Parametric and Nonparametric Methods for Understanding the Relationship Between Carcinogen-Induced DNA Adduct Levels in Distal and Proximal Regions of the Colon

DOI10.1198/016214501753208528zbMath1072.62666OpenAlexW2046798323WikidataQ58450261 ScholiaQ58450261MaRDI QIDQ4468283

Naisyin Wang, Joanne R. Lupton, Nancy D. Turner, Jeffrey S. Morris, Mee Young Hong, Robert S. Chapkin, Raymond J. Carroll

Publication date: 10 June 2004

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/016214501753208528

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Medical applications (general) (92C50)

Related Items (6)

A semiparametric regression model for paired longitudinal outcomes with application in childhood blood pressure development ⋮ Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments ⋮ Semiparametric estimation for joint modeling of colorectal cancer risk and functional biomarkers measured with errors ⋮ Fast methods for spatially correlated multilevel functional data ⋮ Selecting the Number of Principal Components in Functional Data ⋮ Testing for Spatial Correlation in Nonstationary Binary Data, with Application to Aberrant Crypt Foci in Colon Carcinogenesis

Uses Software

• fda (R)

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