Автор: Moore, Dirk F. Название: Applied survival analysis using r ISBN: 331931243X ISBN-13(EAN): 9783319312439 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle.
Автор: Hooshang Nayebi Название: Advanced Statistics for Testing Assumed Causal Relationships ISBN: 3030547531 ISBN-13(EAN): 9783030547530 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.
Автор: Korosteleva Olga Название: Advanced Regression Models with SAS and R ISBN: 0367732424 ISBN-13(EAN): 9780367732424 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The material covered by this book consists of a collection of regression models beyond linear regression. The linear regression model is presented in the first chapter in order to refresh the reader`s memory, emphasize certain points, and set the notation.The subsequent chapters talk about models for categorical data, count data, proportions, lo
Автор: Zeni, Mary Beth, Название: Principles of epidemiology for advanced nursing practice : ISBN: 1284154947 ISBN-13(EAN): 9781284154948 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 84390.00 T Наличие на складе: Нет в наличии. Описание: Principles of Epidemiology for Advanced Nursing Practice: A Population Health Perspective provides students and practitioners with an overview of epidemiology concepts as well as the history, models and frameworks in use today. Written from a nursing perspective, this text takes an application-to-practice approach and teaches nurses how to critically analyze population-level data with the goal of improving population health outcomes. The text is keenly focused on the application of epidemiologic principles in data interpretation and critical analysis of published studies, including research design and analysis challenges.
Topics covered include: social epidemiology and determinants of health, data and epidemiology, descriptive epidemiology, analytic epidemiology, epidemiology in evaluative research, epidemiology in health policy, and additional select topics. Principles of Epidemiology for Advanced Nursing Practice: A Population Health Perspective wants to engage the student and provide an engaging learning experience. The incorporation of case studies and links to online resources in each chapter lend real-world experience and help bring the content to life.
Additionally, the content seeks to demonstrate to students how principles of epidemiology surround us each day on local, regional, national, and global levels. Furthermore, through study and exploration of this content we want future advanced practice nurses to understand the critical role they play in promoting population health. Instructor Resources include: Interactive lecturesInstructor resource guideAssessmentsDiscussion questionsSyllabusCompetency mappingTime-on-task analysisPowerPoint slides
Автор: Korosteleva, Olga (california State University, Long Beach, Usa) Guo, Weibin Название: Advanced regression models with sas and r ISBN: 1138049018 ISBN-13(EAN): 9781138049017 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on model accuracy and the interpretation of results. For each regression, the fitted model is presented along with interpretation of estimated regression coefficients and prediction of response for given values of predictors.
Features:
Presents the theoretical framework for each regression.
Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical.
Uses examples based on real-life consulting projects.
Provides complete SAS and R codes for each example.
Includes several exercises for every regression.
Advanced Regression Models with SAS and R is designed as a text for an upper division undergraduate or a graduate course in regression analysis. Prior exposure to the two software packages is desired but not required.
The Author:
Olga Korosteleva is a Professor of Statistics at California State University, Long Beach. She teaches a large variety of statistical courses to undergraduate and master's students. She has published three statistical textbooks. For a number of years, she has held the position of faculty director of the statistical consulting group. Her research interests lie mostly in applications of statistical methodology through collaboration with her clients in health sciences, nursing, kinesiology, and other fields.
Автор: Legrand, Catherine Название: Advanced Survival Models ISBN: 0367149672 ISBN-13(EAN): 9780367149673 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook is for a second course in survival analysis, gathering together advanced survival models, including frailty, cure, competing risks, and joint models. It includes lots of real data examples to illustrate the methods, with implementation using R software, and can be used for an advanced course on survival analysis.
Автор: Torben Martinussen; Thomas H. Scheike Название: Dynamic Regression Models for Survival Data ISBN: 144191904X ISBN-13(EAN): 9781441919045 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the aim of describing time-varying effects of explanatory variables.
Автор: Van Den Hout Название: Multi-State Survival Models For Int ISBN: 1466568402 ISBN-13(EAN): 9781466568402 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics.
Автор: Nicholas P. Jewell; Alan C. Kimber; Mei-Ling Ting Название: Lifetime Data: Models in Reliability and Survival Analysis ISBN: 0792337832 ISBN-13(EAN): 9780792337836 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University.
Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life. This self-contained volume examines these tools in survey articles written by experts currently working on the development and evaluation of models and methods. While a number of chapters deal with general theory, several explore more specific connections and recent results in "real-world" reliability theory, survival analysis and related fields.
Specific topics covered include:
* non-parametric estimation of lifetimes of subjects exposed to radiation
* statistical analysis of simultaneous degradation-mortality data with covariates of the aged
* estimation of maintenance efficiency in semiparametric imperfect repair models
* cancer prognosis using survival forests
* short-term health problems related to air pollution: analysis using semiparametric generalized additive models
* parametric models in accelerated life testing and fuzzy data
* semiparametric models in the studies of aging and longevity
This book will be of use as a reference text for general statisticians, theoreticians, graduate students, reliability engineers, health researchers, and biostatisticians working in applied probability and statistics.
Автор: David D. Hanagal Название: Modeling Survival Data Using Frailty Models ISBN: 9811511802 ISBN-13(EAN): 9789811511806 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Поставка под заказ. Описание: This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications.
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