Title: GitHub - ehsanx/TMLEworkshop: Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Open Graph Title: GitHub - ehsanx/TMLEworkshop: Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
X Title: GitHub - ehsanx/TMLEworkshop: Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Description: Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified. - ehsanx/TMLEworkshop
Open Graph Description: Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outco...
X Description: Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outco...
Opengraph URL: https://github.com/ehsanx/TMLEworkshop
X: @github
Domain: patch-diff.githubusercontent.com
| route-pattern | /:user_id/:repository |
| route-controller | files |
| route-action | disambiguate |
| fetch-nonce | v2:0bf92399-69ee-eb91-db94-6c80cb5eb9ba |
| current-catalog-service-hash | f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb |
| request-id | B59A:12D09:C7D5088:10A5FD5B:698C73FA |
| html-safe-nonce | f578e7fd9db17567165fbea2a624e20e51d59c003ab6b330493dfa3ff2b140b3 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCNTlBOjEyRDA5OkM3RDUwODg6MTBBNUZENUI6Njk4QzczRkEiLCJ2aXNpdG9yX2lkIjoiNjE1OTI2MjgxODI3NDkzMTcwNiIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | 95f1834327e582f083dea50757e00b26a7082ab21173a2cfed4960f661b1b0f6 |
| hovercard-subject-tag | repository:396987601 |
| github-keyboard-shortcuts | repository,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/ehsanx/TMLEworkshop |
| twitter:image | https://opengraph.githubassets.com/b5b71c70fe80c259830c088598eb877ae0f62861684c84128b8e952e713e7ce0/ehsanx/TMLEworkshop |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/b5b71c70fe80c259830c088598eb877ae0f62861684c84128b8e952e713e7ce0/ehsanx/TMLEworkshop |
| og:image:alt | Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outco... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 640eeb7b6ff4d8d106235d228c0c286e82592d4d2403227b5b2b4fc5832297a4 |
| turbo-cache-control | no-preview |
| go-import | github.com/ehsanx/TMLEworkshop git https://github.com/ehsanx/TMLEworkshop.git |
| octolytics-dimension-user_id | 1855414 |
| octolytics-dimension-user_login | ehsanx |
| octolytics-dimension-repository_id | 396987601 |
| octolytics-dimension-repository_nwo | ehsanx/TMLEworkshop |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 396987601 |
| octolytics-dimension-repository_network_root_nwo | ehsanx/TMLEworkshop |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | 3d444f0a47beeeac94cddbb51c91ab408befe8d4 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width