Random effects modeling of longitudinal and spatial data with and without zero-inflation.

有和没有零通货膨胀的纵向和空间数据的随机效应建模。

• 批准号: RGPIN-2017-04246
• 负责人: Hasan, Tariqul
• 金额: $ 1.02万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635812
• 关键词: Random; effects; modeling; longitudinal; spatial

My proposed research is mainly focusing on random effect modeling of longitudinally, spatially and spatiotemporally correlated skewed data occurring in medical, health, ecological, environmental and biological studies. To be specific, we model data that are observed over time (time series), on many individuals over time (longitudinal), over space/location (e.g. spatial), over space and time (e.g. spatiotemporal). My research interest lies in the following three areas.

我建议的研究主要集中在纵向，空间和时空相关的倾斜数据发生在医学，健康，生态，环境和生物研究的随机效应建模。具体来说，我们对随时间（时间序列）、随时间（纵向）、随空间/位置（例如空间）、随空间和时间（例如时空）观察到的数据进行建模。我的研究兴趣在于以下三个方面。