Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Xizhen Cai"'
Autor:
Qing Wang, Xizhen Cai
Publikováno v:
Journal of Statistics and Data Science Education, Vol 32, Iss 2, Pp 202-216 (2024)
AbstractSupport vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the ma
Externí odkaz:
https://doaj.org/article/8c5e10f8c6134a10b89a4d385f601fc1
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Traditional mediation analysis typically examines the relations among an intervention, a time-invariant mediator, and a time-invariant outcome variable. Although there may be a total effect of the intervention on the outcome, ther
Externí odkaz:
https://doaj.org/article/9331b70fd89b4e84905a8f5c8c1a1891
Autor:
Xizhen Cai, Qing Wang
Publikováno v:
Journal of Statistics Education, Vol 28, Iss 3, Pp 280-288 (2020)
To incorporate active learning and cooperative teamwork in statistics classroom, this article introduces a creative three-dimensional educational tool and an in-class activity designed for introducing the topic of agglomerative hierarchical clusterin
Externí odkaz:
https://doaj.org/article/5f098b857cd24eb7bdaf76e165259de6
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-14 (2020)
Abstract Background Causal effect estimation with observational data is subject to bias due to confounding, which is often controlled for using propensity scores. One unresolved issue in propensity score estimation is how to handle missing values in
Externí odkaz:
https://doaj.org/article/34909d5a64f14f719496f5c563390c13
Publikováno v:
Journal of Writing Research, Vol 7, Iss 3, Pp 453-483 (2016)
Citation practices have been and continue to be a concentrated area of research activity among writing researchers, spanning many disciplines. This research presents a re-analysis of a common data set contributed by Karatsolis (this issue), which foc
Externí odkaz:
https://doaj.org/article/918cc818507c41ffb3040da1993905cb
Publikováno v:
Journal of the American Statistical Association. :1-14
We consider a class of network models, in which the connection probability depends on ultrahigh-dimensional nodal covariates (homophily) and node-specific popularity (degree heterogeneity). A Bayesian method is proposed to select nodal features in bo
Autor:
Qing Wang, Xizhen Cai
Publikováno v:
Statistics. 55:660-681
This paper concerns the problem of variance estimation of cross-validation. We consider the unbiased cross-validation risk estimate in the form of a general U-statistic and focus on estimating the ...
Publikováno v:
Computational Statistics & Data Analysis. 174:107501
Background Traditional mediation analysis typically examines the relations among an intervention, a time-invariant mediator, and a time-invariant outcome variable. Although there may be a total effect of the intervention on the outcome, there is a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f0e1b3d53a8b64bad964c7b40d6413f
https://doi.org/10.21203/rs.3.rs-607201/v1
https://doi.org/10.21203/rs.3.rs-607201/v1
Additional file 1: Table S1. Simulation results for scenario A, n = 500, 50%missing. Table S2. Simulation results for scenario G, n = 500, 50%missing. Table S3. Simulation results for scenario A, n = 1000, 25%missing. Table S4. Simulation results for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::021fe21e2305d8d13a870b3a95a707e6