Logistic cross-classified multilevel models (CCMM) predicting hypertension from individual-, school- and neighborhood-level factors in the National Longitudinal Study of Adolescent to Adult Health, Wave IV (WIV), 2008–2009 (N = 13,926).
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接：
https://figshare.com/articles/dataset/Logistic_cross-classified_multilevel_models_CCMM_predicting_hypertension_from_individual-_school-_and_neighborhood-level_factors_in_the_National_Longitudinal_Study_of_Adolescent_to_Adult_Health_Wave_IV_WIV_2008_2009_N_13_926_/19675328
下载链接
链接失效反馈官方服务：
资源简介：
Logistic cross-classified multilevel models (CCMM) predicting hypertension from individual-, school- and neighborhood-level factors in the National Longitudinal Study of Adolescent to Adult Health, Wave IV (WIV), 2008–2009 (N = 13,926).
本数据集基于2008-2009年全国青少年至成人健康纵向研究第四轮（WIV）的调查数据，采用逻辑回归交叉分类多层模型（Logistic cross-classified multilevel models，CCMM），以个体、学校及街区层面的影响因素为预测变量，对高血压发病情况进行预测分析，研究总样本量为13926
创建时间：
2022-04-28
