documentation:software:atlas:estimation
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documentation:software:atlas:estimation [2017/10/17 16:26] jhardin |
documentation:software:atlas:estimation [2019/05/30 20:45] (current) anthonysena |
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| + | ===== IMPORTANT NOTE ===== | ||
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| + | All ATLAS documentation has moved to [[https://github.com/OHDSI/ATLAS/wiki|GitHub]]. Please disregard the content below as it is legacy and kept for posterity. | ||
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| + | ===== ESTIMATION (LEGACY) ===== | ||
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| ATLAS has the ability to perform estimation studies using the comparative cohort design. The feature can be accessed by clicking on Estimation in the left menu. | ATLAS has the ability to perform estimation studies using the comparative cohort design. The feature can be accessed by clicking on Estimation in the left menu. | ||
| {{:documentation:software:atlas:atlas_estimation.png?800|}} | {{:documentation:software:atlas:atlas_estimation.png?800|}} | ||
| - | There are several inputs required to design the outcome model and as such several video tutorials are available to understand and learn the estimation feature in ATLAS: | + | The estimation procedure in ATLAS uses the propensity score methodology. There are 3 main outcome models generated using the estimation feature in ATLAS - logistic regression; poisson regression; and cox proportional hazards. |
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| + | There are inputs required to design the outcome model and as such several video tutorials are available to understand and learn the estimation feature in ATLAS: | ||
| * OHDSI Estimation Methods Tutorial - Part 1[[https://youtu.be/jwHlVTxDPIY]] | * OHDSI Estimation Methods Tutorial - Part 1[[https://youtu.be/jwHlVTxDPIY]] | ||
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| * OHDSI Estimation Methods Tutorial - Part 5[[https://youtu.be/cjc9H1aWq40]] | * OHDSI Estimation Methods Tutorial - Part 5[[https://youtu.be/cjc9H1aWq40]] | ||
| - | There are 3 main outcome models generated using the estimation feature in ATLAS - logistic regression; poisson regression; and cox proportional hazards. | ||
documentation/software/atlas/estimation.1508257570.txt.gz · Last modified: 2017/10/17 16:26 by jhardin
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