Source: https://maps.cancer.gov/overview/DCCPSGrants/abstract.jsp?applId=9532093&term=CA057030
Timestamp: 2019-04-24 05:23:53+00:00

Document:
DESCRIPTION (provided by applicant): This proposal reflects our continuing interest in the development of new statistical methods, and their application to problems related to diet, physical activity and cancer. The projects mentioned here will be undertaken with NCI scientists specializing in nutrition, physical activity and statistics. The P.I. has visited the NCI on many occasions, including 3 sabbaticals, the most recent being in 2013-2014. An important outgrowth of these continuing relationships is that we have access to a large number of unique data sets, the analysis of which will guide our research program. Locally, besides the P.I., we have assembled a team that has experts in a wide variety of statistical methodology relevant to diet, physical activity and cancer outcomes. In specific aim 1 we will develop new models and methods for the analysis of dietary patterns, a field of major importance in nutrition. This will include analyzing many dietary components simultaneously, estimating from short term instruments the number of people who do not consume certain dietary components, e.g., alcoholic beverages, and building new dietary indices that combine adherence to dietary guidelines with power to predict the risk of cancer and other health outcomes. In specific aim 2, we explain that the assessment of dietary intakes and physical activity is being revolutionized by new technologies, including web-based instruments, increasing use of accelerometers, longer-term studies with repeated dietary assessment, and biomarker studies. To take advantage of these new data structures, we will propose a series of projects including physical activity pattern analysis and risk, within and between individual variance function esti- mation, modeling of time-varying usual dietary intake and physical activity with interactions, and misclassification and measurement error, and latent variable models. In specific aim 3, we will develop new methods for the analysis of case-control studies, including the analysis of gene-environment interactions on risk, efficient semi parametric regression in the analysis of secondary outcomes.
Semiparametrically efficient estimation in quantile regression of secondary analysis.
Authors: Liang L. , Ma Y. , Wei Y. , Carroll R.J. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2018 Sep; 80(4), p. 625-648.
Measurement of Active and Sedentary Behavior in Context of Large Epidemiologic Studies.
Authors: Matthews C.E. , Kozey Keadle S. , Moore S.C. , Schoeller D.S. , Carroll R.J. , Troiano R.P. , Sampson J.N. .
Source: Medicine And Science In Sports And Exercise, 2018 Feb; 50(2), p. 266-276.
Authors: Kim J.S. , Staicu A.M. , Maity A. , Carroll R.J. , Ruppert D. .
Source: Journal Of Computational And Graphical Statistics : A Joint Publication Of American Statistical Association, Institute Of Mathematical Statistics, Interface Foundation Of North America, 2018; 27(1), p. 234-244.
Bayesian Semiparametric Multivariate Density Deconvolution.
Authors: Sarkar A. , Pati D. , Chakraborty A. , Mallick B.K. , Carroll R.J. .
Source: Journal Of The American Statistical Association, 2018; 113(521), p. 401-416.
Dimension reduction and estimation in the secondary analysis of case-control studies.
Authors: Liang L. , Carroll R. , Ma Y. .
Source: Electronic Journal Of Statistics, 2018; 12(1), p. 1782-1821.
Authors: Stalder O. , Asher A. , Liang L. , Carroll R.J. , Ma Y. , Chatterjee N. .
Source: Biometrika, 2017 Dec; 104(4), p. 801-812.
A joint modeling and estimation method for multivariate longitudinal data with mixed types of responses to analyze physical activity data generated by accelerometers.
Authors: Li H. , Zhang Y. , Carroll R.J. , Keadle S.K. , Sampson J.N. , Matthews C.E. .
Source: Statistics In Medicine, 2017-11-10 00:00:00.0; 36(25), p. 4028-4040.
Testing for gene-environment interaction under exposure misspecification.
Authors: Sun R. , Carroll R.J. , Christiani D.C. , Lin X. .
Source: Biometrics, 2017-11-09 00:00:00.0; , .
Three-part joint modeling methods for complex functional data mixed with zero-and-one-inflated proportions and zero-inflated continuous outcomes with skewness.
Authors: Li H. , Staudenmayer J. , Wang T. , Keadle S.K. , Carroll R.J. .
Source: Statistics In Medicine, 2017-10-19 00:00:00.0; , .
Frequentist Standard Errors of Bayes Estimators.
Authors: Lee D. , Carroll R.J. , Sinha S. .
Source: Computational Statistics, 2017 Sep; 32(3), p. 867-888.
Authors: Gao X. , Carroll R.J. .
Source: Biometrika, 2017 Jun; 104(2), p. 251-272.
Functional multiple indicators, multiple causes measurement error models.
Authors: Tekwe C.D. , Zoh R.S. , Bazer F.W. , Wu G. , Carroll R.J. .
Source: Biometrics, 2017-05-08 00:00:00.0; , .
Two Wrongs Make a Right: Addressing Underreporting in Binary Data from Multiple Sources.
Authors: Cook S.J. , Blas B. , Carroll R.J. , Sinha S. .
Source: Political Analysis : An Annual Publication Of The Methodology Section Of The American Political Science Association, 2017 Apr; 25(2), p. 223-240.
Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach.
Authors: Bertrand A. , Legrand C. , Carroll R.J. , De Meester C. , Van Keilegom I. .
Source: Political Analysis : An Annual Publication Of The Methodology Section Of The American Political Science Association, 2017-03-01 00:00:00.0; 104(1), p. 31-50.
Authors: Zhang X. , Cao J. , Carroll R.J. .
Source: Biometrics, 2017-01-11 00:00:00.0; , .
Authors: Keadle S.K. , Sampson J.N. , Li H. , Lyden K. , Matthews C.E. , Carroll R.J. .
Source: Medicine And Science In Sports And Exercise, 2017 Jan; 49(1), p. 54-63.
On the impact of model selection on predictor identification and parameter inference.
Authors: Pfeiffer R.M. , Redd A. , Carroll R.J. .
Source: Computational Statistics, 2017; 32(2), p. 667-690.
Estimation and inference of error-prone covariate effect in the presence of confounding variables.
Authors: Liu J. , Ma Y. , Zhu L. , Carroll R.J. .
Source: Electronic Journal Of Statistics, 2017; 11(1), p. 480-501.
SiAM: A Hybrid of Single Index Models and Additive Models.
Authors: Ma S. , Lian H. , Liang H. , Carroll R.J. .
Source: Electronic Journal Of Statistics, 2017; 11(1), p. 2397-2423.
PLEMT: A NOVEL PSEUDOLIKELIHOOD BASED EM TEST FOR HOMOGENEITY IN GENERALIZED EXPONENTIAL TILT MIXTURE MODELS.
Authors: Hong C. , Chen Y. , Ning Y. , Wang S. , Wu H. , Carroll R.J. .
Source: Journal Of The American Statistical Association, 2017; 112(520), p. 1393-1404.
Linear Model Selection when Covariates Contain Errors.
Authors: Zhang X. , Wang H. , Ma Y. , Carroll R.J. .
Source: Journal Of The American Statistical Association, 2017; 112(520), p. 1553-1561.
A Semiparametric Single-Index Risk Score Across Populations.
Authors: Ma S. , Ma Y. , Wang Y. , Kravitz E.S. , Carroll R.J. .
Source: Journal Of The American Statistical Association, 2017; 112(520), p. 1648-1662.
Authors: Huque M.H. , Bondell H.D. , Carroll R.J. , Ryan L.M. .
Source: Biometrics, 2016 Sep; 72(3), p. 678-86.
Authors: Tooze J.A. , Freedman L.S. , Carroll R.J. , Midthune D. , Kipnis V. .
Source: Biometrical Journal. Biometrische Zeitschrift, 2016-08-23 00:00:00.0; , .
Authors: Bhadra A. , Carroll R.J. .
Source: Statistics And Computing, 2016 Jul; 26(4), p. 827-840.
Authors: Keogh R.H. , Carroll R.J. , Tooze J.A. , Kirkpatrick S.I. , Freedman L.S. .
Source: Statistics In Medicine, 2016-06-20 00:00:00.0; , .
Authors: Huque M.H. , Carroll R.J. , Diao N. , Christiani D.C. , Ryan L.M. .
Source: Genetic Epidemiology, 2016-06-17 00:00:00.0; , .
Authors: Potgieter C.J. , Wei R. , Kipnis V. , Freedman L.S. , Carroll R.J. .
Source: Biometrics, 2016-04-08 00:00:00.0; , .
Authors: Midthune D. , Carroll R.J. , Freedman L.S. , Kipnis V. .
Source: Biostatistics (oxford, England), 2016 Apr; 17(2), p. 277-90.
Authors: Alexeeff S.E. , Carroll R.J. , Coull B. .
Source: Biostatistics (oxford, England), 2016 Apr; 17(2), p. 377-89.
Authors: Zoh R.S. , Mallick B. , Ivanov I. , Baladandayuthapani V. , Manyam G. , Chapkin R.S. , Lampe J.W. , Carroll R.J. .
Source: Biometrics, 2016-04-01 00:00:00.0; , .
A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology.
Authors: Kipnis V. , Freedman L.S. , Carroll R.J. , Midthune D. .
Source: Biometrics, 2016 Mar; 72(1), p. 106-15.
Authors: Peñaranda A. , Garcia E. , Barragán A.M. , Rondón M.A. , Pérez A. , Rojas M.X. , Caraballo L. , Dennis R.J. .
Source: Rhinology, 2016 Mar; 54(1), p. 56-67.
Authors: Chatterjee N. , Chen Y.H. , Maas P. , Carroll R.J. .
Source: Journal Of The American Statistical Association, 2016 Mar; 111(513), p. 107-117.
Authors: Masiuk S.V. , Shklyar S.V. , Kukush A.G. , Carroll R.J. , Kovgan L.N. , Likhtarov I.A. .
Source: Biostatistics (oxford, England), 2016-01-20 00:00:00.0; , .
Authors: Ma Y. , Carroll R.J. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2016 Jan; 78(1), p. 127-151.
Authors: De la Cruz R. , Meza C. , Arribas-Gil A. , Carroll R.J. .
Source: Journal Of Multivariate Analysis, 2016 Jan; 143, p. 94-106.
Authors: Sampson J.N. , Matthews C.E. , Freedman L. , Carroll R.J. , Kipnis V. .
Source: Journal Of Applied Statistics, 2016; 43(9), p. 1706-1721.
Authors: Li H. , Kozey-Keadle S. , Kipnis V. , Carroll R.J. .
Source: Stat (international Statistical Institute), 2016; 5(1), p. 242-250.
Authors: Freedman L.S. , Midthune D. , Dodd K.W. , Carroll R.J. , Kipnis V. .
Source: Statistics In Medicine, 2015-11-30 00:00:00.0; 34(27), p. 3590-605.
In vivo regulation of colonic cell proliferation, differentiation, apoptosis, and P27Kip1 by dietary fish oil and butyrate in rats.
Authors: Hong M.Y. , Turner N.D. , Murphy M.E. , Carroll R.J. , Chapkin R.S. , Lupton J.R. .
Source: Cancer Prevention Research (philadelphia, Pa.), 2015 Nov; 8(11), p. 1076-83.
Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments.
Authors: Freedman L.S. , Midthune D. , Carroll R.J. , Commins J.M. , Arab L. , Baer D.J. , Moler J.E. , Moshfegh A.J. , Neuhouser M.L. , Prentice R.L. , et al. .
Source: Epidemiology (cambridge, Mass.), 2015 Nov; 26(6), p. 925-33.
Authors: Shujie M.A. , Carroll R.J. , Liang H. , Xu S. .
Source: Annals Of Statistics, 2015 Oct; 43(5), p. 2102-2131.
Authors: Wang Y. , Wang S. , Carroll R.J. .
Source: Biometrics, 2015 Sep; 71(3), p. 704-13.
Authors: Yi G.Y. , Ma Y. , Spiegelman D. , Carroll R.J. .
Source: Journal Of The American Statistical Association, 2015-06-01 00:00:00.0; 110(510), p. 681-696.
Authors: Qi X. , Luo R. , Carroll R.J. , Zhao H. .
Source: Journal Of Computational And Graphical Statistics : A Joint Publication Of American Statistical Association, Institute Of Mathematical Statistics, Interface Foundation Of North America, 2015-04-01 00:00:00.0; 24(2), p. 416-438.
Source: Biometrics, 2015 Mar; 71(1), p. 131-8.
Authors: Assaad H.I. , Hou Y. , Zhou L. , Carroll R.J. , Wu G. .
Source: Springerplus, 2015; 4, p. 33.
Authors: Lian H. , Liang H. , Carroll R.J. .
Source: Journal Of The Royal Statistical Society. Series B, Statistical Methodology, 2015-01-01 00:00:00.0; 77(1), p. 171-194.

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