LEADER 04774nam 2200589Ia 450 001 9910778948503321 005 20230725054612.0 010 $a88-89688-56-4 035 $a(CKB)2550000000083048 035 $a(EBL)837837 035 $a(OCoLC)773565228 035 $a(SSID)ssj0000588731 035 $a(PQKBManifestationID)11384569 035 $a(PQKBTitleCode)TC0000588731 035 $a(PQKBWorkID)10649909 035 $a(PQKB)10994451 035 $a(MiAaPQ)EBC837837 035 $a(Au-PeEL)EBL837837 035 $a(CaPaEBR)ebr10572349 035 $a(EXLCZ)992550000000083048 100 $a20120705d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied epidemiology and biostatistics$b[electronic resource] /$fGiuseppe La Torre 210 $aTorino $cSEEd$d2010 215 $a1 online resource (400 p.) 300 $aDescription based upon print version of record. 311 $a88-89688-49-1 320 $aIncludes bibliographical references. 327 $aTitle 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. Introduction 327 $a4.2. 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 study 327 $a6.7. 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 analysis 327 $a8.7. 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 epidemiology 327 $a11.2. 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 comparison 327 $aReferences 330 $aThis 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. 606 $aEpidemiology 606 $aBiometry 615 0$aEpidemiology. 615 0$aBiometry. 676 $a600 700 $aLa Torre$b Giuseppe$0595752 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778948503321 996 $aApplied epidemiology and biostatistics$93851042 997 $aUNINA