Home
Blog
Research
Publications
Talks
Books
BMHE
BCEA book
BMPR
Software
BCEA
survHE
SWSamp
bmeta
BCEAweb
Events
Summer school
R in HTA workshop
Light
Dark
Automatic
Health economics
Bayesian computations for Value of Information measures using Gaussian processes, INLA and Moment Matching
With
Anna Heath
and
Ioanna Manolopoulou
Code
ConVOI website
Follow
Full Bayesian methods to handle missing data in health economic evaluations
With
Andrea Gabrio
,
Alexina Mason
,
Rachael Hunter
and Xiaoxiao Ling
Code
Health economic evaluation of HPV vaccination
With Katrin Haeussler,
Ardo van den Hout
,
Giampiero Favato
,
Francesco S Mennini
and Alessandro Capone
Population adjustment with limited access to patient-level data
With
Antonio Remiro-Azocar
,
Anna Heath
and Chengyang Gao
Bayesian survival modelling in health economic evaluation
With (1) Zhaojing Che and
Nathan Green
; and (2) Luke Hardcastle and
Sam Livingstone
Code
Bayesian Methods in Health Economics
Check out my book (published with CRC - available also on Amazon, in ebook format too) Table of contents Preface Get a promotional code - save 20% when ordering online from CRC website Read a sample for free BCEA - an R package to run Bayesian health economic evaluations (used throughout the book and specifically in the examples) Some discussion of the book in the blog can be found here, here, here and here The book has received excellent reviews, for example by Patrick Graham
Sat, 10 Mar, 2018
R
BCEA: An R package to perform Bayesian Cost-Effectiveness Analysis
BCEA is a R library specifically designed to post-process the result of a Bayesian health economic evaluation. Typically, this consists in the estimation of a set of relevant parameters that can be combined to produce an estimation of suitable measures of cost (\(c\)) and clinical benefits (\(e\)) associated with an intervention. Within the Bayesian framework, this amounts to estimating a posterior distribution for the pair \((e,c)\).
Sat, 10 Mar, 2018
R
Code
Go to project site
Cost-effectiveness acceptability curve plots
Introduction The intention of this vignette is to show how to plot different styles of cost-effectiveness acceptability curves using the BCEA package. Two interventions only This is the simplest case, usually an alternative intervention (\(i=1\)) versus status-quo (\(i=0\)). The plot show the probability that the alternative intervention is cost-effective for each willingness to pay, \(k\), \[ p(NB_1 \geq NB_0 | k) \mbox{ where } NB_i = ke - c \]
Tue, 22 Sep, 2020
R
Set bcea() Parameters: Constructor and Setters
There are several arguments passed to bcea() to specify the form of the analysis. These are bcea(e, c, ref = 1, interventions = NULL, .comparison = NULL, Kmax = 50000, wtp = NULL, plot = FALSE) Those of interest here are: ref is the reference intervention group to compare against the other groups. .comparisons are the groups to compare against ref.
Tue, 22 Sep, 2020
R
Bayesian Cost-Effectiveness Analysis with the R package BCEA
Check out our book on the BCEA R package published by Springer in the UseR! series. This book is co-authored by myself, Andrea Berardi and Anna Heath. Table of contents Preface Get a promotional code - save 20% when ordering online from Springer website BCEA - an R package to run Bayesian health economic evaluations (used throughout the book and specifically in the examples) Journal editors, journalists or bloggers can request a free Online Review Copy of the book.
Sat, 10 Mar, 2018
R
»
Cite
×