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About this product
- DescriptionProvides insights into the problems in statistical modeling and offers alternative strategies to approach the problems. Emphasizing the importance of statistical thinking behind all analyses, this book uses examples in epidemiology to illustrate different model specifications that can imply different sets of causal relationships between variables.
- Author BiographyDr Yu-Kang Tu is a Senior Clinical Research Fellow in the Division of Biostatistics, School of Medicine, and in the Leeds Dental Institute, University of Leeds, Leeds, UK. He was a visiting Associate Professor to the National Taiwan University, Taipei, Taiwan. First trained as a dentist and then an epidemiologist, he has published extensively in dental, medical, epidemiological and statistical journals. He is interested in developing statistical methodologies to solve statistical and methodological problems such as mathematical coupling, regression to the mean, collinearity and the reversal paradox. His current research focuses on applying latent variables methods, e.g. structural equation modeling, latent growth curve modelling, and lifecourse epidemiology. More recently, he has been working on applying partial least squares regression to epidemiological data. Prof Mark S Gilthorpe is professor of Statistical Epidemiology, Division of Biostatistics, School of Medicine, University of Leeds, Leeds, UK. Having completed a single honours degree in mathematical Physics (University of Nottingham), he undertook a PhD in Mathematical Modelling (University of Aston in Birmingham), before initially embarking upon a career as self-employed Systems and Data Analyst and Computer Programmer, and eventually becoming an academic in biomedicine. Academic posts include systems and data analyst of UK regional routine hospital data in the Department of Public Health and Epidemiology, University of Birmingham; Head of Biostatistics at the Eastman Dental Institute, University College London; and founder and Head of the Division of Biostatistics, School of Medicine, University of Leeds. His research focus has persistently been that of the development and promotion of robust and sophisticated modelling methodologies for non-experimental (and sometimes large and complex) observational data within biomedicine, leading to extensive publications in dental, medical, epidemiological and statistical journals.
- Author(s)Mark S Gilthorpe,Yu-Kang Tu
- PublisherTaylor & Francis Ltd
- Date of Publication25/07/2011
- Country of PublicationUnited States
- ImprintChapman & Hall/CRC
- Content Note52 black & white illustrations, 19 black & white tables
- Weight544 g
- Width156 mm
- Height235 mm
- Spine15 mm
- Format DetailsUnsewn / adhesive bound
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