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Modern Clinical Trial Analysis
This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to moder...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
| Edición: | 1st ed. 2013. |
| Colección: | Applied Bioinformatics and Biostatistics in Cancer Research,
|
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Modern Clinical Trial Analysis |h [electronic resource] / |c edited by Wan Tang, Xin Tu. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2013. | |
| 300 | |a X, 254 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Applied Bioinformatics and Biostatistics in Cancer Research, |x 2363-9652 | |
| 505 | 0 | |a Preface -- Survival Analysis -- Longitudinal Data Analysis -- Assessment of Diagnostic Tests and Instruments -- Analysis of Sequential Clinical Trials -- Dynamic Treatment Regimes -- Statistical Issues with Trial Data and Economic Modeling for Cost-effectiveness Evaluation -- Active-controlled Clinical Trials -- Thorough QT/QTc Clinical Trials -- Causal Inference in Cancer Clinical Trials -- Index. | |
| 520 | |a This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing. As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included. The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens. The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful. . | ||
| 650 | 0 | |a Cancer. | |
| 650 | 0 | |a Oncology. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 1 | 4 | |a Cancer Biology. |
| 650 | 2 | 4 | |a Oncology. |
| 650 | 2 | 4 | |a Bioinformatics. |
| 700 | 1 | |a Tang, Wan. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Tu, Xin. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9781461443216 |
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| 830 | 0 | |a Applied Bioinformatics and Biostatistics in Cancer Research, |x 2363-9652 | |
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| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||