---
title: "R for Health Technology Assessment"
ean: "9780367468910"
brand: "n/a"
category: "Medier > Bøger"
price_min: 1139
price_max: 1139
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9780367468910/r-for-health-technology-assessment
last_checked: 2026-10-14
---

# R for Health Technology Assessment

EAN 9780367468910 · Mærke: n/a · Kategori: Medier > Bøger

Sammenlign priser på R for Health Technology Assessment fra 1 forhandler. Billigste pris nu: 1.139 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780367468910/r-for-health-technology-assessment

## Priser
- **Billigste pris nu:** 1.139 kr hos Saxo DK
- **Prisspænd:** 1.139 kr – 1.139 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 1.139 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> 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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Priserne er sidst kontrolleret 2026-10-14.