Empirical research on chronic disease, depression, BMI, blood pressure, healthcare utilization, and healthy aging using CHARLS, HRS, SHARE, NHANES, BRFSS, and the CFPS health module.
target audience：Public health grad students, gerontology, medical statistics, health economics
China Health and Retirement Longitudinal Study 2011 · China Health and Retirement Longitudinal Study 2013 · China Health and Retirement Longitudinal Study 2015 · China Health and Retirement Longitudinal Study 2018 · China Health and Retirement Longitudinal Study 2020 · Health and Retirement Study 2018 · Survey of Health, Ageing and Retirement in Europe — Wave 8 · National Health and Nutrition Examination Survey 2017-2018 · Behavioral Risk Factor Surveillance System 2022 · China Family Panel Studies 2018 · China Family Panel Studies 2020
Self-rated health · Age · Education attainment · Personal annual income · Marital status · Urban / rural status · Chronic disease · Depression score · Body mass index · Blood pressure · Smoking · Life satisfaction
All methods below run inside the wizard with verified Stata / Python / R templates.
| method | typical use |
|---|---|
生存分析 stcox / KM | CHARLS 5 期追踪做慢性病发病/死亡风险 |
倾向得分 PSM | 医保参与、健康行为干预的因果效应 |
面板固定效应 xtreg | 个人健康轨迹的时变控制 |
ologit / oprobit | 自评健康量表 |
中介 mediation | 教育→医疗服务利用→健康结果 |
Upload your data, declare research roles (DV / IV / controls), and the wizard runs the matching templates and generates a Word report — coefficients, standard errors and p-values come from real CSVs, never synthesised text.