eBook - ePub

R for Health Technology Assessment

Name: R for Health Technology Assessment
Author: Gianluca Baio,Howard Thom,Petros Pechlivanoglou

Gianluca Baio,

Howard Thom,

Petros Pechlivanoglou,

English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

R for Health Technology Assessment

Gianluca Baio,

Howard Thom,

Petros Pechlivanoglou,

About this book

R for Health Technology Assessment discusses the use of proper statistical software, specifically R, to perform the whole pipeline of analytic modelling in health technology assessment (HTA). It has been designed with the objective of establishing the use of R as the standard tool for HTA amongst academics, industry practitioners and regulators. It covers a lot of ground, starting with the necessary background in HTA, R and statistical inference, followed by various modelling tools, ranging from missing data, survival analysis and decision trees, through to multistate models and discrete event simulation. The methods are all illustrated with many detailed worked examples and case studies using real data, and there are detailed descriptions of the code and processes.

Key Features:

Introductory chapters on the various topics of the book, including HTA, R and statistical inference
A wide range of common analytical tools used in HTA, from modelling for individual-level data, missing data, survival analysis, decision-modelling and network meta-analysis
More advanced and increasingly popular tools, such as those for population adjustment, discrete event simulation and the use of web applications as front-end for the overall statistical modelling
Many detailed worked examples and case studies using real data to illustrate the methodology
Fully integrated R code gives detailed guidance on implementation of the techniques
Supplemented by a website with additional resources, including annotated code and data

This text is primarily aimed at modellers working in the field of HTA, regulators and reviewers of reimbursement dossiers and cost-effectiveness analyses. It also complements a wide range of undergraduate and graduate programmes in HTA, health and public health economics, as well as academic researchers in the field of statistical modelling for HTA.

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Yes, you can access R for Health Technology Assessment by Gianluca Baio,Howard Thom,Petros Pechlivanoglou in PDF and/or ePUB format, as well as other popular books in Mathematics & Biostatistics. We have over one million books available in our catalogue for you to explore.