Pubbl/distr/stampa	Chichester, England : , : John Wiley & Sons, Ltd, , 2004
Descrizione fisica	1 online resource (465 p.)
Disciplina	519.502461 610.727 610/.7/27
Soggetto topico	Clinical medicine - Research - Statistical methods
Soggetto genere / forma	Electronic books.
ISBN	1-280-23844-5 9786610238446 0-470-02367-8 0-470-02366-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Tutorials 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 Survival 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 Development 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. Part 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
Record Nr.	UNINA-9910143578503321

Pubbl/distr/stampa	Chichester, West Sussex ; ; Hoboken, N.J., : John Wiley & Sons, c2004
Descrizione fisica	1 online resource (498 p.)
Disciplina	519.502461 610.727 610/.7/27
Altri autori (Persone)	D'AgostinoRalph B
Soggetto topico	Medicine - Research - Statistical methods Medical statistics Biometry
Soggetto genere / forma	Electronic books.
ISBN	1-280-28755-1 9786610287550 0-470-02372-4 0-470-02371-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Tutorials in Biostatistics; Contents; Preface; Preface to Volume 2; Part I MODELLING A SINGLE DATA SET; 1.1 Clustered Data; Extending the Simple Linear Regression Model to Account for Correlated Responses: An Introduction to Generalized Estimating Equations and Multi-Level Mixed Modelling.; 1.2 Hierarchical Modelling; An Introduction to Hierarchical Linear Modelling.; Multilevel Modelling of Medical Data.; Hierarchical Linear Models for the Development of Growth Curves: An Example with Body Mass Index in Overweight /Obese Adults.; 1.3 Mixed Models Using the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data.Modelling Covariance Structure in the Analysis of Repeated Measures Data.; Covariance Models for Nested Repeated Measures Data: Analysis of Ovarian Steroid Secretion Data.; 1.4 Likelihood Modelling; Likelihood Methods for Measuring Statistical Evidence.; Part II MODELLING MULTIPLE DATA SETS: META-ANALYSIS; Meta-Analysis: Formulating, Evaluating, Combining, and Reporting.; Advanced Methods in Meta-Analysis: Multivariate Approach and Meta-Regression. Part III MODELLING GENETIC DATA: STATISTICAL GENETICSGenetic Epidemiology: A Review of the Statistical Basis.; Genetic Mapping of Complex Traits.; A Statistical Perspective on Gene Expression Data Analysis.; Part IV DATA REDUCTION OF COMPLEX DATA SETS; Statistical Approaches to Human Brain Mapping by Functional Magnetic Resonance Imaging.; Disease Map Reconstruction.; PART V SIMPLIFIED PRESENTATION OF MULTIVARIATE DATA; Presentation of Multivariate Data for Clinical Use: The Framingham Study Risk Score Functions.; Index
Record Nr.	UNINA-9910143579003321