BSSM Data Core Member Yang Hou
 

  • Email: yang.hou@med.fsu.edu
     
  • Software: SPSS, R, Mplus, Excel, Redcap
     
  • Study Type: Cross-sectional studies, Cohort studies / longitudinal studies, Clinical trials / interventional studies, Measurement development
     
  • Study Component: Research idea initiating and/or research question/hypothesis generating, Questionnaire or other measurement designing, Power analysis (Sample size calculating), Data collecting, Data cleaning, Data integrating (combining & merging), Data analyses
     
  • Analysis Method: Basic descriptive statistical analyses, t-test, Chi-squared test, Correlation, ANOVA, ANCOVA, Multiple linear regression, Logistic regression, Multilevel models/Mixed models, Structural equation modeling, Inter-rater reliability, Meta-analysis
     
  • Interested Population: Individuals with rare diseases; adolescents in general
     
  • Interested Topic: Neurobehavioral (cognitive, academic, socioemotional, behavioral) development of individuals in underrepresented groups.
     
  • Collaboration Availability: Funding, Co-authorship, Research topic
     
  • Time Availability: For both consultation and detailed actualwork
     
  • Self-Description: Dr. Yang Hou is an assistant professor in the Department of Behavioral Sciences and Social Medicine and Director of the Development, Equity, and Resilience (DEaR) Lab at the College of Medicine at Florida State University. She received a Ph.D. in Human Development and Family Sciences at the University of Texas at Austin. Her research program aims to inform the development of evidence-based intervention programs personalized to marginalized groups to promote their mental health and to advocate patient-centered care through two primary goals: 1) To understand how biopsychosocial factors influence the neurobehavioral (cognitive, academic, socioemotional, behavioral) development in underrepresented groups; 2) To promote clinical and developmental science with advanced quantitative methods. Her current primary line of research aims to use innovative and advanced quantitative methods to provide a more comprehensive understanding of the patterns and predictors of neurobehavioral development of individuals with NF across the lifespan. She is enthusiastic about stimulating collaborative efforts and open science practice to accelerate intellectual discovery in the NF field. She has expertise in various statistical approaches, such as multilevel modeling, time-varying effect modeling, structural equation modeling, and latent profile analysis.