Missing Data in Clinical Studies by Geert Molenberghs
Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents the reader with approaches to effectively address them. The text provides a critique of conventional and simple methods before moving on to discuss more advanced approaches.-
Multiple Imputation and its Application
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Data Monitoring Committees in Clinical Trials
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Bayesian Approaches to Clinical Trials and Health-Care Evaluation
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Risk Assessment
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Evidence Synthesis for Decision Making in Healthcare
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Modern Analysis of Customer Surveys
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Statistical Practice in Business and Industry
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Spatio-temporal Design
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Applied Missing Data Analysis in the Health Sciences
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Statistical Methods for Hospital Monitoring with R
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Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
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Statistical Estimation of Epidemiological Risk
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Statistical Monitoring of Complex Multivariate Processes
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A Practical Guide to Designing Phase II Trials in Oncology
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Quantitative Finance
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Statistical Applications for Environmental Analysis and Risk Assessment
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Statistical Methods for Dose-Finding Experiments
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Geostatistics for Environmental Scientists
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Selection Bias and Covariate Imbalances in Randomized Clinical Trials
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Spatial Analysis Along Networks
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Using Statistical Methods for Water Quality Management
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Weight-of-Evidence for Forensic DNA Profiles
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Statistical and Methodological Aspects of Oral Health Research
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Statistics and the Evaluation of Evidence for Forensic Scientists
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Modeling and Analysis of Compositional Data
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Statistical DNA Forensics
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Analysing Survival Data from Clinical Trials and Observational Studies
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Statistical Analysis of Microstructures in Materials Science
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Understanding Biostatistics
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Nondetects and Data Analysis
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Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
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Maximum Likelihood Estimation and Inference
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Applied Mixed Models in Medicine
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How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
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Statistical Issues in Drug Development
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Individual Participant Data Meta-Analysis
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Comparing Clinical Measurement Methods
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Statistical Methods for Groundwater Monitoring
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The False Discovery Rate
"?this book is reasonably well organized and covers all the relevant theory and much of the practical applications of the field." (Journal of the American Chemical Association, August 6, 2008)
"Missing Data in Clinical Studies does an excellent job of presenting essential ideas on modern concepts and techniques relevant to missing data in clinical studies." (Journal of the American Statistician, December 2008)
"Clear, generally accessible and well written, and the content is rich. This text is a highly recommendable addition to the shelves of practicing statisticians." (Journal of Applied Statistics, August 2008)
"The authors give key examples in the form of several clinical trials and their analyses using the appropriate remedial techniques." (Journal of Tropical Pediatrics, August 2007)
Geert Molenberghs and Michael Kenward are the authors of Missing Data in Clinical Studies, published by Wiley.
| SKU | Unavailable |
| ISBN 13 | 9780470849811 |
| ISBN 10 | 0470849819 |
| Title | Missing Data in Clinical Studies |
| Author | Geert Molenberghs |
| Series | Statistics In Practice |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2007-03-09 |
| Number of pages | 536 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |