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Statistical Models and Methods for Lifetime Data

models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis;

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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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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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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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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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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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The EM Algorithm and Related Statistical Models

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method 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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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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Copula Based Markov Models for Time Series

This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated;

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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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Nonparametric Statistical Methods Using R

nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the;

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Nonparametric Statistical Methods Using R

general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation;

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Statistical Methods for Non-Precise Data

The formal description of non-precise data before their statistical analysis is, except for error models and interval arithmetic, a;

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Medical Product Safety Evaluation

methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered;

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Medical Product Safety Evaluation

methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered;

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First Hitting Time Regression Models

This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the;

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Accelerated Life Models

, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables;

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Accelerated Life Models

, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables;

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Robust Nonparametric Statistical Methods

Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers;

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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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An Introduction to Generalized Linear Models

framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters;

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Hybrid Censoring Models Methods & Apps

censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from;

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Statistics and Machine Learning Methods for EHR Data

methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.;

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Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases

volume * presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata * introduces statistical models;

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Introduction to Statistical Methods for Financial Models

This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters;

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