A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates - Dataset

Data support a paper of this title:

A Geotemporospatial and Causal Inference Epidemiological Exploration of Substance and Cannabinoid Exposure as Drivers of Rising US Pediatric Cancer Rates

Data represent a compilation of various data inputs from numerous sources including the National Cancer Institute SEER*Stat National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database: NPCR and SEER Incidence – U.S. Cancer Statistics Public Use Research Database, 2019 submission (2001-2017), United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Released June 2020. Available at www.cdc.gov/cancer/public-use program; the National survey of Drug Use and Health conducted by the Substance Abuse and Mental Health Services Administration; and the US Census bureau.

Data also include inverse probability weights for cannabis exposure.

Data also include their geospatial linkage network constructed for all US states which makes Alaska and Hawaii spatially connected to the contiguous USA.

Data also include the R script used to conduct and prepare the analysis.

本数据集支撑以下标题的研究论文：
《以物质与大麻素暴露作为美国儿童癌症发病率上升驱动因素的地理时空因果推断流行病学探索》

本数据集整合了多源数据输入，数据来源包括：美国国家癌症研究所（National Cancer Institute）SEER*Stat 国家癌症登记计划与监测、流行病学与最终结果数据库：NPCR与SEER发病数据——美国癌症统计公共使用研究数据库，2019年提交（覆盖2001-2017年），由美国卫生与公众服务部、疾病控制与预防中心及美国国家癌症研究所联合出品，2020年6月发布，访问地址为www.cdc.gov/cancer/public-use program；由药物滥用与精神健康服务管理局开展的美国药物使用与健康全国调查；以及美国人口普查局的数据。

数据集还包含大麻暴露的逆概率权重（inverse probability weights）。

数据集还包含为全美所有州构建的地理空间连接网络，该网络实现了阿拉斯加州、夏威夷州与美国本土（contiguous USA）的空间连通。

数据集还包含用于开展与预处理分析的R脚本。