Lin Tan Source Confirmed

OverviewAI-generated summary

Lin Tan's research focuses on the application of statistical modeling and meta-analysis to understand behavioral health interventions, particularly those related to alcohol use and adolescent development. Tan has investigated the effectiveness of brief alcohol interventions, utilizing zero-inflated Poisson and negative binomial models for analyzing count outcomes in meta-analyses of individual participant data. This work has been published in peer-reviewed journals, contributing to the evidence base for interventions targeting college students. Additionally, Tan's work has explored developmental psychology topics, including changes in children's attachment security following the birth of a sibling, and the longitudinal relationships between children's negative affectivity and maternal emotion expressivity. This research also examines growth in emotion understanding during early childhood, particularly in the context of sibling transitions. Tan's scholarly contributions are reflected in an h-index of 8 and 186 total citations across 27 publications.

Metrics

• h-index: 8
• Publications: 27
• Citations: 186