Presentation

Oral Presentation

• Zhang, Z., Stringer, A., Brown, P., & Stafford, J. (2023) Model-based Smoothing with Integrated Wiener Processes and Overlapping Splines. 2023 Joint Statistical Meetings (JSM), Toronto, Canada 

• Zhang, Z., Stringer, A., Brown, P., & Stafford, J. (2023) Bayesian Smoothing and Inference of Derivatives through Integrated Wiener Processes. 2023 SSC Annual Meeting, Ottawa, Canada 

Poster Presentation

• Zhang, Z., Sun, L. (2023). Exploiting latent gene-environment Interaction in the analysis of binary traits. Upcoming at the American Society of Human Genetics 2023 Annual Meeting, Washington, DC, USA 

• Zhang, Z., Sun, L. (2022). The hidden factor: the importance of accounting for covariate effects in power and sample size computation when analyzing a binary trait. Abstract # PB3600 presented at the American Society of Human Genetics 2022 Annual Meeting, Los Angeles, USA 

• Zhang, Z., Sun, L. (2022). Power and Sample Size Computation for Association Analysis of a Binary Trait: Accounting for Covariate Effects. Abstract #196 presented at the International Genetic Epidemiology Society 2022 Annual Meeting, Paris, France. 

• Zhang, Z., Stringer, A., Brown, P., & Stafford, J.(2022). Bayesian inference for Cox Proportional Hazard Models with Partial Likelihoods, Semi-parametric Covariate Effects and Correlated Observations. Abstract presented at 2022 ISBA World Meeting. Montreal, Canada. 

• Zhang, Z., Sun, L. (2021). Genetic association analysis of a binary trait detects more than just the genetic effect: implications for pleiotropy and replication studies. Abstract # 3177 presented at the American Society of Human Genetics 2021 Virtual Meeting (Abstract selected for Reviewer-Choice Award). 

• Zhang, Z., Sun, L. (2021). Genetic association analysis of a binary trait detects more than just the genetic effect: implications for pleiotropy and replication studies. Abstract # 148 presented at the International Genetic Epidemiology Society 2021 Annual Meeting.