9780470856048 - Disease Mapping with WinBUGS and MLwiN: 11 (Statistics in Practice) de Lawson, Andrew B.; Browne, William J.; Vidal Rodeiro, Carmen L. (23 resultados)

Hardback. Condición: Good. Ex Library book and has stickers or markings as such. No writing or markings other then from the library, All pages intact and clean, shows minor signs of wear from use. Great reading copy, Save money and recycle books! Shipped with care in a bubble mailer. --- This volume offers a practical guide to applying Bayesian hierarchical and multilevel statistical methods to the study of geographically referenced disease incidence data, with worked examples implemented in the WinBUGS and MLwiN software packages. Lawson, Browne, and Vidal Rodeiro address common applications including disease cluster detection, ecological regression, and health resource planning, presenting techniques accessible to epidemiologists and public health researchers. Part of Wiley's Statistics in Practice series, the book bridges the gap between theoretical spatial epidemiology and the computational tools needed to fit complex models to real-world data. Ex-Library.

Condición: New. 296 pp., hardcover, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780470856048.

hardcover. Condición: New. In shrink wrap. Looks like an interesting title!

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: new.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: New.

Hardback. Condición: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages - such as WinBUGS and MLwiN - are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping.Adopts a practical approach, with many detailed worked examples.Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail - relative risk estimation, focused clustering, and ecological analysis.Suitable for public health workers and epidemiologists with a sound statistical knowledge.Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN  provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Series: Statistics in Practice. Num Pages: 292 pages, Illustrations. BIC Classification: MBN; PB; UF. Category: (P) Professional & Vocational. Dimension: 238 x 164 x 25. Weight in Grams: 576. . 2003. . . . .

Condición: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler .

Hardcover. Condición: Brand New. 1st edition. 277 pages. 9.00x6.00x0.75 inches. In Stock.

Condición: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Series: Statistics in Practice. Num Pages: 292 pages, Illustrations. BIC Classification: MBN; PB; UF. Category: (P) Professional & Vocational. Dimension: 238 x 164 x 25. Weight in Grams: 576. . 2003. . . . . Books ship from the US and Ireland.

Condición: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Hardback. Condición: New. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages - such as WinBUGS and MLwiN - are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping.Adopts a practical approach, with many detailed worked examples.Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail - relative risk estimation, focused clustering, and ecological analysis.Suitable for public health workers and epidemiologists with a sound statistical knowledge.Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN  provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

Buch. Condición: Neu. Neuware - Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages such as WinBUGS and MLwiN are now easy to implement in practice.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 614.

Hardcover. Condición: new. Hardcover. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages such as WinBUGS and MLwiN are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping.Adopts a practical approach, with many detailed worked examples.Includes introductory material on WinBUGS and MLwiN.Discusses three applications in detail relative risk estimation, focused clustering, and ecological analysis.Suitable for public health workers and epidemiologists with a sound statistical knowledge.Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data. Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: Brand New. 1st edition. 277 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.