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Produktbild: Handbook of Statistics in Clinical Oncology

Handbook of Statistics in Clinical Oncology

Fr. 272.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.03.2012

Abbildungen

2-page color insert follows page 556. 148 77 Tables, black and white 96 Illustrations, black and white

Herausgeber

John Crowley

Verlag

Taylor & Francis

Seitenzahl

658

Maße (L/B/H)

24.4/16.1/3.8 cm

Gewicht

1098 g

Auflage

3 ed

Sprache

Englisch

ISBN

978-1-4398-6200-1

Beschreibung

Zitat

"A strength of the handbook is the large number of examples that are included in most chapters that expand on the theoretical basis underpinning the relevant methodology. Each chapter provides details of new developments in the specific methodology and provides a comprehensive list of references for the reader to seek further information when required. ... The book contains a wealth of information about a wide range of statistical methodologies, some of which are not limited to clinical trials. ... a valuable update to a resource that covers a comprehensive range of topics related to the design, analysis and interpretation of clinical trials in cancer research." -Peter Baade, Australian & New Zealand Journal of Statistics, 2013 Praise for the Second Edition: "The new topics and contributions in this edition include the recently developed tools for high-dimensional data and bioinformatics in clinical oncology research. A new section has been added emphasizing the importance and rapid developments of these topics over the 5 years since the publication of the first edition. Some of the original sections have been updated to include the state-of-the-art knowledge and tools in all topics. The end result is a comprehensive edited volume covering statistical and bioinformatics methods that provide the foundation for important research and clinical trials in cancer. ... Like the last edition, this current edition will be an important addition to the libraries of all health research centers. The book will be prized as a reference book for biostatisticians, biomedical researchers, and oncologists for planning, conducting, analyzing, and interpreting cancer research." -Journal of the American Statistical Association, Vol. 104, No. 487, September 2009 "This is a expanded and revised second edition of a text that was initially well received by the community. The book comprised of 33 chapters, grouped into 6 sections. ... The text is extremely well referenced. The authorship represents the leaders in the field. A significant strength of this book is its example-driven approach to the 'out-of-the-box' but practical issues faced by those conducting cancer clinical trials. The book provides a critical assessment of the state of science through a thorough review of the methods, applications, and available resources. ... a detailed and mostly comprehensive text on the topics of cancer clinical trial design, conduct, analysis, and interpretation." -Daniel Sargent, Sumithra Mandrekar, and Ann Oberg, Mayo Clinic, Biometrics, December 2006

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.03.2012

Abbildungen

2-page color insert follows page 556. 148 77 Tables, black and white 96 Illustrations, black and white

Herausgeber

John Crowley

Verlag

Taylor & Francis

Seitenzahl

658

Maße (L/B/H)

24.4/16.1/3.8 cm

Gewicht

1098 g

Auflage

3 ed

Sprache

Englisch

ISBN

978-1-4398-6200-1

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  • Produktbild: Handbook of Statistics in Clinical Oncology
  • Choosing a Phase I Design. Dose Finding Designs Based on the Continual Reassessment Method. Pharmacokinetics in Clinical Oncology: Statistical Issues. Statistics of Phase 0 Trials. CRM Trials for Assessing Toxicity and Efficacy. Seamless Phase I/II Trial Design for Assessing Toxicity and Efficacy for Targeted Agents. Overview of Phase II Clinical Trials. Designs Based on Toxicity and Response. Designs Using Time to Event Endpoints/Single Arm versus Randomized Phase II. Phase II Selection Designs. Phase II with Multiple Subgroups: Designs Incorporating Disease Subtype or Genetic Heterogeneity. Phase II/III Designs. On Use of Covariates in Randomization and Analysis of Clinical Trials. Factorial Designs with Time to Event Endpoints. Early Stopping of Clinical Trials. Noninferiority Trials. Phase III Trials for Targeted Agents. Adaptive Trial Designs. Design of a Clinical Trial for Testing the Ability of a Continuous Marker to Predict Therapy Benefit. Software for Design and Analysis of Clinical Trials. Cure-Rate Survival Models in Clinical Trials. Design and Analysis of Quality of Life Data. Economic Analyses alongside Cancer Clinical Trials. Structural and Molecular Imaging in Cancer Therapy Clinical Trials. Prognostic Factor Studies. Predictive Modeling of Gene Expression Data. Explained Variation and Explained Randomness for Proportional Hazards Models. Prognostic Groups by Tree-Based Partitioning and Data Refinement Methods. Risk Calculators. Developing a Score Based upon Gene Expression Profiling and Validation. Analysis of DNA Microarrays. Methods for SNP Regression Analysis in Clinical Studies: Selection, Shrinkage, and Logic. Forensic Bioinformatics. Index.