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Tutorials in biostatistics . Volume 1 Statistical methods in clinical studies / / edited by R. B. D'Agostino
| Tutorials in biostatistics . Volume 1 Statistical methods in clinical studies / / edited by R. B. D'Agostino |
| 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 |
| Chichester, England : , : John Wiley & Sons, Ltd, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Tutorials in biostatistics . Volume 1 Statistical methods in clinical studies / / edited by R. B. D'Agostino
| Tutorials in biostatistics . Volume 1 Statistical methods in clinical studies / / edited by R. B. D'Agostino |
| 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 |
| 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-9910830103203321 |
| Chichester, England : , : John Wiley & Sons, Ltd, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
