Magnitude and direction of missing confounders had different consequences on treatment effect estimation in propensity score analysis
Propensity score (PS) analysis allows an unbiased estimate of treatment effects but assumes that all confounders are measured. We assessed the impact of omitting confounders from a PS analysis on clinical decision making.We conducted Monte Carlo simulations on hypothetical observational studies base...
| Auteurs principaux: | , , , , , , , |
|---|---|
| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2017
|