Search Results - "Zhang, Shunpu"

A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance by Zhang, Shunpu

“…The Significance Analysis of Microarrays (SAM) is a popular method for detecting significantly expressed genes and controlling the false discovery rate (FDR)…”
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A note on the performance of the gamma kernel estimators at the boundary by Zhang, Shunpu

“…The gamma kernel estimator is proposed in Chen [Chen, S.X., 2000. Probability density function estimation using gamma kernels. Annals of the Institute of…”
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Identifying host-specific amino acid signatures for influenza A viruses using an adjusted entropy measure by Zhang, Yixiang, Eskridge, Kent M., Zhang, Shunpu, Lu, Guoqing

“…Abstract Background Influenza A viruses (IAV) exhibit vast genetic mutability and have great zoonotic potential to infect avian and mammalian hosts and are…”
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The association between post-treatment surveillance testing and survival in stage II and III colon cancer patients: An observational comparative effectiveness study by Hines, Robert B, Jiban, Md Jibanul Haque, Specogna, Adrian V, Vishnubhotla, Priya, Lee, Eunkyung, Zhang, Shunpu

“…The best strategy for surveillance testing in stage II and III colon cancer patients following curative treatment is unknown. Previous randomized controlled…”
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The split sample permutation t-tests by Zhang, Shunpu

“…Without the exchangeability assumption, permutation tests for comparing two population means do not provide exact control of the probability of making a Type I…”
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On correcting the overestimation of the permutation-based false discovery rate estimator by Jiao, Shuo, Zhang, Shunpu

“…Motivation: Recent attempts to account for multiple testing in the analysis of microarray data have focused on controlling the false discovery rate (FDR),…”
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Deconvolution boundary kernel method in nonparametric density estimation by Zhang, Shunpu, Karunamuni, Rohana J.

“…This paper considers the nonparametric deconvolution problem when the true density function is left (or right) truncated. We propose to remove the boundary…”
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t-mixture model approach for detecting differentially expressed genes in microarrays by Jiao, Shuo, Zhang, Shunpu

“…The finite mixture model approach has attracted much attention in analyzing microarray data due to its robustness to the excessive variability which is common…”
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Estimating a Distribution Function at the Boundary by Zhang, Shunpu, Li, Zhong, Zhang, Zhiying

“…Estimation of distribution functions has many real-world applications. We study kernel estimation of a distribution function when the density function has…”
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Improved Empirical Bayes Estimation in Group Testing Procedure for Small Proportions by Fang, Xiang, Stroup, Walter W., Zhang, Shunpu

“…Group testing has been long recognized as an efficient method to classify all the experimental units into two mutually exclusive categories: defective or not…”
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The Association of Supplemental Nutrition Assistance Program Participation and Food Insufficiency among Households with Children in the United States during COVID-19 by Li, Yingru, Zhang, Shunpu, Wang, Liqiang, Lu, Guoqing, Pfeiffer, Ruth, Zou, Zihang

“…As the expansion of Supplemental Nutrition Assistance Program (SNAP) benefits and pandemic emergency assistance programs ended in late 2021, little is known…”
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The associations of oxaliplatin-induced peripheral neuropathy, sociodemographic characteristics, and clinical characteristics with time to fall in older adults with colorectal cancer by Hines, Robert B, Schoborg, Christopher, Sumner, Timothy, Thiesfeldt, Dana-Leigh, Zhang, Shunpu

“…Abstract Our purpose was to investigate the associations between falls and oxaliplatin-induced peripheral neuropathy (OIPN), sociodemographic characteristics,…”
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A new hybrid coding for protein secondary structure prediction based on primary structure similarity by Li, Zhong, Wang, Jing, Zhang, Shunpu, Zhang, Qifeng, Wu, Wuming

“…The coding pattern of protein can greatly affect the prediction accuracy of protein secondary structure. In this paper, a novel hybrid coding method based on…”
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Preventives for oxaliplatin-induced peripheral neuropathy in colorectal cancer patients by Hines, Robert Brooks, Schoborg, Christopher, Zhu, Xiang, Elgin, Elizabeth, Zhang, Shunpu

“…Abstract only 83 Background: For colorectal cancer patients treated with the chemotherapy drug oxaliplatin, oxaliplatin-induced peripheral neuropathy (OIPN) is…”
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The association between sociodemographic, clinical, and potentially preventive therapies with oxaliplatin-induced peripheral neuropathy in colorectal cancer patients by Hines, Robert B., Schoborg, Christopher, Sumner, Timothy, Zhu, Xiang, Elgin, Elizabeth A., Zhang, Shunpu

“…Purpose The purpose of this retrospective cohort study was to evaluate whether several potentially preventive therapies reduced the rate of oxaliplatin-induced…”
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Improvements on the kernel estimation in line transect sampling without the shoulder condition by Zhang, Shunpu

“…Mack et al. (Comm. Statist. A 28 (1999) 2277) proposed to use the boundary kernel method to estimate the wildlife population density from the line transect…”
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Optimal linear Bayes and empirical Bayes estimation and prediction of the finite population mean by Karunamuni, Rohana J., Zhang, Shunpu

“…In this article we investigate the estimation problem of the population mean of a finite population. Both point and interval estimators are of interest from…”
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GENERALIZED LIKELIHOOD RATIO TEST FOR THE SHOULDER CONDITION IN LINE TRANSECT SAMPLING by Zhang, Shunpu

“…We propose a generalized likelihood ratio procedure for testing the shoulder condition of a detection function in line transect sampling. The proposed…”
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Empirical Bayes two-action problem for the continuous one-parameter exponential family with errors in variables by Karunamuni, Rohana J., Zhang, Shunpu

“…In this paper we study the empirical Bayes linear-loss two-action problem for the continuous one-parameter exponential family when the observed data are…”
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On parametric estimation of population abundance for line transect sampling by Zhang, Shunpu

“…Despite recent advances in nonparametric methods for estimating animal abundance, parametric methods are still used widely among biometricians due to their…”
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