Statistical Methods in Clinical Studies

- 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. (Alexa Beiser et al)
- The Applications of Capture-Recapture Models to Epidemiological Data. (Anne Chao et al)

1.2 Adjustment Methods
- Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group (Ralph B. D'Agostino Jr.)

1.3 Agreement Statistics
- Kappa Coefficients in Medical Research (Helen Chmura Kraemer et al)

1.4 Survival Models
- Survival Analysis in Observational Studies (Kate Bull and David J. Spiegelhalter)
- Methods for Interval-Censored Data (Jane C. Lindsey and Louise M. Ryan)
- 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 (John B. Carlin et al)

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 (Madhu Mazumdar and Jill R. Glassman)

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 (R. B. D'Agostino et al)
- Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors (Frank E. Harrell Jr et al)
- 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 (Frank E. Harrell Jr. et al)
- Using Observational Data to Estimate Prognosis: An Example Using a Coronary Artery

"The articles within the volume are self contained, well written, and accessible to readers of widely ranging backgrounds. These volumes should be extremely valuable to practitioners " ( Journal of the American Statistical Association , December 2005) "The biostatistical practitioners who use a broad range of statistical methods would definitely find beneficial and useful to have Tutorials in Biostatistics " ( E STREAMS , September 2005) this book gives a well written and concise overview of selected biostatistical subjects. ( Journal of the Royal Statistical Society, Series A , June 2005)