Price loading...

R for Health Technology Assessment (Chapman & Hall/CRC Biostatistics Series)

Software & Graphics

Price data last checked 102 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Product Specifications

Format: hardcover
ASIN: 0367468913
Category: Books > Subjects > Computing & Internet > Software & Graphics
Domain: Amazon UK
Release Date: 30 June 2025
Listed Since: 17 December 2024

Barcode

No barcode data available

R for Health Technology Assessment (Chapman & Hall/CRC Biostatistics Series)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Applied Meta-Analysis with R and Stata (Chapman & Hall/CRC Biostatistics Series)

Applied Meta-Analysis with R and Stata - CRC Press Book

Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Interval-Censored Time-to-Event Data: Methods and Applications (Chapman & Hall/CRC Biostatistics Series)

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

Event History Analysis with R (Chapman & Hall/CRC The R Series)

Modelling Survival Data in Medical Research (Chapman & Hall/CRC Texts in Statistical Science)

Interval-Censored Time-to-Event Data: Methods and Applications: 52 (Chapman & Hall/CRC Biostatistics Series)

Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis

Mastering Health Data Science Using R

Health Technology Assessment: Using Biostatistics to Break the Barriers of Adopting New Medicines

CRC Press Using R for Bayesian Spatial Health Modeling Book

Biomarker Analysis in Clinical Trials with R (Chapman & Hall/CRC Biostatistics Series)

CRC Press Statistical Testing Strategies in the Health Sciences

Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values (Chapman & Hall/CRC Texts in Statistical Science)

Biomarker Analysis in Clinical Trials with R (Chapman & Hall/CRC Biostatistics Series)

Handbook of Regression Modeling in People Analytics: With Examples in R and Python

R for Statistics

Clinical Trial Data Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)

R Programming: Statistical Data Analysis in Research

Clinical Trial Data Analysis Using R and SAS (Chapman & Hall/CRC Biostatistics Series)

Statistical Analysis of Financial Data: With Examples In R (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Hierarchical Models: With Applications Using R, Second Edition

R for Health Data Science