Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Chun-Shu Chen"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4008-4016 (2023)
Patients who experience upper-limb paralysis after stroke require continual rehabilitation. Rehabilitation must be evaluated for appropriate treatment adjustment; such evaluation can be performed using inertial measurement units (IMUs) instead of sta
Externí odkaz:
https://doaj.org/article/70a27e09d2bc49b18096f5412b52965b
Publikováno v:
Environmental and Ecological Statistics. 27:175-202
For spatial linear regression, the traditional approach to capture spatial dependence is to use a parametric linear mixed-effects model. Spline surfaces can be used as an alternative to capture spatial variability, giving rise to a semiparametric met
Autor:
Chun-Shu Chen, Chung Wei Shen
Publikováno v:
Statistics in medicineREFERENCES. 41(16)
In many medical and social science studies, count responses with excess zeros are very common and often the primary outcome of interest. Such count responses are usually generated under some clustered correlation structures due to longitudinal observ
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19
Publikováno v:
J Appl Stat
In a systematic review of a diagnostic performance, summarizing performance metrics is crucial. There are various summary models in the literature, and hence model selection becomes inevitable. However, most existing large-sample-based model selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86fd864d87b64f3039fdee158d5d71fb
https://europepmc.org/articles/PMC10071901/
https://europepmc.org/articles/PMC10071901/
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 33:1535-1551
Spatial regression models are often used to analyze the ecological and environmental data sets over a continuous spatial support. Issues of collinearity among covariates have been widely discussed in modeling, but only rarely in discussing the relati
Autor:
Chun Shu Chen, Chung-Wei Shen
Publikováno v:
Statistics in Medicine. 37:2982-2997
In medical and health studies, longitudinal and cluster longitudinal data are often collected, where the response variable of interest is observed repeatedly over time and along with a set of covariates. Model selection becomes an active research top
Autor:
Yi Tsz Huang, Chun Shu Chen
Publikováno v:
Communications in Statistics - Theory and Methods. 47:1307-1317
The smoothing spline method is used to fit a curve to a noisy data set, where selection of the smoothing parameter is essential. An adaptive Cp criterion (Chen and Huang 2011) based on the Stein’s unbiased risk estimate has been proposed to select
Autor:
Chun Shu Chen, Chao Sheng Chen
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 32:341-355
Spatial prediction and variable selection for the study area are both important issues in geostatistics. If spatially varying means exist among different subareas, globally fitting a spatial regression model for observations over the study area may b
Publikováno v:
Spatial Statistics. 41:100476
In spatial regression analysis, a suitable specification of the mean regression model is crucial for unbiased analysis. Also, to enhance statistical efficiency of the mean regression analysis, we need to suitably account for the underlying spatial co
Publikováno v:
Communications in Statistics - Theory and Methods. 46:9364-9376
In medical studies, Cox proportional hazards model is a commonly used method to deal with the right-censored survival data accompanied by many explanatory covariates. In practice, the Akaike's information criterion (AIC) or the Bayesian information c