This new edition of the Oxford Handbook of Medical Statistics provides doctors and medical students with a clear and concise explanation of statistical methods. It is an accessible and thorough account of a complex subject, and the previous edition h...Daugiau...
This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks. By...Daugiau...
This book covers the statistical foundations of generalized pairwise comparisons (GPC), applications in various disease areas, and considerations for patient-centricity in clinical research. It stands as an essential resource for a more holistic a...Daugiau...
In todays healthcare landscape, there is a pressing need for quantitative methodologies that include the patients perspective in any treatment decision. Handbook of Generalized Pairwise Comparisons: Methods for Patient-Centric Analysis provides a...Daugiau...
Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years o...Daugiau...
(Išleidimo metai: 06-Jun-2024, Hardback, Leidėjas: Cambridge University Press, ISBN-13: 9781316518700)
Multivariate biomarker discovery is increasingly important in the realm of biomedical research, and is poised to become a crucial facet of personalized medicine. This will prompt the demand for a myriad of novel biomarkers representing distinct omic...Daugiau...
There is only one published book on confidence interval for clinical research. This book has a cookbook style with several examples and codes so that methods presented in the book can be implemented. The primary audience will be statisticians....Daugiau...
Those who work in allied health professions and education aim to make peoples lives better. Often, however, it is hard to know how effective this work has been: would change have occurred if there was no intervention? Is it possible we are doing...Daugiau...
Objective intervention research is vital to improve outcomes, but this is a complex area, where it is all too easy to misinterpret evidence. This book uses practical examples to increase awareness of the numerous sources of bias that can lead to m...Daugiau...
The ultimate guide to dissemination and implementation research for public health, medicine, and the social sciencesIn the past twenty years, dissemination and implementation (D&I) research has sought to narrow the gap betwee...Daugiau...
How large a sample size do I need for my study? Although one of the most commonly-asked questions in statistics, the importance of proper sample size estimation seems to be overlooked by many preclinical researchers. Over the past two decades, nume...Daugiau...
IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR). It is an extension of the currently available regression methods, and...Daugiau...
Richard J Butler, Matthew J Butler, Barbara L Wilson
(Išleidimo metai: 12-May-2023, Hardback, Leidėjas: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811262302)
Advanced Statistics for Health Research provides a rigorous geometric understanding of models used in the analysis of health data, including linear and non-linear regression models, and supervised machine learning models. Models drawn from the healt...Daugiau...
Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of bios...Daugiau...
While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. This text presents the fundamental concepts and important aspects...Daugiau...
Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data. In clinical research many examples can be given...Daugiau...
IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method entitled Kernel Ridge Regression (KRR). It is an extension of the currently available regression methods, and...Daugiau...
This book should be appropriate for use both as a text and as a reference. This book delivers a ready-to-go well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical me...Daugiau...
Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the th...Daugiau...
