What are Some Alternatives to Multivariable Adjustment?
In situations where multivariable adjustment is not feasible or sufficient, researchers may consider other methods:
1. Propensity Score Matching: This technique involves matching participants with similar propensity scores, which are calculated based on potential confounders, to create comparable groups.
2. Randomization: In clinical trials, randomization helps to evenly distribute confounders between treatment and control groups, minimizing bias.
3. Stratification: This involves analyzing subgroups separately to control for confounding. However, it is less efficient than multivariable adjustment as it reduces the sample size within each stratum.
