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Lifetime Data Statistical Models & Metho

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;

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Statistical Models and Methods for Lifetime Data

survival analysis problems. -Biometrics A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data;

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Dynamic Prediction in Clinical Survival Analysis

There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like;

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The EM Algorithm and Related Statistical Models

data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov;

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Statistical Models in S

Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance;

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Analysis Of Longitudinal Data

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Lifetime Data

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;

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Lifetime Data

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;

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First Hitting Time Regression Models

statistical literature, the regression methods actually employed in lifetime data analysis are limited, particularly in the biomedical field where D;

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A Handbook of Statistical Graphics Using SAS ODS

phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis;

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A Handbook of Statistical Graphics Using SAS ODS

phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis;

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Design of Experiments for Reliability Achievement

improvements. The book is divided into four sections. The first section focuses on statistical distributions and methods for modeling reliability data;

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Bringing Bayesian Models to Life

data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms;

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Bringing Bayesian Models to Life

data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms;

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Statistical, Mapping and Digital Approaches in Healthcare

Statistical, Mapping and Digital Approaches in Healthcare addresses all health territories, starting from the analysis of geographical data;

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Time Series Data Analysis Using EViews

Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to;

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Handbook of Latent Variable and Related Models

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships;

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Reliability Theory

, which crucially depends on how we handle statistical reliability data. The very nature of the object of reliability theory - system lifetime;

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The Birnbaum-Saunders Distribution

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders;

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Models in Statistical Social Research

data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book;

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Models in Statistical Social Research

data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book;

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Analysis Of Longitudinal Data 2nd

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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Confidence Intervals in Generalized Regression Models

inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses;

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Confidence Intervals in Generalized Regression Models

inference from statistical evidence consisting of data and its statistical model. Provides a Large Collection of Models The book encompasses;

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Statistical Methods for Drug Safety

of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for;

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Statistical Methods for Drug Safety

of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for;

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Advanced R Statistical Programming and Data Models

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation;

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