04774nam 2200589Ia 450 991082414820332120230725054612.088-89688-56-4(CKB)2550000000083048(EBL)837837(OCoLC)773565228(SSID)ssj0000588731(PQKBManifestationID)11384569(PQKBTitleCode)TC0000588731(PQKBWorkID)10649909(PQKB)10994451(MiAaPQ)EBC837837(Au-PeEL)EBL837837(CaPaEBR)ebr10572349(EXLCZ)99255000000008304820120705d2010 uy 0engurcn|||||||||txtccrApplied epidemiology and biostatistics[electronic resource] /Giuseppe La TorreTorino SEEd20101 online resource (400 p.)Description based upon print version of record.88-89688-49-1 Includes bibliographical references.Title page; Colophon; Summary; Preface; 1.Measures of Occurrence; 1.1. Introduction; 1.2. Prevalence; 1.3. Incidence; 1.4. Practical issues; 1.5. Practical examples; References; 2.Measures of Association; 2.1. Relative risk; 2.2. Risk difference; 2.3. Other measures of attributable risk; 2.4. Practical examples; References; 3.Controlling for Confounding; 3.1. What is confounding in epidemiology?; 3.2. Controlling for confounding factors; 3.3. How to control for confounding factors; 3.4. Practical examples; References; 4.Cross-Sectional Studies; 4.1. Introduction4.2. Performing a cross-sectional study 4.3. A practical example; References; 5.Cohort Studies; 5.1. What is a cohort study?; 5.2. Why do we need a cohort study?; 5.3. The eligibility criteria; 5.4. The structure of a cohort study; 5.5. Censoring; 5.6. The statistical analysis in a cohort study; 5.7. Practical examples; References; 6.Experimental Studies; 6.1. What is a sample experimental study?; 6.2. Why do we need an experimental study?; 6.3. The eligibility criteria; 6.4. The randomisation process; 6.5. The blinding; 6.6. The structure of an experimental study6.7. The statistical analysis in an experimental study 6.8. Practical examples; References; 7.Temporal Trend Analysis; 7.1. Introduction; 7.2. Basic principles of temporal trend analysis; 7.3. Practical examples; References; 8. The Surveillance of Sexually Transmitted Infections: the Theory and the Practice; 8.1. Introduction; 8.2. Surveillance of sexually transmitted infections in the third millennium; 8.3. Attributes of a STI surveillance system; 8.4. Universal versus sentinel surveillance systems; 8.5. How to perform STI surveillance; 8.6. Data management and analysis8.7. Practical exercises for analysing a dataset of STIs References; 9.Systematic Reviews and Meta-Analysis of Clinical Trials; 9.1. What is a systematic review? What is a meta-analysis?; 9.2. Why do we need systematic reviews and meta-analyses?; 9.3. Practical steps of a meta-analysis; 9.4. A practical example of a meta-analysis of RCTs; References; 10.Meta-Analysis of Observational Studies; 10.1. Introduction; 10.2. Practical example; 10.3. Worked examples; References; 11.Genetic Epidemiology; 11.1. Key concepts of genetic epidemiology11.2. A practical example: the "candidate gene approach"References; 12.Analysis of Cost Data Using Bootstrap Technique; 12.1. Introduction; 12.2. Basic principles of the bootstrap method; 12.3. Bootstrap standard normal confidence interval; 12.4. Percentile method confidence interval; 12.5. Bias corrected and accelerated (BCa) confidence interval; 12.6. Application to example; References; 13.Sensitivity, Specificity, and ROC Curves; 13.1. Study introduction; 13.2. Sensitivity, specificity, and predictive value; 13.3. Basic principles of ROC curves; 13.4. Use of ROC analysis for comparisonReferencesThis book provides not only the theory of biostatistics, 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.EpidemiologyBiometryEpidemiology.Biometry.600La Torre Giuseppe595752MiAaPQMiAaPQMiAaPQBOOK9910824148203321Applied epidemiology and biostatistics4052246UNINA