Surrogate method for partial association between mixed data with application to well-being survey analysis

Authors: Li, Shaobo, Fan, Zhaohu, Liu, Ivy, Morrison, Philip S., Liu, Dungang

Subject Terms: Statistics - Methodology

Access URL: http://arxiv.org/abs/2306.05362

Model diagnostics of discrete data regression: a unifying framework using functional residuals

Authors: Lin, Zewei, Liu, Dungang

Subject Terms: Statistics - Methodology, Economics - Econometrics

Access URL: http://arxiv.org/abs/2207.04299

Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution

Authors: Liu, Dungang, Liu, Regina Y., Xie, Minge

Subject Terms: Statistics - Methodology

Access URL: http://arxiv.org/abs/2011.07047

A new goodness‐of‐fit measure for probit models: Surrogate R2

Authors: Liu, Dungang, Zhu, Xiaorui, Greenwell, Brandon, Lin, Zewei

Source: British journal of mathematical & statistical psychology. 76(1):192-210

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100170154747.0x000001&indx=1&recIds=ETOCvdc_100170154747.0x000001

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Nonparametric Fusion Learning for Multiparameters: Synthesize Inferences From Diverse Sources Using Data Depth and Confidence Distribution

Authors: Liu, Dungang, Liu, Regina Y., Xie, Min-ge

Source: Journal of the American Statistical Association. 117(540):2086-2104

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100169954299.0x000001&indx=1&recIds=ETOCvdc_100169954299.0x000001

Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing

Authors: Liu, Dungang, Li, Shaobo, Yu, Yan, Moustaki, Irini

Source: Journal of the American Statistical Association. 116(534):955-968

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100121581475.0x000001&indx=1&recIds=ETOCvdc_100121581475.0x000001

A new goodness‐of‐fit measure for probit models: Surrogate R².

Authors: Liu, Dungang¹ (AUTHOR) dungang.liu@uc.edu, Zhu, Xiaorui^1,2 (AUTHOR), Greenwell, Brandon¹ (AUTHOR), Lin, Zewei¹ (AUTHOR)

Source: British Journal of Mathematical & Statistical Psychology. Feb2023, Vol. 76 Issue 1, p192-210. 19p.

Subject Terms: *PROBIT analysis, *GOODNESS-of-fit tests, *LATENT variables, *STATISTICAL association, *LEAST squares, *SOCIAL sciences education, *DATA science

Relative efficiency of using summary versus individual data in random‐effects meta‐analysis

Authors: Chen, Ding‐Geng, Liu, Dungang, Min, Xiaoyi, Zhang, Heping

Source: Biometrics. 76(4):1319-1329

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100111742723.0x000001&indx=1&recIds=ETOCvdc_100111742723.0x000001

MODELING HYBRID TRAITS FOR COMORBIDITY AND GENETIC STUDIES OF ALCOHOL AND NICOTINE CO-DEPENDENCE

Authors: Zhang, Heping, Liu, Dungang, Zhao, Jiwei, Bi, Xuan

Source: The Annals of Applied Statistics, 2018 Dec 01. 12(4), 2359-2378.

Access URL: https://www.jstor.org/stable/26666156

Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach

Authors: Liu, Dungang, Zhang, Heping

Source: Journal of the American Statistical Association, 2018 Jun 01. 113(522), 845-854.

Access URL: https://www.jstor.org/stable/45028577

Meta-Analysis Framework for Exact Inferences with Application to the Analysis of Rare Events

Authors: Yang, Guang, Liu, Dungang, Wang, Junyuan, Xie, Min-ge

Source: Biometrics, 2016 Dec 01. 72(4), 1378-1386.

Access URL: https://www.jstor.org/stable/44695355

Efficient network meta-analysis: A confidence distribution approach

Authors: Yang, Guang, Liu, Dungang, Liu, Regina Y., Xie, Minge, Hoaglin, David C.

Source: In Statistical Methodology September 2014 20:105-125

Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness

Authors: Liu, Dungang, Liu, Regina Y., Xie, Minge

Source: Journal of the American Statistical Association, 2015 Mar 01. 110(509), 326-340.

Access URL: http://www.jstor.org/stable/24739307

Exact Meta-Analysis Approach for Discrete Data and its Application to 2 × 2 Tables With Rare Events

Authors: Liu, Dungang, Liu, Regina Y., Xie, Min-ge

Source: Journal of the American Statistical Association, 2014 Dec 01. 109(508), 1450-1465.

Access URL: https://www.jstor.org/stable/24247384

Assessing Partial Association Between Ordinal Variables: A General Framework
Joint statistical meetings

Authors: Liu, Dungang, Li, Shaobo, Yu, Yan

Source: JSM proceedings (CD-ROM edition). 2019:51-2

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606186871&indx=1&recIds=ETOCCN606186871

A new goodness‐of‐fit measure for probit models: Surrogate R².

Authors: Liu, Dungang, Zhu, Xiaorui, Greenwell, Brandon, Lin, Zewei

Source: British Journal of Mathematical & Statistical Psychology; Feb2023, Vol. 76 Issue 1, p192-210, 19p

Subject Terms: PROBIT analysis, GOODNESS-of-fit tests, LATENT variables, STATISTICAL association, LEAST squares, SOCIAL sciences education, DATA science

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