schoeller, D. A., Bingham, S., et al.( 2003 ). Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: The OPEN study. American Journal of Epidemiology 158, 1 – 13.; Svetkey, L. P., Harsha, D. W., Vollmer, W. M., Stevens, V. J., Obarzanek, E., Elmer, P. J., et al.( 2003 ). Premier: A clinical trial of comprehensive lifestyle modification for blood pressure control: Rationale, design and baseline characteristics. Annals of Epidemiology 13, 462 – 471.; Willet, W. ( 2013 ). Nutritional Epidemiology, Third Edition. Oxford University Press, New York.; Zhao, J. H. and Schafer, J. L. ( 2016 ). pan: Multiple imputation for multivariate panel or clustered data. R package version 1.4.

الاتاحة: https://hdl.handle.net/2027.42/151818
https://doi.org/10.1111/biom.13044