ERF for Frambozadrine in rats: Difference between revisions
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{{Variable|Exposure-response functions}} | |||
[[Category:Frambozadrine]] | |||
[[Category:Health effects]] | [[Category:Health effects]] | ||
== | ==Question== | ||
'''[[Frambozadrine]] dose-response function in rats''' describes the long-term health impact(s) caused by [[frambozadrine]] as a function of dose in rats. This [[Variable:Generalized dose-response function|dose-response function]] applies only to continuous long-term exposures of [[frambozadrine]] (like in chronic studies). | |||
==Answer== | |||
It is not clear which of the plausible methods for estimating the result is the best. The discussion is ongoing. {{disclink|Which method is the best for dose-response estimation?}} | |||
<t2b index="Disease,Response metric,Exposure route,Exposure metric,Exposure unit,Threshold,ERF parameter,Observation" locations="ERF,Description" unit="?"> | |||
</t2b> | |||
===Non-parametric Bayesian estimation=== | |||
Males and Females combined | |||
{| {{prettytable}} | |||
!Dose levels | |||
!MLE | |||
!Prior | |||
!Posterior mean | |||
!Variance | |||
|---- | |||
|0 | |||
|0.053 | |||
|0.125 | |||
|0.0571 | |||
|0.0634 | |||
|---- | |||
|1.2 | |||
|0.133 | |||
|0.25 | |||
|0.1052 | |||
|0.0348 | |||
|---- | |||
|1.8 | |||
|0.102 | |||
|0.375 | |||
|0.13 | |||
|0.0241 | |||
|---- | |||
|15 | |||
|0.091 | |||
|0.5 | |||
|0.154 | |||
|0.021 | |||
|---- | |||
|21 | |||
|0.064 | |||
|0.625 | |||
|0.1799 | |||
|0.0551 | |||
|---- | |||
|82 | |||
|0.511 | |||
|0.75 | |||
|0.4969 | |||
|0.2762 | |||
|---- | |||
|109 | |||
|0.687 | |||
|0.875 | |||
|0.687 | |||
|0.2778 | |||
|---- | |||
|} | |||
==Rationale== | |||
=== Causality === | === Causality === | ||
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====Plausible dose-response functions==== | ====Plausible dose-response functions==== | ||
*[[Variable:Generalized dose-response function|Generalized dose-response function]] | |||
*[[Multistage model]] (first order) | *[[Multistage model]] (first order) | ||
*[[Multistage model]] (second order) | *[[Multistage model]] (second order) | ||
*[[Weibull model]] | *[[Weibull model]] | ||
=== Unit === | |||
probability of impact | |||
=== Formula === | === Formula === | ||
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</rcode> | </rcode> | ||
== | ==See also== | ||
==References== | |||
<references/> |
Latest revision as of 08:07, 13 October 2012
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Question
Frambozadrine dose-response function in rats describes the long-term health impact(s) caused by frambozadrine as a function of dose in rats. This dose-response function applies only to continuous long-term exposures of frambozadrine (like in chronic studies).
Answer
It is not clear which of the plausible methods for estimating the result is the best. The discussion is ongoing. D↷
You have error(s) in your data:
Number of indices and result cells does not match
Non-parametric Bayesian estimation
Males and Females combined
Dose levels | MLE | Prior | Posterior mean | Variance |
---|---|---|---|---|
0 | 0.053 | 0.125 | 0.0571 | 0.0634 |
1.2 | 0.133 | 0.25 | 0.1052 | 0.0348 |
1.8 | 0.102 | 0.375 | 0.13 | 0.0241 |
15 | 0.091 | 0.5 | 0.154 | 0.021 |
21 | 0.064 | 0.625 | 0.1799 | 0.0551 |
82 | 0.511 | 0.75 | 0.4969 | 0.2762 |
109 | 0.687 | 0.875 | 0.687 | 0.2778 |
Rationale
Causality
Upstream variables not defined.
Data
Toxicological data about frambozadrine in rats.
Dose(mg/kg-day) | Total no rats | Hyperkeratosis |
---|---|---|
Male | ||
0 | 47 | 2 |
1.2 | 45 | 6 |
15 | 44 | 4 |
82 | 47 | 24 |
Female | ||
0 | 48 | 3 |
1.8 | 49 | 5 |
21 | 47 | 3 |
109 | 48 | 33 |
Plausible dose-response functions
- Generalized dose-response function
- Multistage model (first order)
- Multistage model (second order)
- Weibull model
Unit
probability of impact
Formula
Methods for estimating dose-responses
- Bootstrap method
- Probabilistic inversion
- Non-parametric Bayesian estimation
- Bayesian model averaging