資料來源: Google Book
Multiple analyses in clinical trials :fundamentals for investigators
- 作者: Moyé, Lemuel A.,
- 出版: New York : Springer ©2003.
- 稽核項: 1 online resource (xxiii, 436 pages) :illustrations.
- 叢書名: Statistics for biology and health
- 標題: Methods. , methods , MEDICAL Biostatistics. , MEDICAL , Epidemiologic Methods. , Investigative Techniques , Analysis of Variance. , Analytical, Diagnostic and Therapeutic Techniques and Equipment , Clinical trials. , Biostatistics. , Clinical trials , Delivery of Health Care. , Disciplines and Occupations , Data Interpretation, Statistical. , Health Care Evaluation Mechanisms. , Statistical methods. , Multivariate analysis. , Science. , Epidemiologic Study Characteristics as Topic , Clinical Trials as Topic. , Clinical Trials methods , Natural Science Disciplines. , Electronic books. , Statistics as Topic. , Quality of Health Care. , Clinical Trials , Clinical trials Statistical methods. , Multivariate Analysis. , Evaluation Studies as Topic. , Research. , Research Design. , Health Care Quality, Access, and Evaluation , Public Health. , Environment and Public Health
- ISBN: 0387218130 , 9780387218137
- ISBN: 038700727X , 9780387007274 , 6610188327 , 9786610188321
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Introduction -- The Rudiments: Methodologic Roots of Clinical Trial Design -- Multiple Analyses and the Random Experiment -- The Lure and Complexity of Multiple Analyses -- Multiple Analyses and Multiple Endpoints -- Introduction to Multiple Dependent Analyses -- Multiple Dependent Analyses 2 -- Introduction to Composite Endpoints -- Multiple Analyses and Composite Endpoints -- Introduction to Subgroup Analyses -- Subgroups II: Effect Domination and Controversy -- Subgroups III: Confirmatory Analyses -- Multiple Analyses and Multiple Treatment Arms -- Combining Multiple Analyses -- Conclusions.
- 摘要: One of the most challenging issues for clinical trial investigators, sponsors, and regulatory officials is the interpretation of experimental results that are composed of the results of multiple statistical analyses. These analyses may include the effect of therapy on multiple endpoints, the assessment of a subgroup analysis, and the evaluation of a dose-response relationship in complex mixtures. Multiple Analyses in Clinical Trials: Fundamentals for Clinical Investigators is an essentially nonmathematical discussion of the problems posed by the execution of multiple analyses in clinical trials. It concentrates on the rationale for the analyses, the difficulties posed by their interpretation, easily understood solutions, and useful problem sets. This text will help clinical investigators understand multiple analysis procedures and the key issues when designing their own work or reviewing the research of others. This book is written for advanced medical students, clinical investigators at all levels, research groups within the pharmaceutical industry, regulators at the local, state, and federal level, and biostatisticians. Only a basic background in health care and introductory statistics is required. Dr. Lemuel A. Moy, M.D., Ph. D. is a physician and Professor of Biometry at the University of Texas School of Public Health. He has been Co-Principal Investigator of two multinational clinical trials examining the role of innovative therapy in post myocardial infarction survival (SAVE) and the use of cholesterol reducing agents in post myocardial infarction survival in patients with normal cholesterol levels (CARE). He has authored over one hundred articles in journals such as the Journal of the American Medical Association, the New England Journal of Medicine, Statistics in Medicine, and Controlled Clinical Trials. From the reviews: From the reviews: "A quick scan of the book indicates that it is not a typical statistics bookYou can jump in almost anywhere and just
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=107918
- 系統號: 005308751
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
Concentrating on the rationale for the analyses, the difficulties posed by their interpretation, easily understood solutions, and useful problem sets, this book will help clinical investigators understand multiple analysis procedures and key issues. It is written for advanced medical students, clinical investigators at all levels, research groups within the pharmaceutical industry, regulators at the local, state, and federal level, and biostatisticians.
來源: Google Book
來源: Google Book
評分