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(Assume that the data has been or will be de-identified in the process and HIPPA laws are not an issue)
Suppose we have patient data for six hospitals in two cities:
NYC:
Philadelphia:
Is it possible to say, cross compare health care systems in NYC and Philadelphia, even if the variances of subpatient groups for the hospitals are different enough that the ANOVA fails for say the NYC group or the Philadelphia group or both? (For example, PHMCC and Bellevue Hospital Forensics are for people who have been arrested or in prison).
Would the key issue here is that intergroup variance would have to significantly exceed intragroup variance given a certain statistical power? What test would I use in this case? 50.200.152.3 ( talk) 01:57, 28 October 2016 (UTC)
I haven't begun to look at the raw data yet, so it's hypothetical. BUT SAY:
but NATURALLY the criminal/forensics patients within the city subgroups have a different kind of variance or distribution pattern (say), than the "civilian" versus the state hospital
etc.
Yanping Nora Soong (
talk) 19:32, 1 November 2016 (UTC)
Mathematics desk | ||
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< October 27 | << Sep | October | Nov >> | October 29 > |
Welcome to the Wikipedia Mathematics Reference Desk Archives |
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The page you are currently viewing is a transcluded archive page. While you can leave answers for any questions shown below, please ask new questions on one of the current reference desk pages. |
(Assume that the data has been or will be de-identified in the process and HIPPA laws are not an issue)
Suppose we have patient data for six hospitals in two cities:
NYC:
Philadelphia:
Is it possible to say, cross compare health care systems in NYC and Philadelphia, even if the variances of subpatient groups for the hospitals are different enough that the ANOVA fails for say the NYC group or the Philadelphia group or both? (For example, PHMCC and Bellevue Hospital Forensics are for people who have been arrested or in prison).
Would the key issue here is that intergroup variance would have to significantly exceed intragroup variance given a certain statistical power? What test would I use in this case? 50.200.152.3 ( talk) 01:57, 28 October 2016 (UTC)
I haven't begun to look at the raw data yet, so it's hypothetical. BUT SAY:
but NATURALLY the criminal/forensics patients within the city subgroups have a different kind of variance or distribution pattern (say), than the "civilian" versus the state hospital
etc.
Yanping Nora Soong (
talk) 19:32, 1 November 2016 (UTC)