Search Results - "NAISYIN WANG"

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  1. 1

    n-3 Polyunsaturated fatty acids modulate carcinogen-directed non-coding microRNA signatures in rat colon by Davidson, Laurie A., Wang, Naisyin, Shah, Manasvi S., Lupton, Joanne R., Ivanov, Ivan, Chapkin, Robert S.

    Published in Carcinogenesis (New York) (01-12-2009)
    “…We have hypothesized that dietary modulation of intestinal non-coding RNA [microRNA (miRNA)] expression may contribute to the chemoprotective effects of…”
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  2. 2

    Inference for Optimal Differential Privacy Procedures for Frequency Tables by Li, Chengcheng, Wang, Naisyin, Xu, Gongjun

    Published in Journal of Data Science (01-04-2022)
    “…When releasing data to the public, a vital concern is the risk of exposing personal information of the individuals who have contributed to the data set. Many…”
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  3. 3

    Docosahexaenoic acid alters the size and distribution of cell surface microdomains by Chapkin, Robert S., Wang, Naisyin, Fan, Yang-Yi, Lupton, Joanne R., Prior, Ian A.

    Published in Biochimica et biophysica acta (01-02-2008)
    “…We recently generated nutritional data suggesting that chemoprotective dietary n-3 polyunsaturated fatty acids (n-3 PUFA) are capable of displacing acylated…”
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  4. 4

    Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data by Wang, Naisyin, Carroll, Raymond J, Lin, Xihong

    “…We consider marginal generalized semiparametric partially linear models for clustered data. Lin and Carroll derived the semiparametric efficient score function…”
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    Improving Prediction Efficacy Through Abnormality Detection and Data Preprocessing by Tu, Chun-Chen, Chen, Pin-Yu, Wang, Naisyin

    Published in IEEE access (2019)
    “…Abnormal testing data can severely reduce model performance if not processed properly. In this paper, we propose a preprocessing system to handle different…”
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  8. 8

    Inference for imputation estimators by Robins, JM, Wang, N

    Published in Biometrika (01-03-2000)
    “…We derive an estimator of the asymptotic variance of both single and multiple imputation estimators. We assume a parametric imputation model but allow for non-…”
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  9. 9

    The role of docosahexaenoic acid in mediating mitochondrial membrane lipid oxidation and apoptosis in colonocytes by Ng, Yeevoon, Barhoumi, Rola, Tjalkens, Ronald B., Fan, Yang-Yi, Kolar, Satya, Wang, Naisyin, Lupton, Joanne R., Chapkin, Robert S.

    Published in Carcinogenesis (New York) (01-11-2005)
    “…Docosahexaenoic acid (DHA, 22:6 n-3) from fish oil, and butyrate, a fiber fermentation product, work coordinately to protect against colon tumorigenesis in…”
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  10. 10

    Chemopreventive n-3 fatty acids activate RXRα in colonocytes by Fan, Yang-Yi, Spencer, Thomas E., Wang, Naisyin, Moyer, Mary P., Chapkin, Robert S.

    Published in Carcinogenesis (New York) (01-09-2003)
    “…The underlying mechanisms by which n-3 polyunsaturated fatty acids (PUFA) exert a chemopreventive effect in the colon have not been elucidated. Retinoid X…”
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  11. 11

    Efficient semiparametric estimator for heteroscedastic partially linear models by Ma, Yanyuan, Chiou, Jeng-Min, Wang, Naisyin

    Published in Biometrika (01-03-2006)
    “…We study the heteroscedastic partially linear model with an unspecified partial baseline component and a nonparametric variance function. An interesting…”
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    Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data by Lin, Xihong, Wang, Naisyin, Welsh, Alan H., Carroll, Raymond J.

    Published in Biometrika (01-03-2004)
    “…For independent data, it is well known that kernel methods and spline methods are essentially asymptotically equivalent (Silverman, 1984). However, recent work…”
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  14. 14

    Large-sample theory for parametric multiple imputation procedures by WANG, NAISYIN, ROBINS, JAMES M.

    Published in Biometrika (01-12-1998)
    “…We consider the asymptotic behaviour of various parametric multiple imputation procedures which include but are not restricted to the ‘proper’ imputation…”
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  15. 15

    Dietary n-3 polyunsaturated fatty acids promote activation-induced cell death in Th1-polarized murine CD4+ T-cells by Switzer, Kirsten C., Fan, Yang-Yi, Wang, Naisyin, McMurray, David N., Chapkin, Robert S.

    Published in Journal of lipid research (01-08-2004)
    “…Dietary n-3 PUFAs have been shown to attenuate T-cell-mediated inflammation. To investigate whether dietary n-3 PUFAs promote activation-induced cell death…”
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  16. 16

    Smoothing spline estimation in varying-coefficient models by Eubank, R. L., Huang, Chunfeng, Maldonado, Y. Muñoz, Wang, Naisyin, Wang, Suojin, Buchanan, R. J.

    “…Smoothing spline estimators are considered for inference in varying-coefficient models with one effect modifying covariate. Bayesian 'confidence intervals' are…”
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  17. 17

    Profile‐kernel versus backfitting in the partially linear models for longitudinal/clustered data by Hu, Zonghui, Wang, Naisyin, Carroll, Raymond J.

    Published in Biometrika (01-06-2004)
    “…We study the profile‐kernel and backfitting methods in partially linear models for clustered/longitudinal data. For independent data, despite the potential…”
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  18. 18

    Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach by George, Nysia I, Lupton, Joanne R, Turner, Nancy D, Chapkin, Robert S, Davidson, Laurie A, Wang, Naisyin

    Published in BMC bioinformatics (07-01-2010)
    “…Developing and evaluating new technology that enables researchers to recover gene-expression levels of colonic cells from fecal samples could be key to a…”
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  19. 19

    Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models by Wang, Naisyin, Lin, Xihong, Gutierrez, Roberto G., Carroll, Raymond J.

    “…We consider generalized linear mixed models (GLMMs) for clustered data when one of the predictors is measured with error. When the measurement error is…”
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  20. 20

    Selecting the Number of Principal Components in Functional Data by Li, Yehua, Wang, Naisyin, Carroll, Raymond J

    “…Functional principal component analysis (FPCA) has become the most widely used dimension reduction tool for functional data analysis. We consider functional…”
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