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Libro Libro cartaceo

Applied Epidemiology and Biostatistics

Giuseppe La Torre

Data di pubblicazione: 09/2010

ISBN: 978-88-8968-849-6

Formato: 17 x 24 cm

Pagine: 400

In inglese

Contiene link a software scaricabili

In the era of Evidence Based Medicine, health professionals are required to fully understand design, analysis and interpretation of the results of research. Furthermore, they should be able to assess the needs of their communities and respond accordingly. To achieve these goals, clinicians need to be familiar with the basic concepts of epidemiology and biostatistics. But epidemiology is more than “the study of.” Its application and practice are essential to address public health issues. That is why this book provides not only the theory, but also the opportunity of applying it in practice. In fact, each chapter presents one or more specific examples on how to perform an epidemiological or statistical data analysis and includes download access to the software and databases, giving the reader the possibility of replicating the analyses described. The final purpose is, therefore, to introduce epidemiologic and biostatistical methods as applied to clinical research, and to develop proficiency with computer software for performing the analysis of clinical datasets.


Public Health practitioners, clinicians, health managers, teachers of epidemiology, teachers of biostatistics

€ 74,00

Giuseppe La Torre
Department of Public Health and Infectious Diseases, “Sapienza” University of Rome, Italy

  • Measures of occurrence
  • Measures of association
  • Controlling for confounding
  • Cross-sectional studies
  • Cohort studies
  • Experimental studies
  • Temporal trend analysis
  • The surveillance of sexually transmitted infections: the theory and the practice
  • Systematic reviews and meta-analysis of clinical trials
  • Meta-analysis of observational studies
  • Genetic epidemiology
  • Analysis of cost data using bootstrap technique
  • Sensitivity, specificity, and ROC curves
  • Measures of central tendency and dispersion
  • Sample size calculations
  • Representation of data
  • Running multiple regression with quantitative and qualitative variables with R
  • Methods for assessing normality of quantitative variables
  • Quality of life evaluation
  • Disability adjusted life years (DALY) summary measure of population health

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