|Grant Number:||5P01CA053996-35 Interpret this number|
|Primary Investigator:||Prentice, Ross|
|Organization:||Fred Hutchinson Cancer Research Center|
|Project Title:||Statistical Methods for Medical Studies|
DESCRIPTION (provided by applicant): This renewal application proposes to carry out a Program of statistical methods research to address gaps and barriers arising in three biomedical research sectors: Project 1, 'Chronic Disease Population Science Research Issues and Strategies', aims to develop methods that are mostly pertinent to the prevention of cancer and other chronic diseases. These include methods for the analysis of multivariate failure time and longitudinal data, and for disease risks attribution; methods for correcting dietary and physical activity assessment data using biomarkers, and for new biomarker development; methods for using high dimensional genotype data to identify the preferred treatment or intervention for individuals; and methods for biological network development and for preventive intervention development. Project 2, 'Genetic Epidemiology Methods', focuses primarily on methods needed to more fully understand the genetic contribution to disease risk in the post-genome wide association study era. These include methods for identifying combinations of environmental factors that modify genetic effects; methods for rare variant association studies; methods for penetrance function estimation; and methods for using genotype data to facilitate environmental factor association studies. Project 3, 'Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection of Disease', proposes to develop novel study designs for prognostic biomarker evaluation to improve inference on ROC curves through the use of standardized biomarker values; and to develop group sequential design procedures for biomarker evaluation. Collectively, these projects will apply the talents of 15 active biostatistical methodologists, in an interactive and coordinated manner, to address statistical issues that are among the most important for progress in chronic disease population research.
Mendelian randomization studies for a continuous exposure under case-control sampling.
Authors: Dai JY, Zhang XC
Source: Am J Epidemiol, 2015 Mar 15;181(6), p. 440-9.
EPub date: 2015 Feb 21.
Assessing potentially time-dependent treatment effect from clinical trials and observational studies for survival data, with applications to the Women's Health Initiative combined hormone therapy trial.
Authors: Yang S, Prentice RL
Source: Stat Med, 2015 May 20;34(11), p. 1801-17.
EPub date: 2015 Feb 17.
A model to determine colorectal cancer risk using common genetic susceptibility loci.
Authors: Hsu L, Jeon J, Brenner H, Gruber SB, Schoen RE, Berndt SI, Chan AT, Chang-Claude J, Du M, Gong J, Harrison TA, Hayes RB, Hoffmeister M, Hutter CM, Lin Y, Nishihara R, Ogino S, Prentice RL, Schumacher FR, Seminara D, Slattery ML, Thomas DC, Thornquist M, Newcomb PA, Potter JD, Zheng Y, White E, Peters U, Colorectal Transdisciplinary (CORECT) Study, Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO)
Source: Gastroenterology, 2015 Jun;148(7), p. 1330-9.e14.
EPub date: 2015 Feb 13.
Discussion of "the evolution of boosting algorithms" and "extending statistical boosting".
Authors: Bühlmann P, Gertheiss J, Hieke S, Kneib T, Ma S, Schumacher M, Tutz G, Wang CY, Wang Z, Ziegler A
Source: Methods Inf Med, 2014;53(6), p. 436-45.
EPub date: 2014 Nov 14.
Postmenopausal hormone therapy and the risks of coronary heart disease, breast cancer, and stroke.
Authors: Prentice RL
Source: Semin Reprod Med, 2014 Nov;32(6), p. 419-25.
EPub date: 2014 Oct 16.
EM for regularized zero-inflated regression models with applications to postoperative morbidity after cardiac surgery in children.
Authors: Wang Z, Ma S, Wang CY, Zappitelli M, Devarajan P, Parikh C
Source: Stat Med, 2014 Dec 20;33(29), p. 5192-208.
EPub date: 2014 Sep 26.
Covariate measurement error correction methods in mediation analysis with failure time data.
Authors: Zhao S, Prentice RL
Source: Biometrics, 2014 Dec;70(4), p. 835-44.
EPub date: 2014 Aug 19.
Simultaneous association of total energy consumption and activity-related energy expenditure with risks of cardiovascular disease, cancer, and diabetes among postmenopausal women.
Authors: Zheng C, Beresford SA, Van Horn L, Tinker LF, Thomson CA, Neuhouser ML, Di C, Manson JE, Mossavar-Rahmani Y, Seguin R, Manini T, LaCroix AZ, Prentice RL
Source: Am J Epidemiol, 2014 Sep 1;180(5), p. 526-35.
EPub date: 2014 Jul 12.
Robust estimation for secondary trait association in case-control genetic studies.
Authors: Tapsoba Jde D, Kooperberg C, Reiner A, Wang CY, Dai JY
Source: Am J Epidemiol, 2014 May 15;179(10), p. 1264-72.
EPub date: 2014 Apr 9.
Biomarker-calibrated protein intake and bone health in the Women's Health Initiative clinical trials and observational study.
Authors: Beasley JM, LaCroix AZ, Larson JC, Huang Y, Neuhouser ML, Tinker LF, Jackson R, Snetselaar L, Johnson KC, Eaton CB, Prentice RL
Source: Am J Clin Nutr, 2014 Apr;99(4), p. 934-40.
EPub date: 2014 Feb 19.
Sedentary behavior and mortality in older women: the Women's Health Initiative.
Authors: Seguin R, Buchner DM, Liu J, Allison M, Manini T, Wang CY, Manson JE, Messina CR, Patel MJ, Moreland L, Stefanick ML, Lacroix AZ
Source: Am J Prev Med, 2014 Feb;46(2), p. 122-35.
Measurement error corrected sodium and potassium intake estimation using 24-hour urinary excretion.
Authors: Huang Y, Van Horn L, Tinker LF, Neuhouser ML, Carbone L, Mossavar-Rahmani Y, Thomas F, Prentice RL
Source: Hypertension, 2014 Feb;63(2), p. 238-44.
EPub date: 2013 Nov 25.
Modifying effect of obesity on the association between sitting and incident diabetes in post-menopausal women.
Authors: Manini TM, Lamonte MJ, Seguin RA, Manson JE, Hingle M, Garcia L, Stefanick ML, Rodriguez B, Sims S, Song Y, Limacher M
Source: Obesity (Silver Spring), 2014 Apr;22(4), p. 1133-41.
EPub date: 2013 Dec 4.
An exploratory study of respiratory quotient calibration and association with postmenopausal breast cancer.
Authors: Prentice RL, Neuhouser ML, Tinker LF, Pettinger M, Thomson CA, Mossavar-Rahmani Y, Thomas F, Qi L, Huang Y
Source: Cancer Epidemiol Biomarkers Prev, 2013 Dec;22(12), p. 2374-83.
EPub date: 2013 Oct 9.
Associations of serum insulin-like growth factor-I and insulin-like growth factor-binding protein 3 levels with biomarker-calibrated protein, dairy product and milk intake in the Women's Health Initiative.
Authors: Beasley JM, Gunter MJ, LaCroix AZ, Prentice RL, Neuhouser ML, Tinker LF, Vitolins MZ, Strickler HD
Source: Br J Nutr, 2014 Mar 14;111(5), p. 847-53.
EPub date: 2013 Oct 7.
Regression calibration in nutritional epidemiology: example of fat density and total energy in relationship to postmenopausal breast cancer.
Authors: Prentice RL, Pettinger M, Tinker LF, Huang Y, Thomson CA, Johnson KC, Beasley J, Anderson G, Shikany JM, Chlebowski RT, Neuhouser ML
Source: Am J Epidemiol, 2013 Dec 1;178(11), p. 1663-72.
EPub date: 2013 Sep 24.
Case-only method for cause-specific hazards models with application to assessing differential vaccine efficacy by viral and host genetics.
Authors: Dai JY, Li SS, Gilbert PB
Source: Biostatistics, 2014 Jan;15(1), p. 196-203.
EPub date: 2013 Jun 27.
Calibrated predictions for multivariate competing risks models.
Authors: Gorfine M, Hsu L, Zucker DM, Parmigiani G
Source: Lifetime Data Anal, 2014 Apr;20(2), p. 234-51.
EPub date: 2013 May 31.
Factors relating to eating style, social desirability, body image and eating meals at home increase the precision of calibration equations correcting self-report measures of diet using recovery biomarkers: findings from the Women's Health Initiative.
Authors: Mossavar-Rahmani Y, Tinker LF, Huang Y, Neuhouser ML, McCann SE, Seguin RA, Vitolins MZ, Curb JD, Prentice RL
Source: Nutr J, 2013 May 16;12, p. 63.
EPub date: 2013 May 16.