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All analyses in StatsNotebook are conducted in R.
Descriptive statistics Linear regression (with missing data) Moderation/ Interaction Analysis Causal mediation analysis Multiple imputation for missing data Robust regression Residual plots and assumption checking for linear regression Linear mixed model (Multilevel model) Inverse probability treatment weight for longitudinal study (with missing data) Age-Period-Cohort analysis Propensity score matching For more R related content, see R Bloggers.
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