This book provides the basics of veterinary epidemiology to the undergraduate and graduate students. The outline of the book follows the necessary steps involved in planning, conducting and analysing an epidemiological study. These steps include establishing the objective and hypothesis, defining risk factors and outcome, selecting an appropriate study design, determining relevant measures of disease frequency, association and effect, sample size considerations, conducting the study, managing the data in databases and finally analysing the data. The process takes off in the concepts and theories that form the basis of veterinary epidemiology and includes a solid introduction to data with respect to nature, management and analysis. The examples used to illustrate the different elements of data analysis are given in appendices as SAS code and R code to help getting started on the data analysis. The book is a collaboration between authors with solid backgrounds within veterinary, mathematical, statistical and computer sciences. They have years of experience in teaching at the undergraduate as well as graduate and postgraduate level.
Each chapter has been reviewed by leading international veterinary epidemiologists.
Introduction; Hypotheses, Outcomes and Determinants; Nature of Data; Observational Studies; Experimental Studies; Measures of Disease Frequency; Measures of Association and Effect; Sample Size and Sampling Methods; Evaluating Diagnostic Tests; Data Management; Bias and Interaction; Questionnaires; Data Analysis; Index.