{"product_id":"tutorials-in-biostatistics-tutorials-in-biostatistics-isbn-9780470023709","title":"Tutorials in Biostatistics, Tutorials in Biostatistics","description":"The \u003ci\u003eTutorials in Biostatistics\u003c\/i\u003e have become a very popular feature of the prestigious Wiley journal, \u003ci\u003eStatistics in Medicine\u003c\/i\u003e (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge.   This book represents the second of two volumes presenting the best tutorials published in SIM, focusing on statistical modeling of complex data. Topics include clustered data, hierarchical models, mixed models, genetic modeling, and meta-analysis. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics.   Many articles include an appendix on the latest developments since publication in the journal and additional references.  \u003cp\u003eThis will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics. \u003c\/p\u003e  Preface.  \u003cp\u003ePreface to Volume 2.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: MODELLING A SINGLE DATA SET.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1.1 Clustered Data.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eExtending the Simple Linear Regression Model to Account for Correlated Responses: An Introduction to Generalized Estimating Equations and Multi-Level Mixed Modelling (Paul Burton et al).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1.2 Hierarchical Modelling.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Introduction to Hierarchical Linear Modelling (Lisa M. Sullivan et al).\u003c\/p\u003e \u003cp\u003eMultilevel Modelling of Medical Data (Harvey Goldstein et al).\u003c\/p\u003e \u003cp\u003eHierarchical Linear Models for the Development of Growth Curves: An Example with Body Mass Index in Overweight \/Obese Adults (Moonseong Heo et al).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1.3 Mixed Models.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing the General Linear Mixed Model to Analyse Unbalanced Repeated Measures and Longitudinal Data (Avital Cnaan et al).\u003c\/p\u003e \u003cp\u003eModelling Covariance Structure in the Analysis of Repeated Measures Data (Ramon C. Littell et al).\u003c\/p\u003e \u003cp\u003eCovariance Models for Nested Repeated Measures Data: Analysis of Ovarian Steroid Secretion Data (Taesung Park and Young Jack Lee).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1.4 Likelihood Modelling.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLikelihood Methods for Measuring Statistical Evidence (Jeffrey D. Blume).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: MODELLING MULTIPLE DATA SETS: META-ANALYSIS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMeta-Analysis: Formulating, Evaluating, Combining, and Reporting (Sharon-Lise T. Normand ).\u003c\/p\u003e \u003cp\u003eAdvanced Methods in Meta-Analysis: Multivariate Approach and Meta-Regression (Hans C. van Houwelingen et al).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: MODELLING GENETIC DATA: STATISTICAL GENETICS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGenetic Epidemiology: A Review of the Statistical Basis (E. A. Thompson).\u003c\/p\u003e \u003cp\u003eGenetic Mapping of Complex Traits (Jane M. Olson et al).\u003c\/p\u003e \u003cp\u003eA Statistical Perspective on Gene Expression Data Analysis (Jaya M. Satagopan and Katherine S. Panageas).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: DATA REDUCTION OF COMPLEX DATA SETS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eStatistical Approaches to Human Brain Mapping by Functional Magnetic Resonance Imaging (Nicholas Lange).\u003c\/p\u003e \u003cp\u003eDisease Map Reconstruction (Andrew B. Lawson).\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART V: SIMPLIFIED PRESENTATION OF MULTIVARIATE DATA.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePresentation of Multivariate Data for Clinical Use: The Framingham Study Risk Score Functions (Lisa M. Sullivan et al).\u003c\/p\u003e  \"The articles within the volume are self-contained, well written, and accessible to readers of widely ranging backgrounds. These volumes should be extremely valuable to practitioners…\" (\u003ci\u003eJournal of the American Statistical Association\u003c\/i\u003e, December 2005)  \u003cp\u003e\"The biostatistical practitioners who use a broad range of statistical methods would definitely find beneficial and useful to have 'Tutorials in Biostatistics'…\" (\u003ci\u003eE-STREAMS\u003c\/i\u003e, September 2005)\u003c\/p\u003e \u003cb\u003eRalph D'Agostino, Boston University, USA\u003cbr\u003e\u003c\/b\u003eOne of the editors of \u003ci\u003eStatistics in Medicine\u003c\/i\u003e and editor of the \u003ci\u003eTutorials in Biostatistics\u003c\/i\u003e series in the journal.  The \u003ci\u003eTutorials in Biostatistics\u003c\/i\u003e series has become a very popular feature of the journal, \u003ci\u003eStatistics in Medicine\u003c\/i\u003e. The tutorials are accessible, self-contained and of a uniformly high quality. This book is the second of two volumes presenting the best tutorials published in the journal, focusing on statistical modelling of complex medical data. Topics include clustered data, hierarchical models, mixed models, genetic modelling, and meta-analysis. Each tutorial has been fully peer-reviewed and edited, and authored by leading researchers in biostatistics.  \u003cul\u003e \u003cli\u003ePresents a collection of tutorials in biostatistics, taken from the prestigious Wiley journal, \u003ci\u003eStatistics in Medicine.\u003c\/i\u003e\n\u003c\/li\u003e \u003cli\u003eFocuses on modelling of complex medical data, including clustered data, hierarchical models, mixed models, genetic modelling, and meta-analysis.\u003c\/li\u003e \u003cli\u003eEach tutorial has been fully peer reviewed and edited to ensure a high level of quality and to maintain the practical focus.\u003c\/li\u003e \u003cli\u003eSuitable for medical practitioners with a good understanding of statistics.\u003c\/li\u003e \u003cli\u003eEach tutorial has been authored by leading researchers in the field.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe \u003ci\u003eTutorials in Biostatistics\u003c\/i\u003e volumes provide an authoritative and readable introduction to a wide range of topics suitable for statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists, and geneticists. Graduate students of biostatistics will find they make excellent reference volumes to support their study.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990419292389,"sku":"NP9780470023709","price":325.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470023709.jpg?v=1761787752","url":"https:\/\/k12savings.com\/products\/tutorials-in-biostatistics-tutorials-in-biostatistics-isbn-9780470023709","provider":"K12savings","version":"1.0","type":"link"}