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Is menu design effective? A p-curving analysis Journal article
Chark, Robin, IP, Michael Man Him. Is menu design effective? A p-curving analysis[J]. International Journal of Hospitality Management, 2023, 108.
Authors:  Chark, Robin;  IP, Michael Man Him
Favorite | TC[WOS]:5 TC[Scopus]:9  IF:9.9/10.3 | Submit date：2023/02/08
Evidential Value  Experiments  Menu Design  P-curve  P-hacking  Restaurants  
Modeling tourists’ preference between hotels and peer-to-peer (P2P) sharing accommodation: a pre- and post-COVID-19 comparison Journal article
Ye, Shun, Lei, Sut Ieng, Zhao, Xiaoyou, Zhu, Lin, Law, Rob. Modeling tourists’ preference between hotels and peer-to-peer (P2P) sharing accommodation: a pre- and post-COVID-19 comparison[J]. INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2022, 35(4), 1423-1447.
Authors:  Ye, Shun;  Lei, Sut Ieng;  Zhao, Xiaoyou;  Zhu, Lin;  Law, Rob
Favorite | TC[WOS]:16 TC[Scopus]:17  IF:9.1/8.9 | Submit date：2023/01/30
Hotel  Peer-to-peer (P2p) Sharing Accommodation  Relative Preference Model  The Covid-19  Value Attributes  
Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees Journal article
Zhang,Hengmin, Qian,Jianjun, Zhang,Bob, Yang,Jian, Gong,Chen, Wei,Yang. Low-Rank Matrix Recovery via Modified Schatten p Norm Minimization with Convergence Guarantees[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 29, 3132-3142.
Authors:  Zhang,Hengmin;  Qian,Jianjun;  Zhang,Bob;  Yang,Jian;  Gong,Chen; et al.
Favorite | TC[WOS]:49 TC[Scopus]:52  IF:10.8/12.1 | Submit date：2021/03/11
Low-rank Matrix Recovery  Modified Schatten-p Norm  Iterative Singular Value Thresholding Algorithm  Kurdyka-łojasiewicz Property  Convergence Guarantees  
The use of SSMD-based false discovery and false nondiscovery rates in genome-scale RNAi screens Journal article
Zhang X.D., Lacson R., Yang R., Marine S.D., McCampbell A., Toolan D.M., Hare T.R., Kajdas J., Berger J.P., Holder D.J., Heyse J.F., Ferrer M.. The use of SSMD-based false discovery and false nondiscovery rates in genome-scale RNAi screens[J]. Journal of Biomolecular Screening, 2010, 15(9), 1123-1131.
Authors:  Zhang X.D.;  Lacson R.;  Yang R.;  Marine S.D.;  McCampbell A.; et al.
Favorite | TC[WOS]:19 TC[Scopus]:23 | Submit date：2019/01/03
-value  False Discovery Rate  False Nondiscovery Rate  High-throughput Screening  p  q  Rnai  
An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens Journal article
Zhang X.D.. An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens[J]. Journal of Biomolecular Screening, 2010, 15(9), 1116-1122.
Authors:  Zhang X.D.
Favorite | TC[WOS]:15 TC[Scopus]:18 | Submit date：2019/01/03
-value  False Discovery Rate  False Nondiscovery Rate  p  q  Rnai High-throughput Screening  
Strictly Standardized Mean Difference,Standardized Mean Difference and Classical t-test for the Comparison of Two Groups Journal article
Xiaohua Douglas Zhang. Strictly Standardized Mean Difference,Standardized Mean Difference and Classical t-test for the Comparison of Two Groups[J]. Statistics in biopharmaceutical research, 2010, 2(2), 292-299.
Authors:  Xiaohua Douglas Zhang
Favorite | TC[WOS]:28 TC[Scopus]:0  IF:1.5/1.5 | Submit date：2019/02/21
Cohen's d  d+-probability  Effect Size  P-value