Yanling Li
Yanling's research lies in the development and application of methods for studying inter-individual differences in intra-individual changes to address questions related to substance use, as well as software tools to facilitate the dissemination of statistical methods.
Awards and honors:
- 2018-2019, Hintz Graduate Educational Enhancement Fellowship
Departmental roles:
- 2021-2022, Co-chair of HDFS International Student Support Committee
Li, Y., Ji, L., Oravecz, Z., & Chow, S-M. (In progress). Handling Missing Data in Process Factor Analysis With Vector Autoregressive Relations Between Latent Factors.
Zhou S., Li, Y., Chi, G., Oravecz, Z., Bodovski, Y., Friedman, N.P., Vrieze, S.I., & Chow, S-M. (Conditionally accepted). GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data. Journal of Behavioral Data Science.
Li, Y., Oravecz, Z., Zhou, S., Bodovski, Y., Barnett, I.J., Chi, G., Zhou, Y., Friedman, N.P., Vrieze, S.I., & Chow, S-M. (Accepted). Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates. Psychometrika.
Li, Y., Wood, J., Ji, L., Chow, S-M. & Oravecz, Z. (2021). Fitting Multilevel Vector Autoregressive Models in Stan, JAGS and MPlus. Structural Equation Modeling: A Multidisciplinary Journal.
Li, Y., Ji, L., Oravecz, Z., Brick, T.R., Hunter, M.D., & Chow, S-M. (2019). dynr.mi: An R program for Multiple Imputation in Dynamic Modeling. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 13(5), 302 - 311.