| Type: | Package |
| Title: | R MTC Jags 'Rcmdr' Plugin |
| Version: | 1.0-2 |
| Date: | 2016-05-10 |
| Author: | Marcelo Goulart Correia <mgoulart.inc@gmail.com> |
| Maintainer: | Marcelo Goulart Correia <mgoulart.inc@gmail.com> |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rcmdr (≥ 2.0.0), runjags, rmeta, igraph, coda, rjags |
| Description: | Mixed Treatment Comparison is a methodology to compare directly and/or indirectly health strategies (drugs, treatments, devices). This package provides an 'Rcmdr' plugin to perform Mixed Treatment Comparison for binary outcome using BUGS code from Bristol University (Lu and Ades). |
| SystemRequirements: | jags (>= 3.0.0) |
| Repository: | CRAN |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Packaged: | 2016-05-10 15:40:28 UTC; instituto |
| Date/Publication: | 2016-05-10 19:05:02 |
R MTC Jags Rcmdr Plugin
Description
Mixed Treatment Comparison is a methodology to compare directly and/or indirectly health strategies (drugs, treatments, devices). This package provides an Rcmdr plug-in to perform Mixed Treatment Comparison for binary outcome using BUGS code from Bristol University (Lu and Ades).
Details
| Package: | RcmdrPlugin.RMTCJags |
| Type: | Package |
| Version: | 1.01-1 |
| Date: | 2015-06-17 |
| License: | GPL (>= 2) |
Author(s)
Marcelo Goulart Correia <mgoulart.inc@gmail.com>
See Also
Internal RcmdrRMTCJagsPlugin objects
Description
Internal RcmdrRMTCJagsPlugin objects.
Details
These are not to be called by the user.
How to format database for analysis?
Description
Manual to build database for RcmdrPlugin.RMTCJags
Details
Fixed Effect Model (FE Model), Random Effect Model (RE Model) Ignoring multi-arm trials and Random Effect Model (RE Model) for 2- and 3-arms trials:
A database with six (6) variables:
s -> Study index (Number)
t -> Treatment index (Number)
r -> Number of cases on the treatment
n -> Total population on the treatment
b -> Baseline treatment
m -> Arm index (Only needed on RE Model for 2- and 3-arms trials), where 1 is the baseline treatment and 2,..,n are for the other treatments
Each line on the database is a treatment of a trial (study), for example:
| s | t | r | n | b | m |
| 1 | 1 | 40 | 100 | 1 | 1 |
| 1 | 3 | 15 | 90 | 1 | 2 |
| 1 | 4 | 10 | 75 | 1 | 3 |
| ... | ... | ... | ... | ... | ... |
| 4 | 2 | 50 | 200 | 2 | 1 |
| 4 | 4 | 60 | 150 | 2 | 2 |
Random Effect Model (RE Model) for multi-arm trial:
A database with N*3 + 1 columns, where N is the highest number of arms from a trial collection.
t[1,..N,] -> Treatment index
r[1,..N,] -> Number of cases on the treatment
n[1,..N,] -> Total population on the treatment
na -> Number of arms on the study
Each line on the database is a trial. For example, if we collect 10 trials and after check them we have the biggest trial with 5 arms our database structure is:
| t[1,] | t[2,] | t[3,] | t[4,] | t[5,] | r[1,] | r[2,] | r[3,] | r[4,] | r[5,] | n[1,] | n[2,] | n[3,] | n[4,] | n[5,] | na |
| 1 | 2 | 3 | 4 | 5 | 20 | 30 | 10 | 5 | 14 | 100 | 90 | 80 | 110 | 50 | 5 |
| 1 | 3 | 4 | 5 | NA | 10 | 50 | 60 | 15 | NA | 150 | 200 | 340 | 165 | 1 | 4 |
| 2 | 4 | 5 | NA | NA | 40 | 70 | 80 | NA | NA | 70 | 190 | 500 | 1 | 1 | 3 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 3 | 4 | NA | NA | NA | 80 | 90 | NA | NA | NA | 250 | 580 | 1 | 1 | 1 | 2 |