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Advances in Statistical Methods for the Health Sciences

Imagen de portada del libro Advances in Statistical Methods for the Health Sciences

Información General

  • Autores: Jean-Louis Auget, Mounir Mesbah,
  • Editores: Boston : Birkhäuser, 2007
  • Año de publicación: 2007
  • País: Estados Unidos
  • Idioma: inglés
  • ISBN: 978-0-8176-4368-3, 978-0-8176-4542-7
  • Texto completo no disponible (Saber más ...)

Resumen

  • Statistical methods have become increasingly important and now form integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained volume, an outgrowth of an "International Conference on Statistical Methods in Health Sciences," covers a wide range of topics pertaining to new statistical methods and novel applications in the health sciences.

    The chapters, written by leading experts in their respective fields, are thematically divided into the following areas:

    * Prognostic studies and general epidemiology * Pharmacovigilance * Quality of life * Survival analysis * Clustering * Safety and efficacy assessment * Clinical design * Models for the environment * Genomic analysis * Animal health This comprehensive volume will be highly useful an of great interest to the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.

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Índice

  • Preface
    Contributors
    List of Tables
    List of Figures
    Part I: Prognostic Studies and General Epidemiology
    Systematic Review of Multiple Studies of Prognosis: The Feasibility of Obtaining Individual Patient Data \ D.G. Altman, M. Trivella, F. Pezzella, and A.L. Harris
    On Statistical Approaches for the Multivariate Analysis of Prognostic Marker Studies \ N. Holländer and W. Sauerbrei
    Where Next for Evidence Synthesis of Prognostic Marker Studies? Improving the Quality and Reporting of Primary Studies to Facilitate Clinically Relevant Evidence-Based Results \ R.D. Riley, K.R. Abrams, P.C. Lambert, A.J. Sutton, and D.G. Altman
    Part II: Pharmacovigilance
    Sentinel Event Methods for Monitoring Unanticipated Adverse Events \ P.A. Lachenbruch and J. Wittes
    Spontaneous Reporting System Modelling for the Evaluation of Automatic Signal Generation Methods in Pharmacovigilance \ E. Roux, F. Thiessard, A. Fourier, B. Bégaud, and P. Tubert-Bitter
    Part III: Quality of Life
    Latent Covariates in Generalized Linear Models: A Rasch Model Approach \ K.B. Christensen
    Sequential Analysis of Quality of Life Measurements with the Mixed Partial Credit Model \ V. Sébille, T. Challa, and M. Mesbah
    A Parametric Degradation Model Used in Reliability, Survival Analysis, and Quality of Life \ M. Nikulin, L. Gerville-Réache, and S. Orazio
    Agreement Between Two Ratings with Different Ordinal Scales \ S. Natarajan, M.B. McHenry, S. Lipsitz, N. Klar, and S. Lipshultz
    Part IV: Survival Analysis
    The Role of Correlated Frailty Models in Studies of Human Health, Ageing, and Longevity \ A. Wienke, P. Lichtenstein, K. Czene, and A.I. Yashin
    Prognostic Factors and Prediction of Residual Survival for Hospitalized Elderly Patients \ M.L. Calle, P. Roura, A. Arnau, A. Yáñez, and A. Leiva
    New Models and Methods for Survival Analysis of Experimental Data \ G.V. Semenchenko, A.I. Yashin, T.E. Johnson, and J.W. Cypser
    Uniform Consistency for Conditional Lifetime Distribution Estimators Under Random Right-Censorhip \ P. Deheuvels and G. Derzko
    Sequential Estimation for the Semiparametric Additive Hazard Model \ L. Bordes and C. Breuils
    Variance Estimation of a Survival Function with Doubly Censored Failure Time Data \ C. Zhu and J. Sun
    Part V: Clustering
    Statistical Models and Artificial Neural Networks: Supervised Classification and Prediction Via Soft Trees \ A. Ciampi and Y. Lechevallier
    Multilevel Clustering for Large Databases \ Y. Lechevallier and A. Ciampi
    Neural Networks: An Application for Predicting Smear Negative Pulmonary Tuberculosis \ A.M. Santos, B.B. Pereira, J.M. Seixas, F.C.Q. Mello, and A.L. Kritski
    Assessing Drug Resistance in HIV Infection Using Viral Load Using Segmented Regression \ H. Liang, W.-Y. Tan, and X. Xiong
    Assessment of Treatment Effects on HIV Pathogenesis Under Treatment by State Space Models \ W.-Y. Tan, P. Zhang, X. Xiong, and P. Flynn
    Part VI: Safety and Efficacy Assessment
    Safety Assessment Versus Efficacy Assessment \ M.A. Foulkes
    Cancer Clinical Trials with Efficacy and Toxicity Endpoints: A Simulation Study to Compare Two Nonparametric Methods \ A. Letierce and P. Tubert-Bitter
    Safety Assessment in Pilot Studies When Zero Events are Observed \ R.E. Carter and R.F. Woolson
    Part VII: Clinical Designs
    An Assessment of Up-and-Down Designs and Associated Estimators in Phase I Trials \ H.K.T. Ng, S.G. Mohanty, and N. Balakrishnan
    Design of Multicentre Clinical Trials with Random Enrolment \ V.V. Anisimov and V.V. Fedorov
    Statistical Methods for Combining Clinical Trial Phases II and III \ N. Stallard and S. Todd
    SCPRT: A Sequential Procedure That Gives Another Reason to Stop Clinical Trials Early \ X. Xiong, M. Tan, and J. Boyett
    Part VIII: Models for the Environment
    Seasonality Assessment for Biosurveillance Systems \ E.N. Naumova and I.B. MacNeill
    Comparison of Three Convolution Prior Spatial Models for Cancer Incidence \ E.-A. Sauleau, M. Musio, A. Etienne, and A. Buemi
    Longitudinal Analysis of Short-Term Bronchiolitis Air Pollution Association Using Semiparametric Models \ S. Willems, C. Segala, M. Maidenberg, and M. Mesbah
    Part IX: Genomic Analysis
    Are There Correlated Genomic Substitutions? / M. Karnoub, P.K. Sen, and F. Seillier-Moiseiwitsch
    Part X: Animal Health
    Swiss Federal Veterinary Office Risk Assessments: Advantages and Limitations of the Qualitative Method \ R. Hauser, E. Breidenbach, and K.D.C. Stärk
    Qualitative Risk Analysis in Animal Health: A Methodological Example \ B. Dufour and F. Moutou
    Index



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