Bayesian Hierarchical Poisson Models for Multiple Grouped
Outcomes with Clustering
person(given = "Raymond",
family = "Carragher",
role = c("aut", "cre"),
email = "raymond.carragher@strath.ac.uk",
comment = c(ORCID = "0000-0002-0120-625X"))
Raymond Carragher [aut, cre] (<https://orcid.org/0000-0002-0120-625X>)
Bayesian hierarchical methods for the detection of differences in rates of related outcomes for multiple treatments for clustered observations. Theoretical background for the models is given in Carragher (2017) <https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736866>. The models in this package are extensions for multiple treatments and clusters. This software was developed for the Precision Drug Theraputics: Risk Prediction in Pharmacoepidemiology project as part of a Rutherford Fund Fellowship at Health Data Research (UK), Medical Research Council (UK) award reference MR/S003967/1 (<https://gtr.ukri.org/>). Principal Investigator: Raymond Carragher.

Bayesian Hierarchical Regression on Clearance Rates in the
Presence of Lag and Tail Phases
Colin B. Fogarty [cre] <cfogarty@mit.edu>,
Saeed Sharifi-Malvajerdi [aut] <saeedsh@wharton.upenn.edu>,
Feiyu Zhu [aut] <feiyuzhu@sas.upenn.edu>
An implementation of the Bayesian Clearance Estimator (Fogarty et al. (2015) <doi:10.1111/biom.12307>).
It takes serial measurements of a response on an individual (e.g., parasite load
after treatment) that is decaying over time and performs Bayesian hierarchical
regression of the clearance rates on the given covariates. This package provides
tools to calculate WWARN PCE (WorldWide Antimalarial Resistance Network's
Parasite Clearance Estimator) estimates of the clearance rates as well.
stats, MCMCpack, MASS, msm, mvtnorm, survival, AER, Cairo,
graphics, grDevices, utils

An implementation of the Bayesian Clearance Estimator (Fogarty et al. (2015) <doi:10.1111/biom.12307>).
It takes serial measurements of a response on an individual (e.g., parasite load
after treatment) that is decaying over time and performs Bayesian hierarchical
regression of the clearance rates on the given covariates. This package provides
tools to calculate WWARN PCE (WorldWide Antimalarial Resistance Network's
Parasite Clearance Estimator) estimates of the clearance rates as well. A tutorial appeared in
Sharifi-Malvajerdi et al. (2019) <doi: 10.1186/s12936-018-2631-8>.