In an observational study in causal inference, why are the covariates usually assumed to be iid? What happens if they are not?
123681
In the superpopulation framework of causal inference, what is the necessity of assuming the outcomes, treatment and covariates are jointly iid?
64414
Should I treat these ordinal IVs as covariates or factors, in a regression?
65816
Does direction of causality between instrument and variable matter?
94798
Assumptions of linear regression
12676
Why is the unbiasedness condition in hypothesis testing called "unbiasedness"?
26636
Why are p-values uniformly distributed under the null hypothesis?
109585
Why Normality assumption in linear regression
125189
When conducting a t-test why would one prefer to assume (or test for) equal variances rather than always use a Welch approximation of the df?
87448
Why is a sample covariance matrix singular when sample size is less than number of variables?
12004
Intuitive reason why jointly normal and uncorrelated imply independence
70999
Why does this excerpt say that unbiased estimation of standard deviation usually isn't relevant?
56923
Are estimates of regression coefficients uncorrelated?
27227
Does standardising independent variables reduce collinearity?
31868
How biased is a statistical study in which sampling was purposely made without repeats?
55556
Should control variables be included in model if statistically insignificant?
86364
Does Frisch–Waugh–Lovell theorem change the covariance matrix on regression coefficients?
50557
Does causation imply correlation?