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Advanced Survival Models

endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models;

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Advanced Survival Models

endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models including frailty models;

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Dynamical Biostatistical Models

for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most;

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Survival Analysis

: Models and Applications: * Presents basic techniques before leading onto some of the most advanced topics in survival analysis. * Assumes only a;

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Survival Models and Data Analysis

, univariate survival function, multiple-failure data, and advanced topics.;

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Survival Models and Data Analysis

, univariate survival function, multiple-failure data, and advanced topics.;

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An Introduction to Survival Analysis Using Stata, Revised Third Edition

An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to;

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Loss Models

An essential resource for constructing and analyzing advanced actuarial models Loss Models: Further Topics presents extended coverage;

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Statistical Methods for Survival Trial Design

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the;

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Statistical Methods for Survival Trial Design

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the;

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Advanced R Statistical Programming and Data Models

data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R;

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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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Advanced Quantitative Microbiology for Foods and Biosystems

Presenting a novel view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems, Advanced;

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Advanced Quantitative Microbiology for Foods and Biosystems

Presenting a novel view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems, Advanced;

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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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Introducing Survival & Event Hist Analys

students and instructors, Introducing Survival Analysis and Event History Analysis allows researchers to quickly master these advanced statistical;

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Survival Analysis Using S

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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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life;

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Integrated Population Biology and Modeling, Part A

-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx): Some Innovative Methodological;

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Statistical Models

theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with;

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Statistical Models

theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with;

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Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction

. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit;

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Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction

. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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