Yujiao Mai
Web: https://yujiaomai.github.io/
Email: yujiaomai@outlook.com
⚛ Professional experience in data analysis and developing statistical tools (R and SAS): General linear models, mixed-effects, Cox models, bootstrap, and simulation
⚛ Experience of statistical consulting and collaborative research in Public Health and Medicine
⚛ Demonstrated capability in preparing manuscript and conference presentationn
⚛ Background in database design and management using SQL/MySQL
South China Normal University, Guangzhou, China
South China Normal University, Guangzhou, China
South China Normal University, Guangzhou, China
St. Jude Children's Research Hospital, TN, USA
■ Improved statistical methods, develop R packages/SAS macros, and published papers
■ Served with statistic consultation for collaboration research to find cancer cures
■ Participated in the clinical research protocol review
University of Central Florida, FL, USA
■ Developed statistical methods and SAS macros for national surveys
■ Investigated topics about smoking policies and tobacco use
■ Helped on grant proposals about smoking policies and tobacco use in the U.S.
■ Mentored students on public health research and conference presentation
■ Offered biostatistics consulting service
University of Notre Dame, IN, USA
■ Key developer and researcher of the web-based statistical data analysis software WebSEM (websem.psychstat.org)(R, mySQL, PHP, Javascript)
■ Key developer and researcher of the web-based statistical power analysis software WebPower (webpower.psychstat.org)(R, mySQL, PHP, Javascript)
■ Led workshops tutoring on the online statistical software WebSEM and WebPower
■ Prepared journal manuscripts and presented research at international conferences
Guangdong University of Foreign Studies, Guangzhou, CHINA
Guangdong University of Foreign Studies, Guangzhou, CHINA
Zhenai.com, Shenzhen, CHINA
■ Improved strategy for customer-relation management using data mining (SPSS and SQL server)
■ Built the statistical dashboards to monitor online user behaviors and business growth
■ Led the project to develop a psychological-personality assessment system for customers
■ Researched human dating behaviors and marriage (couple) compatibility
■ Edited a handbook of mating psychology for customer service and trained the representatives
PEER REVIEWED:
Porter, J.S., Paladino, A.J., Russell, k., Rupff, R., Griffith, J., Mai, Y., Zhang, H., Hankins, J.S., & Wang, W.C. (2021). Nocturnal enuresis in sickle cell: Sociodemographic, medical, and quality of life factors. Journal of Pediatric Psychology, Aug 25, jsab079.
Mai, Y., & Zhang, H. (2021). Classic linear mediation analysis of complex survey data using balanced repeated replication. In: Zhao, Y. & Chen, D. (eds), Modern Statistical Methods for Health Research (pp. 189-204). Emerging Topics in Statistics and Biostatistics. New York, NY: Springer, Cham.
Zheng, J., An, X., Qian, J. Y., Mai, Y., Xu, Z., & Xu, T. (2020). Research letter: ED90 of phenylephrine prophylactic bolus dose to prevent maternal hypotension during cesarean delivery. Journal of Clinical Anesthesia, 64, 109812.
Mai, Y., Ha, T., & Soulakova, J. N. (2019). Multimediation method with balanced repeated replications for analysis of complex surveys. Structural Equation Modeling: A Multidisciplinary Journal, 26 (5), 678-684.
Mai, Y., Ha, T., & Soulakova, J. N. (2019). Workplace smoking restrictions and support for smoking cessation in the USA: state, region, and overall trends from 2010-11 to 2014-15. Journal of Smoking Cessation, 1-10.
Mai, Y., Zhang, Z., & Wen, Z. (2018). Comparing exploratory structural equation modeling and existing approaches for multiple regression with latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 25(5), 737-749.
Mai, Y., & Zhang, Z. (2018). Software packages for Bayesian multilevel modeling. Structural Equation Modeling: A Multidisciplinary Journal, 25(4), 650-658.
Mai, Y., & Soulakova, J. N. (2018). Retrospective reports of former smokers: Receiving doctor's advice to quit smoking and using behavioral interventions for smoking cessation in the United States. Preventive medicine reports, 11, 290-296.
Mai, Y., Leonardo, S., & Soulakova, J. N. (2018). Smoke-free homes among single-parent families: Differences associated with parental race/ethnicity and smoking behaviors. Preventive Medicine Reports, 9, 18-23.
Jiang, G., Mai, Y., & Yuan, K. H. (2017). Advances in measurement invariance and mean comparison of latent variables: equivalence testing and a projection-based approach. Frontiers in psychology, 8, 1823-1823.
Mai, Y., & Zhang, Z. (2017). Statistical power analysis for comparing means with binary or count data based on analogous ANOVA. In: van der Ark L., Wiberg M., Culpepper S., Douglas J., Wang WC. (eds) Quantitative Psychology. IMPS 2016. Springer Proceedings in Mathematics & Statistics (vol 196, pp. 381-393). Cham, Switzerland: Springer.
Mai, Y., & Wen, Z. (2013). Exploratory structural equation modeling: A hybrid of EFA and CFA. Advances in Psychological Science, 21(5), 934-939. (In Chinese)
Mai, Y., Hu, J., Yan, Z., Zhen, S., Wang, S., & Zhang, W. (2012). Structure and function of maladaptive cognitions in Pathological Internet Use among Chinese adolescents. Computers in Human Behavior, 28(6), 2376-2386.
Wang, J., Zhang, W., Zhu, Z., Zhen, S., Mai, Y., & Li, D. (2010). A modulating model for the impacting factors in self-regulated learning of college students. Acta Psychologica Sinica, 42(2), 262−270.
Li, N., Zhang, W., Li, D., Mai, Y., Wang, J., & Xing, W. (2009). Parent-adolescent attachment, emotional intelligence, and aggression in adolescence. Psychological Development and Education, 25(2), 91-96.
Li D., Zhang, W., Li, N., Mai, Y., & Yu, M. (2008). Future time perspective, goal orientation, social connectedness and undergraduates' academic adjustment. Psychological Development and Education, 24(1), 60-65.
UNDER REVIEW:
NON-PEER REVIEWED:
Mai, Y., Srivastava, D. K., & Krull, K. R. (2021). Omega-Generic: Composite Reliability of Multidimensional Measures (version 1.0.1) [Computer Software]. Retrieved from https://CRAN.R-project.org/package=OmegaG
Mai, Y., Srivastava, D. K., & Zhang, H. (2019). MedSurvey: Mediation analysis for complex surveys (version 1.1.1.2.0) [Computer Software]. Retrieved from https://cran.r-project.org/package=MedSurvey
Zhang, Z., & Mai, Y. (2018). Power analysis based on Monte Carlo simulation through diagrams. In: Zhang, Z., & Yuan, K.-H. (eds) Practical Statistical Power Analysis Using WebPower and R (pp. 325-340). Granger, IN: ISDSA Press.
Zhang, Z., & Mai, Y. (2018). 'WebPower': An R package for basic and advanced statistical power analysis (version 0.5) [Computer Software]. Retrieved from https://cran.r-project.org/web/packages/WebPower/WebPower.pdf
Jiang, G., Mai, Y., & Yuan, K. H. (2017). equaltestMI: Examine Measurement Invariance via Equivalence Testing and Projection Method (version 0.6.0) [Computer Software]. Retrieved from https://CRAN.R-project.org/package=equaltestMI
Mai, Y., Zhang, Z., & Yuan, K-H. (2016). An online interface for drawing path diagrams for structural equation modeling [Computer Software]. Retrieved from http://semdiag.psychstat.org
Zhang, Z., Yuan, K.-H., & Mai, Y. (2015-2017). WebPower: Statistical power analysis online [Computer software manual]. Retrieved from http://webpower.psychstat.org
Zhang, Z., Yuan, K.-H., & Mai, Y. (2012-2017). WebSEM: Structural equation modeling online [Computer software manual]. Retrieved from https://websem.psychstat.org
Mai, Y., Srivastava, D. K., & Zhang, H. (2019 Nov). Classic mediation analysis for complex surveys with balanced repeated replications. Invited talk at Biostatistics Seminar of the University of Tennessee Health Science Center, Memphis, Tennessee: US.
Mai, Y., Srivastava, D. K., & Krull, K. R. (2021 March). Estimating the Reliability of a Composite in Multidimensional Measurements with Overlapping Items. Presented at the Eastern North American Region (ENAR) International Biometric Society Spring Meeting 2021, Virtual.
Mai, Y., Ha, T., & Soulakova, J.N. (2020 March). Workplace smoking policies and support for smoking cessation offered to employees who smoke in the US in the period from 2010 to 2015. Presented at the Society for Research on Nicotine and Tobacco Annual Meeting, New Orleans, LA: US.
Mai, Y., Srivastava, D. K., & Zhang, H. (2019 July). Mediation analysis with binary mediators: A new parametric method and R programs. Presented at the 2019 Joint Statistics Meeting, Denver, Colorado: US.
Mai, Y., Xu, J., Srivastava, D. K., & Zhang, H. (2019 July). Mediation analysis for complex surveys with balanced repeated replications. Presented at the International Society for Data Science and Analytics, Nanjing: China.
Mai, Y., Srivastava, D. K., & Zhang, H. (2019 May). SAS macros for linear mediation analysis with complex survey data. Presented at the 2019 The 7th Workshop on Biostatistics and Bioinformatics, Atlanta, Georgia: US.
Tham, T., Mai, Y., & Soulakova, J. N. (2018 March). Mediation analysis of big data: Detecting effect of a mediator. Poster presented at the University of Central Florida 2018 Big Data Series on Healthcare, Orlando, Florida: US.
Soulakova, J. N., & Mai, Y. (2018 Feb). Smoking policy and support for smoking cessation offered at work: Recent trends in the United States. Paper presented at the 24th Annual Meeting of the Society for Research on Nicotine and Tobacco (SRNT), Baltimore, Maryland: US.
Mai, Y., & Zhang, Z. (2016 July). Statistical power for one-way ANOVA with binary or count data. Paper presented at the 81th Annual Meeting of the Psychometric Society (IMPS), Asheville, NC: US.
Mai, Y., & Zhang, Z. (2016 May). Multilevel modeling through path diagramming: An online graphical interface. Poster presented at the 28th APS Annual Convention, Chicago, LI: US.
Mai, Y., & Zhang, Z. (2015 April). A general framework for graphical representation of a statistical model with non-normal data. Paper presented at the 27th APS Annual Convention, New York, NY: US.
Mai, Y., & Wen, Z. (2014 Aug). Regression analysis with multidimensional latent: comparing ESEM and SEM. Poster presented at the 11th Cross-Straits Conference on Educational and Psychological Testing, Taiwan: China.
■ Travel grant for junior faculty or isolated statistician from the Summer Research Conference Southern Regional Council on Statistics, 2018
■ Travel award for graduate student from the International Society for the Study of Behavioral Development biennial meeting, 2014
■ National scholarship for doctoral students from the China Ministry of Education, 2013
■ Award for doctoral student scientific research from South China Normal University, 2012
■ Award for excellent researcher from South China Normal University, 2007
■ Scholarship for undergraduate students from South China Normal University, 2002, 2004
■ PI of the startup grant of IU/TACC (Jetstream) allocation [TG-MTH210004], entitled 'New Estimators for Mediation Effects in Complex Sampling Schemes: A Comparison with Applications', from The Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant [ACI-1548562]. 2021-2022
■ PI of the grant [2012kyjj106] from Graduate School of South China Normal University (Guangzhou, China), entitled 'Application of exploratory structural equation modeling in psychological research'. 2012-2014
■ American Statistical Association (ASA), 2017-present
■ American Association for Cancer Research (AACR), 2020-present
■ International Society for Data Science and Analytics (ISDSA), 2021-present
■ Association for Psychological Science (APS), 2015-2016, 2021-present
■ Board member of the International Society for Data Science and Analytics (ISDSA), 2021-present
■ Guest editor of the Journal of Behavioral Data Science, 2021-present
■ Reviewer of journal papers:
■ 'Machine Learning with Python', course authorized by IBM in 2021 Jan., Coursera
■ 'Data Science Methodology', course authorized by IBM in 2021 Feb., Coursera
■ 'Phase II Clinical Development of New Drugs', course in the 7th Workshop on Biostatistics and bioinformatics 2019 May, Atlanta, GA