Year |
Citation |
Score |
2020 |
Liang C, Cai J. Bayesian variable selection and estimation in joint confirmatory factor analysis–Cox model Statistics and Its Interface. 13: 49-63. DOI: 10.4310/Sii.2020.V13.N1.A5 |
0.344 |
|
2019 |
Cai J, Liang Z, Sun R, Liang C, Pan J. Bayesian analysis of latent Markov models with non-ignorable missing data Journal of Applied Statistics. 46: 2299-2313. DOI: 10.1080/02664763.2019.1584162 |
0.582 |
|
2018 |
Yeung RO, Cai JH, Zhang Y, Luk AO, Pan JH, Yin J, Ozaki R, Kong APS, Ma R, So WY, Tsang CC, Lau KP, Fisher E, Goggins W, Oldenburg B, et al. Determinants of hospitalization in Chinese patients with type 2 diabetes receiving a peer support intervention and JADE integrated care: the PEARL randomised controlled trial. Clinical Diabetes and Endocrinology. 4: 5. PMID 29541481 DOI: 10.1186/s40842-018-0055-6 |
0.401 |
|
2018 |
Cai J, Liang C. Bayesian analysis of semi-parametric Cox models with latent variables. Statistical Methods in Medical Research. 962280217751520. PMID 29334859 DOI: 10.1177/0962280217751520 |
0.365 |
|
2018 |
Cai J, Ouyang M, Kang K, Song X. Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data. Multivariate Behavioral Research. 1-21. PMID 29324054 DOI: 10.1080/00273171.2017.1407233 |
0.524 |
|
2017 |
Kang K, Cai J, Song X, Zhu H. Bayesian hidden Markov models for delineating the pathology of Alzheimer's disease. Statistical Methods in Medical Research. 962280217748675. PMID 29278101 DOI: 10.1177/0962280217748675 |
0.565 |
|
2017 |
Long E, Xu S, Liu Z, Wu X, Zhang X, Wang J, Li W, Liu R, Chen Z, Chen K, Yu T, Wu D, Zhao X, Chen J, Lin Z, ... ... Cai J, et al. Construction and implications of structural equation modeling network for pediatric cataract: a data mining research of rare diseases. Bmc Ophthalmology. 17: 74. PMID 28526015 DOI: 10.1186/S12886-017-0468-5 |
0.317 |
|
2017 |
Cai J, He H, Song X, Sun L. An additive-multiplicative mean residual life model for right-censored data. Biometrical Journal. Biometrische Zeitschrift. PMID 28271545 DOI: 10.1002/Bimj.201600068 |
0.557 |
|
2017 |
Song X, Kang K, Ouyang M, Jiang X, Cai J. Bayesian Analysis of Semiparametric Hidden Markov Models With Latent Variables Structural Equation Modeling: a Multidisciplinary Journal. 25: 1-20. DOI: 10.1080/10705511.2017.1364968 |
0.604 |
|
2016 |
He H, Cai J, Song X, Sun L. Analysis of proportional mean residual life model with latent variables. Statistics in Medicine. PMID 27859462 DOI: 10.1002/Sim.7174 |
0.576 |
|
2016 |
Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, Adachi H, Adams CM, Adams PD, Adeli K, Adhihetty PJ, Adler SG, Agam G, Agarwal R, Aghi MK, ... Cai J, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. 12: 1-222. PMID 26799652 DOI: 10.1080/15548627.2015.1100356 |
0.417 |
|
2015 |
Cai J, Kim TS, Jang JY, Kim J, Shin K, Lee SP, Choi EK, Kim SH, Park M, Kim JB, Kim YB. Erratum: In vitro and in vivo anti-Helicobacter pylori activities of FEMY-R7 composed of fucoidan and evening primrose extract. Laboratory Animal Research. 31: 99. PMID 26155205 DOI: 10.5625/lar.2015.31.2.99 |
0.356 |
|
2014 |
Gerber DE, Laccetti AL, Chen B, Yan J, Cai J, Gates S, Xie Y, Lee SJ. Predictors and intensity of online access to electronic medical records among patients with cancer. Journal of Oncology Practice / American Society of Clinical Oncology. 10: e307-12. PMID 25006222 DOI: 10.1200/Jop.2013.001347 |
0.376 |
|
2014 |
Jang JY, Kim J, Cai J, Kim Y, Shin K, Kim TS, Lee SP, Park SK, Choi EK, Kim YB. An ethanolic extract of Angelica gigas improves atherosclerosis by inhibiting vascular smooth muscle cell proliferation. Laboratory Animal Research. 30: 84-9. PMID 24999363 DOI: 10.5625/lar.2014.30.2.84 |
0.369 |
|
2014 |
Cai J, Jang JY, Kim J, Shin K, Kim KS, Park D, Kim TS, Lee SP, Ahn B, Choi EK, Lee J, Kim YB. Comparative effects of plant oils on the cerebral hemorrhage in stroke-prone spontaneously hypertensive rats. Nutritional Neuroscience. PMID 24856006 DOI: 10.1179/1476830514Y.0000000132 |
0.362 |
|
2014 |
Cai J, Kim TS, Jang JY, Kim J, Shin K, Lee SP, Choi EK, Kim SH, Park M, Kim JB, Kim YB. In vitro and in vivo anti-Helicobacter pylori activities of FEMY-R7 composed of fucoidan and evening primrose extract. Laboratory Animal Research. 30: 28-34. PMID 24707302 DOI: 10.5625/lar.2014.30.1.28 |
0.357 |
|
2014 |
Jang JY, Kim TS, Cai J, Kim J, Kim Y, Shin K, Kim KS, Lee SP, Kang MH, Choi EK, Rhee MH, Kim YB. Perilla oil improves blood flow through inhibition of platelet aggregation and thrombus formation. Laboratory Animal Research. 30: 21-7. PMID 24707301 DOI: 10.5625/lar.2014.30.1.21 |
0.373 |
|
2014 |
Song XY, Pan D, Liu PF, Cai JH. Bayesian analysis of transformation latent variable models with multivariate censored data. Statistical Methods in Medical Research. PMID 24535555 DOI: 10.1177/0962280214522786 |
0.59 |
|
2014 |
Song X, Cai J, Feng X, Jiang X. Bayesian Analysis of the Functional-Coefficient Autoregressive Heteroscedastic Model Bayesian Analysis. 9: 371-396. DOI: 10.1214/14-Ba865 |
0.538 |
|
2013 |
Jang JY, Kim TS, Cai J, Kim J, Kim Y, Shin K, Kim KS, Park SK, Lee SP, Choi EK, Rhee MH, Kim YB. Nattokinase improves blood flow by inhibiting platelet aggregation and thrombus formation. Laboratory Animal Research. 29: 221-5. PMID 24396387 DOI: 10.5625/lar.2013.29.4.221 |
0.371 |
|
2013 |
Song XY, Lu ZH, Cai JH, Ip EH. A Bayesian modeling approach for generalized semiparametric structural equation models. Psychometrika. 78: 624-47. PMID 24092481 DOI: 10.1007/S11336-013-9323-7 |
0.624 |
|
2012 |
Klionsky DJ, Abdalla FC, Abeliovich H, Abraham RT, Acevedo-Arozena A, Adeli K, Agholme L, Agnello M, Agostinis P, Aguirre-Ghiso JA, Ahn HJ, Ait-Mohamed O, Ait-Si-Ali S, Akematsu T, Akira S, ... ... Cai J, et al. Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy. 8: 445-544. PMID 22966490 DOI: 10.4161/Auto.19496 |
0.419 |
|
2011 |
Cai JH, Song XY, Lam KH, Ip EHS. A mixture of generalized latent variable models for mixed mode and heterogeneous data Computational Statistics and Data Analysis. 55: 2889-2907. DOI: 10.1016/J.Csda.2011.05.011 |
0.589 |
|
2010 |
Cai JH, Song XY, Hser YI. A Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates. Statistics in Medicine. 29: 1861-74. PMID 20680980 DOI: 10.1002/Sim.3915 |
0.611 |
|
2010 |
Cai JH, Song XY. Bayesian analysis of mixtures in structural equation models with non-ignorable missing data. The British Journal of Mathematical and Statistical Psychology. 63: 491-508. PMID 20030969 DOI: 10.1348/000711009X475187 |
0.61 |
|
2010 |
Lee SY, Song XY, Cai JH. A bayesian approach for nonlinear structural equation models with dichotomous variables using logit and probit links Structural Equation Modeling. 17: 280-302. DOI: 10.1080/10705511003659425 |
0.664 |
|
2009 |
Song XY, Lee SY, Ma RC, So WY, Cai JH, Tam C, Lam V, Ying W, Ng MC, Chan JC. Phenotype-genotype interactions on renal function in type 2 diabetes: an analysis using structural equation modelling. Diabetologia. 52: 1543-53. PMID 19479237 DOI: 10.1007/s00125-009-1400-1 |
0.585 |
|
2009 |
Lee SY, Song XY, Cai JH, So WY, Ma CW, Chan CN. Non-linear structural equation models with correlated continuous and discrete data. The British Journal of Mathematical and Statistical Psychology. 62: 327-47. PMID 18590605 DOI: 10.1348/000711008X292343 |
0.668 |
|
2008 |
Cai J, Lee S, Song X. Bayesian analysis of nonlinear structural equation models with mixed continuous, ordered and unordered categorical, and nonignorable missing data Statistics and Its Interface. 1: 99-114. DOI: 10.4310/Sii.2008.V1.N1.A9 |
0.637 |
|
2006 |
Kim E, Cho SW, Yang JY, Cai J, Lee SL, Ohshima H, Jung HS. Tooth survival and periodontal tissues healing of allogenic-transplanted teeth in the mice. Oral Diseases. 12: 395-401. PMID 16792725 DOI: 10.1111/j.1601-0825.2006.01213.x |
0.341 |
|
2003 |
Luo Y, Cai J, Ginis I, Sun Y, Lee S, Yu SX, Hoke A, Rao M. Designing, testing, and validating a focused stem cell microarray for characterization of neural stem cells and progenitor cells. Stem Cells (Dayton, Ohio). 21: 575-87. PMID 12968112 DOI: 10.1634/stemcells.21-5-575 |
0.368 |
|
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