Empirical research on chronic disease, healthcare utilization, and healthy aging using CHARLS and the CFPS health module — survival analysis, propensity score, panel models all supported.
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 2020 · China Family Panel Studies 2018 · China Family Panel Studies 2020
Self-rated health · Age · Education attainment · Personal annual income · Marital status · Urban / rural status
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.