Copyright
©The Author(s) 2019.
World J Gastroenterol. Jun 28, 2019; 25(24): 2990-3008
Published online Jun 28, 2019. doi: 10.3748/wjg.v25.i24.2990
Published online Jun 28, 2019. doi: 10.3748/wjg.v25.i24.2990
Table 2 Advantages of propensity score methodology
Advantages | Remarks |
Addressing “curse of dimensionality” when EPV < 10 | Traditional multivariable regression models yield similar results if EPV ≥ 10 |
Recognition of subjects with absolute indications (or contraindications) of an intervention | Exclusion of areas of non-overlap of the PS distribution between exposed and unexposed groups to ensure comparability |
Identification of PS interaction with treatment | Variation of effectiveness of an intervention according to indications (PS) may only be identified via stratified analysis by PS |
- Citation: Cheung KS, Leung WK, Seto WK. Application of Big Data analysis in gastrointestinal research. World J Gastroenterol 2019; 25(24): 2990-3008
- URL: https://www.wjgnet.com/1007-9327/full/v25/i24/2990.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i24.2990