{"product_id":"r-for-health-technology-assessment-9780367468910","title":"R for Health Technology Assessment","description":"\u003cp\u003e\u003cb\u003eR for Health Technology Assessment \u003c\/b\u003ediscusses 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eIntroductory chapters on the various topics of the book, including HTA, R and statistical inference\u003c\/li\u003e \u003cli\u003eA 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\u003c\/li\u003e \u003cli\u003eMore 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\u003c\/li\u003e \u003cli\u003eMany detailed worked examples and case studies using real data to illustrate the methodology\u003c\/li\u003e \u003cli\u003eFully integrated R code gives detailed guidance on implementation of the techniques\u003c\/li\u003e \u003cli\u003eSupplemented by a website with additional resources, including annotated code and data\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Gianluca Baio\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e CRC Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/29\/2025\u003cbr\u003e\u003cb\u003eSeries:\u003c\/b\u003e Chapman \u0026amp; Hall\/CRC Biostatistics\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 430\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.2lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 1.00d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780367468910","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":45175680532617,"sku":"9780367468910","price":140.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0636\/9240\/6921\/files\/img_8c8d2b60-fa17-4f42-85c9-c39db6518524.jpg?v=1768891881","url":"https:\/\/sonsanddaughtersbooks.com\/products\/r-for-health-technology-assessment-9780367468910","provider":"Sons and Daughters Books","version":"1.0","type":"link"}