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Springer Statistical Methods for Disease Clustering - Springer

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Description

This comprehensive text on statistical methods for detecting clusters and clustering of health events is designed for final year undergraduate and graduate students in statistics, biostatistics, epidemiology, and geography. The book serves as an essential resource for public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scientists, and ecologists seeking rigorous analytical approaches to disease pattern analysis. With growing public health concerns about environmental risks, this volume provides the methodological foundation needed to identify and interpret spatial and temporal disease clusters. Building on introductory biostatistics and epidemiology knowledge, the material equips readers with practical techniques for analysing real-world health data and understanding disease distribution patterns.

Key Features

Statistical Methods for Disease Clustering covers detection and analysis techniques essential for health event clustering research.

Springer publication designed for graduate-level study in statistics, biostatistics, epidemiology, and geography programmes.

Applicable to public health practitioners, epidemiologists, medical geographers, and environmental scientists working with disease data.

New, mint condition copy dispatched same day when ordered before noon for immediate access.

Guaranteed secure packaging ensures the book arrives in pristine condition for your professional or academic library.

No quibbles returns policy provides complete confidence in your purchase of this Statistical Methods reference text.

Product Specifications

Model
9514261
Format
hardcover
Domain
Amazon UK
Release Date
01 February 2010
Listed Since
04 December 2009

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No barcode data available

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