Zobrazeno 1 - 10 of 74 pro vyhledávání: '"Gengsheng Qin"'
3
Empirical likelihood-based inferences for median medical cost regression models with censored data
Autor: Guanhao Wei, Gengsheng Qin
Publikováno v: Journal of Biopharmaceutical Statistics. 31:216-232
Recent studies show that medical cost data can be heavily censored and highly skewed, which leads to have more complex cost data analysis. In this paper, we propose influence function and empirical likelihood (EL)-based methods to construct confidenc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d54faf32e53a585f136ad835b356e94
https://doi.org/10.1080/10543406.2020.1821701
Zobrazit plný text záznamu
4
Direct estimation of the area under the receiver operating characteristic curve with verification biased data
Autor: Yan Hai, Gengsheng Qin
Publikováno v: Statistics in Medicine. 39:4789-4820
In medical diagnostic studies, verification of the true disease status might be partially missing based on results of diagnostic tests and other characteristics of subjects. Because estimates of area under the ROC curve (AUC) based on partially valid
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb033a2f6e48e4d6a18748bf0b2ac9ae
https://doi.org/10.1002/sim.8753
Zobrazit plný text záznamu
5
Bayesian and influence function-based empirical likelihoods for inference of sensitivity in diagnostic tests
Autor: Alzheimer’s Disease Neuroimaging Initiative, Yan Hai, Xiaoyi Min, Gengsheng Qin
Publikováno v: Statistical Methods in Medical Research. 29:3457-3491
In medical diagnostic studies, a diagnostic test can be evaluated based on its sensitivity under a desired specificity. Existing methods for inference on sensitivity include normal approximation-based approaches and empirical likelihood (EL)-based ap
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd85c39f5f7e28f4f661c539141e20b8
https://doi.org/10.1177/0962280220929042
Zobrazit plný text záznamu
7
Influence function-based empirical likelihood for inference of quantile medical costs with censored data
Autor: Jenny Jeyarajah, Guanhao Wei, Gengsheng Qin
Publikováno v: Statistical Methods in Medical Research. 29:1913-1934
In this paper, we propose empirical likelihood methods based on influence function and Jackknife techniques to construct confidence intervals for quantile medical costs with censored data. We show that the influence function-based empirical log-likel
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d599eb6e49bc73bc0f32222e346ebc8a
https://doi.org/10.1177/0962280219880573
Zobrazit plný text záznamu
8
Influence function-based empirical likelihood and generalized confidence intervals for the Lorenz curve
Autor: Bing Liu, Gengsheng Qin, Yuyin Shi
Publikováno v: Statistical Methods & Applications. 29:427-446
This paper aims to solve confidence interval estimation problems for the Lorenz curve. First, we propose new nonparametric confidence intervals using the influence function-based empirical likelihood method. We show that the limiting distributions of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a5e8076795a2a8d5e545730a4e0fb80
https://doi.org/10.1007/s10260-019-00482-w
Zobrazit plný text záznamu
9
Confidence intervals for the Youden index and its optimal cut-off point in the presence of covariates
Autor: Jinyuan Chen, Xinjie Hu, Chenxue Li, Gengsheng Qin
Publikováno v: Journal of biopharmaceutical statistics. 31(3)
In medical diagnostic studies, the Youden index is a summary measure widely used in the evaluation of the diagnostic accuracy of a medical test. When covariates are not considered, the diagnostic accuracy of the test can be biased or misleading. By i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba4787be207c6077918f5a71c27c5c59
https://pubmed.ncbi.nlm.nih.gov/33074064
Zobrazit plný text záznamu
10
Protein Conformational Changes in Breast Cancer Sera Using Infrared Spectroscopic Analysis
Autor: Hemendra Ghimire, Gengsheng Qin, Uma Krishnamurti, Emiel A. M. Janssen, A. G. Unil Perera, Chakravarthy Garlapati, Ritu Aneja
Publikováno v: Cancers
Volume 12
Issue 7
Cancers, Vol 12, Iss 1708, p 1708 (2020)
Protein structural alterations, including misfolding and aggregation, are a hallmark of several diseases, including cancer. However, the possible clinical application of protein conformational analysis using infrared spectroscopy to detect cancer-ass
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4eba3904561bcd1e5437e000801792e
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje