Burzykowski tomasz (30 Ergebnisse)

Zustand: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Hardcover. Zustand: Very Good. 2013. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: New.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Zustand: Very Good. Cover and edges may have some wear.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 396 pages. 9.21x6.14x0.90 inches. In Stock.

Zustand: New.

Paperback. Zustand: Brand New. 310 pages. 9.18x6.12x0.73 inches. In Stock.

Zustand: New. In English.

Zustand: New. Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der ElstAn important factor that affects the duration, complexity and cost of a clinical tria.

Hardcover. Zustand: Brand New. 1st edition. 373 pages. 9.25x6.25x1.00 inches. In Stock.

Zustand: Used. pp. 436 Illus.

Zustand: Used. pp. 436.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. To help readers to get familiar with the features of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software and applications. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach is used to describe the R tools for LMMs. All the classes of linearmodels presented in the book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariance structure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text. …

Zustand: New. Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der ElstAn important factor that affects the duration, complexity and cost of a clinical tria.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Both humanitarian and commercial considerations have spurred intensive search for methods to reduce the time and cost required to develop new therapies. The identification and use of surrogate endpoints, i.e., measures that can replace or supplement other endpoints in evaluations of experimental treatments or other interventions, is a general strategy that has stimulated both enthusiasm and skepticism. Surrogate endpoints are useful when they can be measured earlier, more conveniently, or more frequently than the 'true' endpoints of primary interest. Regulatory agencies around the globe, particularly in the United States, Europe, and Japan, are introducing provisions and policies relating to the use of surrogate endpoints in registration studies. But how can one establish the adequacy of a surrogate What kind of evidence is needed, and what statistical methods portray that evidence most appropriately This book offers a balanced account on this controversial topic. The text presents major developments of the last couple of decades, together with a unified, meta-analytic framework within which surrogates can be evaluated from several angles. Methodological development is coupled with perspectives on various therapeutic areas. Academic views are juxtaposed with standpoints of scientists working in the biopharmaceutical industry as well as of colleagues from the regulatory authorities.Tomasz Burzykowski is Assistant Professor of Biostatistics at the Limburgs Universitair Centrum in Belgium. Dr. Burzykowski has published methodological work on the analysis of survey data, meta-analyses of clinical trials, and validation of surrogate endpoints. He is a co-author of numerous papers applying statistical methods to clinical data in different disease areas (cancer, cardiovascular diseases, dermatology, orthodontics).Geert Molenberghs is Professor of Biostatistics at the Limburgs Universitair Centrum in Belgium. Dr. Molenberghs published methodological work on surrogate markers in clinical trials, categorical data, longitudinal data analysis, and on the analysis of non-response in clinical and epidemiological studies. He serves as Joint Editor for Applied Statistics (2001-2004) and is President of the International Biometric Society (2004-2005). He was elected Fellow of the American Statistical Association and received the Guy Medal in Bronze from the Royal Statistical Society. Marc Buyse founded the International Drug Development Institute in 1991. He is Past President of the International Society for Clinical Biostatistics, Past President of the Quetelet Society, and Past Board Member of the Society for Clinical Trials. He is currently the Executive Director of IDDI (International Drug Development Institute) and Associate Professor of biostatistics at the Limburgs Universitair Centrum, Center for Statistics, Diepenbeek, Belgium. He has published extensively in the fields of biostatistics and oncology. His research interests include meta-analysis, surrogate endpoints, statistical detection of fraud, and the design and statistical analysis of clinical trials.From the reviews:'A strength of this book is its comprehensive and up-to-date presentation of issues pertinent to the evaluation of surrgoate endpoints.This book makes an important contribution to the clinical trials literature.' Journal of Biopharmaceutical Statistics, 2006'Many of the chapters deal with real-life data examples and studies involving surrogate outcomes, many written by authors who were directly involved in these studies.The editors have written nice background sections.until a more concise manuscript on this topic is written, this book will remain the most important resource for biostatisticians and researchers in this area.' Debajyoti Sinha for the Journal of the American Statistical Association, December 2006'This book is a reflection of the ongoing debate.…

Zustand: New. In English.

hardcover. Zustand: Sehr gut. 574 Seiten; 9781461438991.2 Gewicht in Gramm: 2.

Zustand: New.

Taschenbuch. Zustand: Neu. The Evaluation of Surrogate Endpoints | Tomasz Burzykowski (u. a.) | Taschenbuch | Statistics for Biology and Health | xxiv | Englisch | 2010 | Springer | EAN 9781441919069 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Zustand: Brand New. 416 pages. 9.00x6.00x0.99 inches. In Stock.

Zustand: New. In English.

Zustand: New. Przemyslaw Biecek is a professor in human-oriented machine learning at the Warsaw University of Technology and Principal Data Scientist in Samsung R&ampD Institute Poland. His main research project is DrWhy.AI - tools and methods for ex.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 9th edition. 568 pages. 9.75x6.50x1.50 inches. In Stock.

Hardcover. Zustand: Brand New. 309 pages. 9.75x6.50x0.75 inches. In Stock.

Hardcover. Zustand: gut. Linear Mixed-Effects Models Using R: A Step-by-Step Approach (Springer Texts in Statistics) In englischer Sprache. pages.