biostat-agent
Installation
Add the marketplace
/plugin marketplace add choxos/BiostatAgentInstall plugins
/pluginRun these commands in Claude Code to add this plugin to your environment. The marketplace must be added before you can install its plugins.
Plugins
bayesian-modeling
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
itc-modeling
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
r-tidy-modeling
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
clinical-trial-simulation
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
Skills
tidymodels-review-patterns
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
meta-analysis
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
network-meta-analysis
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
ipd-meta-analysis
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
diagnostic-accuracy
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
causal-mediation
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
mendelian-randomization
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
pharmacokinetics
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
health-economics
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
real-world-evidence
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
advanced-adaptive-trials
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
stan-fundamentals
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
pymc-fundamentals
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
bugs-fundamentals
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
hierarchical-models
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
regression-models
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
time-series-models
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
survival-models
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
model-diagnostics
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
meta-analysis
Create, review, and validate Bayesian models in Stan, PyMC, JAGS, and WinBUGS
pairwise-ma-methodology
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
tidy-itc-workflow
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
nma-methodology
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
maic-methodology
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
stc-methodology
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
ml-nmr-methodology
Expert agents for indirect treatment comparison modeling in R, covering pairwise MA, NMA, MAIC, STC, and ML-NMR with tidy modeling practices
tidymodels-workflow
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
recipes-patterns
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
resampling-strategies
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
model-tuning
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
model-evaluation
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
survival-analysis
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
clinical-trials
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
bayesian-modeling
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
epidemiology-methods
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
genomics-analysis
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
r-documentation-patterns
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
roxygen2-pkgdown
Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels
simtrial-fundamentals
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
mediana-fundamentals
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
multiplicity-methods
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
time-to-event-methods
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
group-sequential-methods
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
power-optimization-patterns
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization
clinical-trial-design-patterns
Clinical trial simulation plugin supporting simtrial (time-to-event) and Mediana (CSE) frameworks for power analysis, sample size determination, group sequential designs, and multiplicity optimization