报告题目：Estimating the Dynamic Diarrhea Effects on Childhood Growth with Statistical Models
报 告 人：周建辉 副教授 弗吉尼亚大学
报告时间：2020年6月30日 09:30-10:30
报告地点：腾讯会议ID：787 992 665
或点击链接直接加入会议：
https://meeting.tencent.com/s/CaTz6lBlmN9M.
校内联系人：程建华 chengjh@jlu.edu.cn
报告摘要：
Diarrhea effects on children health have been a popular topic in biomedical research. Previous studies have focused on short term effect on mortality and morbidity. Recent evidence has raised interests on the long term effect on childhood growth. Instead of treating diarrhea effect as constant as what previous studies do, we propose a dynamic nonparametric model to estimate diarrhea effect as a function, studying how long the diarrhea effect lasts and its changes over time. Simulation study shows that our model can capture the length of diarrhea effect and quantify the effect curve simultaneously. The proposed model is applied to the data from NIH cohort study collected from children in Bangladesh. Results show that the diarrhea effect on children’s HAZ score starts to show up at 3 months, becomes most significant at around 9 months with a decrease of HAZ -0.013, and levels off to zero after 15 months. Overall, our model provides new statistical tools to quantify the relationship between diarrhea and childhood growth in a dynamic fashion, which gives us insights on the changing pattern and the effect window of diarrhea effect.
报告人简介：
周建辉，弗吉尼亚大学统计学院副教授，2000年本科毕业于中国科学技术大学，2005年博士毕业于伊利诺伊大学厄巴纳-香槟分校，主要从事纵向数据分析、函数型数据分析、降维方法、稳健统计、生长曲线模型和分位回归等方向的研究，在Annals of Statistics、Journal of the American Statistical Association和Biometrics、Statistical Methods in Medical Research等期刊上发表高质量科研论文20余篇，曾担任Statistica Sinica等期刊副主编。
