|
|||||
|
|
Making valid causal inferences from observational data |
|
| Authors: | Wayne Martin |
| Institution: | Professor Emeritus, University of Guelph, Guelph, Ontario, Canada N1G 2W1 |
| Abstract: | The ability to make strong causal inferences, based on data derived from outside of the laboratory, is largely restricted to data arising from well-designed randomized control trials. Nonetheless, a number of methods have been developed to improve our ability to make valid causal inferences from data arising from observational studies. |
| Keywords: | Causal inference Cause Component cause Causal diagram Counterfactual Multivariable model Propensity score Instrument variable Boosted regression Marginal structural model Critical appraisal Forward projection Causal guidelines |
| 本文献已被 ScienceDirect 等数据库收录！ | |