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Ordinary Least Squares for inference
Testing regression parameter estimates with Z-tests and T-tests
Multiple hypothesis testing
Generalised Least Squares
General Linear Models
Analysis of variance (ANOVA)
Instrumental Variables
Imputing missing data for inference
Measurement error and inference
Semi-parametric regression
Deleting whole row if missing data.
As with techniques for prediction, there is bias if not random.