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Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;
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Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;
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Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;
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Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;
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Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography;
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about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by: * Providing a broad;
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data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks;
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areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students;
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A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques;
Vergelijkbare producten zoals Analysing Survival Data from Clinical Trials and Observational Studies
A practical guide to methods of survival analysis for medical researchers with limited statistical experience. Methods and techniques;
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Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing;
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Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing;
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Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data;
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is a real need for a book that presents an overview of methodology used in the interpretation and analysis of competing risks, with a focus on;
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Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range;
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Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul Allison, is an accessible, data;
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Multivariate Frequency Analysis of Hydro-Meteorological Variables: A Copula-Based Approach provides comprehensive and detailed;
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Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival;
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, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;
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, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;
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models. Survival analysis is a field of its own that requires specialized data management and analysis procedures. To meet this requirement;
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field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;
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Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;
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This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;
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assessing Biomarkers, analysis of competing risks; clinical trials including sequential and group sequential, crossover designs, cluster randomized;
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This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;
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This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;
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