LEADER 04537nam 2200601 450 001 9910143578503321 005 20170809164629.0 010 $a1-280-23844-5 010 $a9786610238446 010 $a0-470-02367-8 010 $a0-470-02366-X 035 $a(CKB)1000000000357204 035 $a(EBL)239454 035 $a(OCoLC)299571430 035 $a(SSID)ssj0000263021 035 $a(PQKBManifestationID)11195213 035 $a(PQKBTitleCode)TC0000263021 035 $a(PQKBWorkID)10272380 035 $a(PQKB)10547245 035 $a(MiAaPQ)EBC239454 035 $a(EXLCZ)991000000000357204 100 $a20160817h20042004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aTutorials in biostatistics$hVolume 1$iStatistical methods in clinical studies /$fedited by R. B. D'Agostino 210 1$aChichester, England :$cJohn Wiley & Sons, Ltd,$d2004. 210 4$dİ2004 215 $a1 online resource (465 p.) 300 $aDescription based upon print version of record. 311 $a0-470-02365-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aTutorials in Biostatistics; Contents; Preface; Preface to Volume 1; Part I OBSERVATIONAL STUDIES/EPIDEMIOLOGY; 1.1 Epidemiology; Computing Estimates of Incidence, Including Lifetime Risk: Alzheimer's Disease in the Framingham Study. The Practical Incidence Estimators (PIE) Macro.; The Applications of Capture-Recapture Models to Epidemiological Data.; 1.2 Adjustment Methods; Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group.; 1.3 Agreement Statistics; Kappa Coe cients in Medical Research. Helen Chmura Kraemer,; 1.4 Survival Models 327 $aSurvival Analysis in Observational Studies.Methods for Interval-Censored Data.; Analysis of Binary Outcomes in Longitudinal Studies Using Weighted Estimating Equations and Discrete-Time Survival Methods: Prevalence and Incidence of Smoking in an Adolescent Cohort.; Part II PROGNOSTIC/CLINICAL PREDICTION MODELS; 2.1 Prognostic Variables; Categorizing a Prognostic Variable: Review of Methods, Code for Easy Implementation and Applications to Decision-Making about Cancer Treatments.; 2.2 Prognostic/Clinical Prediction Models 327 $aDevelopment of Health Risk Appraisal Functions in the Presence of Multiple Indicators: The Framingham Study Nursing Home Institutionalization Model.Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors.; Development of a Clinical Prediction Model for an Ordinal Outcome: The World Health Organization Multicentre Study of Clinical Signs and Etiological Agents of Pneumonia, Sepsis and Meningitis in Young Infants.; Using Observational Data to Estimate Prognosis: An Example Using a Coronary Artery Disease Registry. 327 $aPart III CLINICAL TRIALS3.1 Design; Designing Studies for Dose Response.; 3.2 Monitoring; Bayesian Data Monitoring in Clinical Trials.; 3.3 Analysis; Longitudinal Data Analysis (Repeated Measures) in Clinical Trials.; Repeated Measures in Clinical Trials: Simple Strategies for Analysis Using Summary Measures.; Strategies for Comparing Treatments on a Binary Response with Multi-Centre Data.; A Review of Tests for Detecting a Monotone Dose-Response Relationship with Ordinal Response Data.; Index 330 $aThe Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the first of two volumes presenting the best tutorials published in SIM, focusing on statistical methods in clinical studies. Topics include the design and analysis of clinical trials, epidemiology, survival analysis, and data monitoring. Each tutorial is focused on a medical probl 606 $aClinical medicine$xResearch$xStatistical methods 608 $aElectronic books. 615 0$aClinical medicine$xResearch$xStatistical methods. 676 $a519.502461 676 $a610.727 676 $a610/.7/27 702 $aD'Agostino$b R. B. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143578503321 996 $aTutorials in biostatistics$91911300 997 $aUNINA