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Propensity Score Analysis in Health Science Research |
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| รหัสดีโอไอ | |
| Creator | 1. Sirima Mongkolsomlit 2. Nontiya Homkham |
| Title | Propensity Score Analysis in Health Science Research |
| Publisher | Text and Journal Publication |
| Publication Year | 2561 |
| Journal Title | Vajira Medical Journal |
| Journal Vol. | 62 |
| Journal No. | 1 |
| Keyword | propensity score, confounding, observational study, bias |
| URL Website | https://tci-thaijo.org/index.php/VMED |
| Website title | Vajira Medical Journal (วชิรเวชสาร) |
| ISSN | 0125-1252 |
| Abstract | Research in health sciences mainly takes the form of an observational study. The major problem encountered is the management of confounding variables and many covariate variables. This affects the reliability of the data analysis on a number of variables into the model at the same time. Currently, propensity score is a statistical method that is renowned and used increasingly in the design of the observational study. Propensity score has been used to summarize data of several variables as one covariate, the propensity score estimates the probability of covariates based on each individual of received intervention. Furthermore, the propensity score has been used with other technique for analysis such as matching, stratification and regression analysis. The propensity score is not appropriate for the poor research design or loss collection of potential confounder variable. On the other hand, the propensity score is a good tool in case of good research management. |
