mathematical epidemiology



Mathematical Epidemiology

Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas

Mathematical and Statistical Estimation Approaches in Epidemiology

Mathematical and Statistical Estimation Approaches in Epidemiology By Gerardo Chowell, James M. Hyman, Luis M. A. Bettencourt, Carlos Castillo-Chavez * Publisher: Springer * Number

Statistics for Epidemiology

the author for his outstanding way of explaining even difficult epidemiological concepts. The book is very easy to read and would be suitable for the postgraduate student or even the more experienced

Basic Concepts in Statistics and Epidemiology

is specifically designed to underpin the concepts of statistics and epidemiology. It is practical and easy to use and is ideal for people who can feel uncomfortable with mathematics. 'Excellent. A great primer

Structured Population Models in Biology and Epidemiology (Lecture Notes in Mathematics / Mathematical Biosciences Subseries)

This book consists of six chapters written by leading researchers in mathematical biology. These chapters present recent and important developments in the study of structured population models

AIDS Epidemiology: A Quantitative Approach (Monographs in Epidemiology and Biostatistics)

This comprehensive work confronts the problems that are unique to AIDS research and unites them under a single conceptual framework. It focuses on methods for the design and analysis of epidemiologic

Veterinary Epidemiology (Practical Veterinarian)

Part of the "Practical Veterinarian" series. Written in a user-friendly format, this handbook discusses hot to practice evidence-based medicine. Explains difficult mathematical and statistical

Epidemiologic Methods for Health Policy

This text shows how epidemiology can provide a valuable basis for health policy-making. Part I is a general introduction to health policy, relevant methods and health data, while Part II presents

Statistical Tools for Epidemiologic Research

In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example


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