meta user
network profile
| bio | website | |
|---|---|---|
| location | Salem, OR | |
| age | 36 | |
| visits | member for | 1 year, 7 months |
| seen | Jun 14 at 0:15 | |
| stats | profile views | 8 |
Forest Resource Analyst
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Nov 22 |
awarded | Yearling |
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Mar 4 |
comment |
Question about logistic regression What form is your data currently in? Your post suggests your independents are in a usable table form, but where are "conflict" 1/0 values? |
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Jan 27 |
answered | Create distribution model from samples? |
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Jan 26 |
comment |
Create distribution model from samples? Are you aware of R? link |
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Jan 24 |
answered | How to find mean relative differences? |
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Jan 17 |
comment |
Bayesian logistic regression with mixed (two level) data I edited the answer to use percent of students in each race as the terms of the model. This seems more appropriate. |
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Jan 17 |
revised |
Bayesian logistic regression with mixed (two level) data Computed percent of students in each race as variables and included these as model terms |
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Jan 17 |
revised |
Bayesian logistic regression with mixed (two level) data seperated the model formula |
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Jan 17 |
comment |
Bayesian logistic regression with mixed (two level) data @user3671 I modified the answer to allow including additional school variables. I don't see how you could add additional student variables unless you include students who passed as well. If you had that data as well, the school data could be bound to the individual students and their respective pass/fail would be the dependent variable. Also, I agree with the comment above that this looks like a binary problem as a student can only pass or fail. Finally, in hind-sight this is not a Bayesian solution as you had specified. |
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Jan 17 |
awarded | Editor |
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Jan 17 |
revised |
Bayesian logistic regression with mixed (two level) data Merge data by school_id only; removed rbind and leaving race count fields as parameters; added loop to get total passes by race |
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Jan 16 |
awarded | Supporter |
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Jan 16 |
answered | Bayesian logistic regression with mixed (two level) data |
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Jan 16 |
answered | Correct terminology for describing relative confidence interval |
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Jan 15 |
awarded | Nice Answer |
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Jan 15 |
awarded | Teacher |
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Jan 15 |
answered | Confidence interval for median |
