
Multiple Imputation and its Application by James Carpenter
A practical guide to analysing partially observed data. Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data.-
Data Monitoring Committees in Clinical Trials
-
Bayesian Approaches to Clinical Trials and Health-Care Evaluation
-
Risk Assessment
-
Evidence Synthesis for Decision Making in Healthcare
-
Modern Analysis of Customer Surveys
-
Statistical Practice in Business and Industry
-
Spatio-temporal Design
-
Applied Missing Data Analysis in the Health Sciences
-
Statistical Methods for Hospital Monitoring with R
-
Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
-
Statistical Estimation of Epidemiological Risk
-
Statistical Monitoring of Complex Multivariate Processes
-
A Practical Guide to Designing Phase II Trials in Oncology
-
Quantitative Finance
-
Statistical Applications for Environmental Analysis and Risk Assessment
-
Statistical Methods for Dose-Finding Experiments
-
Geostatistics for Environmental Scientists
-
Selection Bias and Covariate Imbalances in Randomized Clinical Trials
-
Spatial Analysis Along Networks
-
Using Statistical Methods for Water Quality Management
-
Weight-of-Evidence for Forensic DNA Profiles
-
Statistical and Methodological Aspects of Oral Health Research
-
Statistics and the Evaluation of Evidence for Forensic Scientists
-
Modeling and Analysis of Compositional Data
-
Statistical DNA Forensics
-
Analysing Survival Data from Clinical Trials and Observational Studies
-
Statistical Analysis of Microstructures in Materials Science
-
Understanding Biostatistics
-
Nondetects and Data Analysis
-
Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
-
Maximum Likelihood Estimation and Inference
-
Applied Mixed Models in Medicine
-
How to Design, Analyse and Report Cluster Randomised Trials in Medicine and Health Related Research
-
Statistical Issues in Drug Development
-
Individual Participant Data Meta-Analysis
-
Missing Data in Clinical Studies
-
Comparing Clinical Measurement Methods
-
Statistical Methods for Groundwater Monitoring
-
The False Discovery Rate
James Carpenter, Medical Statistics Unit, London School of Hygiene and Tropical Medicine, UK.
Michael G. Kenward, Medical Statistics Unit, London School of Hygiene and Tropical Medicine, UK
Amongst other areas Professor Kenward has worked in pre-clinical and clinical medicine and epidemiology for over twenty years, holding a number of international positions. He has also been a statistical consultant for over twenty years, predominantly in medical research. He has taught over 80 short courses in biostatistics throughout the world, and is the author of the book Analysis of Repeated Measurements.
Both authors act as consultants in missing data problems in biostatistics for several major pharmaceutical companies. They have been funded since 2002 by the UK Economic and Social Research Council to develop multiple imputation software for multilevel data, and to provide training for research scientists in the handling of missing data from observational studies.
| SKU | Unavailable |
| ISBN 13 | 9780470740521 |
| ISBN 10 | 0470740523 |
| Title | Multiple Imputation and its Application |
| Author | James Carpenter |
| Series | Statistics In Practice |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley |
| Year published | 2013-02-18 |
| Number of pages | 368 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































