{"action":"created","issue":{"url":"https://api.github.com/repos/sbstusa/analysisteam/issues/4","repository_url":"https://api.github.com/repos/sbstusa/analysisteam","labels_url":"https://api.github.com/repos/sbstusa/analysisteam/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/sbstusa/analysisteam/issues/4/comments","events_url":"https://api.github.com/repos/sbstusa/analysisteam/issues/4/events","html_url":"https://github.com/sbstusa/analysisteam/issues/4","id":168922027,"number":4,"title":"oneblast analyses next steps","user":{"login":"jwbowers","id":569932,"avatar_url":"https://avatars.githubusercontent.com/u/569932?v=3","gravatar_id":"","url":"https://api.github.com/users/jwbowers","html_url":"https://github.com/jwbowers","followers_url":"https://api.github.com/users/jwbowers/followers","following_url":"https://api.github.com/users/jwbowers/following{/other_user}","gists_url":"https://api.github.com/users/jwbowers/gists{/gist_id}","starred_url":"https://api.github.com/users/jwbowers/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jwbowers/subscriptions","organizations_url":"https://api.github.com/users/jwbowers/orgs","repos_url":"https://api.github.com/users/jwbowers/repos","events_url":"https://api.github.com/users/jwbowers/events{/privacy}","received_events_url":"https://api.github.com/users/jwbowers/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/sbstusa/analysisteam/labels/analysis","name":"analysis","color":"0052cc"},{"url":"https://api.github.com/repos/sbstusa/analysisteam/labels/oneblast","name":"oneblast","color":"d4c5f9"}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-08-02T15:54:40Z","updated_at":"2016-08-05T13:17:57Z","closed_at":null,"body":"@PTesta The merging is basically done. Ready for analysis. Handing the analysis over to you for now. The basic analysis, using a generalized cochran mantel haenszel test is done. We now want to do the subsidiary analyses: \r\n- [x] estimate differences of proportions,\r\n- [x] tests differences in the prespecified subgroups of treatments (probably using the CMH test again). \r\n- [x] Produce a simple visualization of differences among the treatment\r\n- [ ] Assess sensitivity of the results to different ways of distributing the unmatched subscribers into the batches. Here we see that there were 24 subscribers in the first batchday who were not matched to the experimental pool, and 6 in the second batchday.\r\n\r\n```\r\nbatchday2\r\n   1    2    3    4    5    6    7    8    9   10   11   12   13   14   15   16\r\n  24    6   14   33   20   24   19   38    8   18    8   99   14   23   20   48\r\n  17   18   19   20   21   22   23   24   25   26   27   28   29   30   31   32\r\n  16   12   22   44   16   53   12   26   40   13   64   23   54   24   29   15\r\n  33   34   35   36   37   38   39   40   41 <NA>\r\n  52   10   11   65   22   25   40   10   81    0\r\n```\r\n\r\nSince we are not using other background data, one bound on the effect would take 24 members of the experimental pool who are currently scored as non-subscribers and call them subscribers in batchday 1. (We moved from 82 batches to 41 batchdays because the subscribers only have day of subscription recorded and not time and because most of the batches were sent two per day (all of them I think).)."},"comment":{"url":"https://api.github.com/repos/sbstusa/analysisteam/issues/comments/237847711","html_url":"https://github.com/sbstusa/analysisteam/issues/4#issuecomment-237847711","issue_url":"https://api.github.com/repos/sbstusa/analysisteam/issues/4","id":237847711,"user":{"login":"jwbowers","id":569932,"avatar_url":"https://avatars.githubusercontent.com/u/569932?v=3","gravatar_id":"","url":"https://api.github.com/users/jwbowers","html_url":"https://github.com/jwbowers","followers_url":"https://api.github.com/users/jwbowers/followers","following_url":"https://api.github.com/users/jwbowers/following{/other_user}","gists_url":"https://api.github.com/users/jwbowers/gists{/gist_id}","starred_url":"https://api.github.com/users/jwbowers/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jwbowers/subscriptions","organizations_url":"https://api.github.com/users/jwbowers/orgs","repos_url":"https://api.github.com/users/jwbowers/repos","events_url":"https://api.github.com/users/jwbowers/events{/privacy}","received_events_url":"https://api.github.com/users/jwbowers/received_events","type":"User","site_admin":false},"created_at":"2016-08-05T13:17:56Z","updated_at":"2016-08-05T13:17:56Z","body":" - [ ] Sensitivity analysis should assign all unmatched people in a batch to treatment A...F one at a time across all batches to create a bound on the effect. (It is possible that the existing simulations could be turned to this use but I think that it will be easier to just bound the effects assuming homogeneity across batch.)"}}
{"actor":{"display_login":"jwbowers"}}