This proposal reflects our continuing interest in solving problems of measurement error, missing data in general regression settings. The proposed research topics naturally arise from two important studies: (i) Colon Cancer Tumorigenesis Project, which consists of a series of experiments to study colon cancer tumorigenesis at the cellular level, and (ii) Prostate Cancer Outcomes Study, which is the largest multicenter observational study to investigate the link between medical practices in the uncontrolled real-world environment and health-related quality of life (HRQOL) among men diagnosed with prostate cancer. We propose to study five primary research topics: Developing efficient generalized estimating equation (GEE) procedure under non- and semi-parametric marginal regression models. Estimating a dynamic correlation between two variables, such as apoptosis (cell death) and DNA adduct damage, as a function of a continuous covariate, cell positions within a colon crypt. Developing methodologies to accommodate a new type of covariate measurement error problem caused by using predictions from a secondary mixed model as the covariate in the primary model. Accommodating analyses of incomplete data through utilizing various multiple imputation procedures including non- and semi-parametric imputations. Adopting approximate saddle point methods to statistical inferences that are suitable to analyze data from a small number of subjects/clusters/units. The major focus of the proposal is development of efficient, easily calculable methods without imposing unnecessary parametric assumptions. Special emphasis will be given to correlated observations collected from longitudinal and clustered studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA074552-07
Application #
6605777
Study Section
Special Emphasis Panel (ZRG1-SNEM-5 (01))
Program Officer
Erickson, Burdette (BUD) W
Project Start
1997-04-21
Project End
2006-03-31
Budget Start
2003-04-01
Budget End
2004-03-31
Support Year
7
Fiscal Year
2003
Total Cost
$172,781
Indirect Cost
Name
Texas A&M University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
078592789
City
College Station
State
TX
Country
United States
Zip Code
77845
Jiang, Bei; Sammel, Mary D; Freeman, Ellen W et al. (2015) Bayesian estimation of associations between identified longitudinal hormone subgroups and age at final menstrual period. BMC Med Res Methodol 15:106
Mukherjee, A; Chen, K; Wang, N et al. (2015) On the degrees of freedom of reduced-rank estimators in multivariate regression. Biometrika 102:457-477
Li, Yun; Zhu, Ji; Wang, Naisyin (2015) Regularized Semiparametric Estimation for Ordinary Differential Equations. Technometrics 57:341-350
Jiang, Bei; Wang, Naisyin; Sammel, Mary D et al. (2015) Modeling Short- and Long-Term Characteristics of Follicle Stimulating Hormone as Predictors of Severe Hot Flashes in Penn Ovarian Aging Study. J R Stat Soc Ser C Appl Stat 64:731-753
Jiang, Bei; Elliott, Michael R; Sammel, Mary D et al. (2015) Joint modeling of cross-sectional health outcomes and longitudinal predictors via mixtures of means and variances. Biometrics 71:487-97
Hu, Zonghui; Follmann, Dean A; Wang, Naisyin (2014) Estimation of mean response via effective balancing score. Biometrika 101:613-624
Zhou, Jianhui; Wang, Nae-Yuh; Wang, Naisyin (2013) Functional Linear Model with Zero-value Coefficient Function at Sub-regions. Stat Sin 23:25-50
Li, Yehua; Wang, Naisyin; Carroll, Raymond J (2013) Selecting the Number of Principal Components in Functional Data. J Am Stat Assoc 108:
Cho, Youngmi; Kim, Hyemee; Turner, Nancy D et al. (2011) A chemoprotective fish oil- and pectin-containing diet temporally alters gene expression profiles in exfoliated rat colonocytes throughout oncogenesis. J Nutr 141:1029-35
Kuskie, Kyle R; Smith, Jacqueline L; Wang, Naisyin et al. (2011) Effects of location for collection of air samples on a farm and time of day of sample collection on airborne concentrations of virulent Rhodococcus equi at two horse breeding farms. Am J Vet Res 72:73-9

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