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Regression Models as a Tool in Medical Research

results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;

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Regression Models As A Tool In Medical Research

results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;

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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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Measurement Error

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;

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Measurement Error

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;

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Regression Models for the Comparison of Measurement Methods

This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one;

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Partially Linear Models

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing;

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Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

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Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

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Simultaneous Inference in Regression

/wl/mybook.html Most of the book focuses on normal-error linear regression models. The author presents simultaneous confidence bands for a;

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Simultaneous Inference in Regression

/wl/mybook.html Most of the book focuses on normal-error linear regression models. The author presents simultaneous confidence bands for a;

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Statistical Evaluation of Measurement Errors

chapters deal with the design and analysis of method comparison studies (concentrating primarily on quantitative measurements) ranging from simple;

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The LORELIA Residual Test

Method comparison studies are performed in order to prove equivalence between two measurement methods or instruments. The identification;

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Statistical Group Comparison

This is an incomparably useful examination of statistical methods for comparison. The nature of doing science, be it natural or social;

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Regression and Other Stories

is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and;

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Principles And Practice Of Structural Equation Modelling

factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression;

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Regression Methods in Biostatistics

advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for;

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Sensitivity Analysis in Linear Regression

This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The;

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Spatial Regression Models for the Social Sciences

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.;

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Methods And Applications Of Linear Models

material An ideal book for courses on linear models and linear regression at the undergraduate and graduate levels, the Third Edition of Methods;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Bootstrap Tests For Regression Models

performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation;

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Bootstrap Tests for Regression Models

performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation;

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Measurement Error in Nonlinear Models

It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field;

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Gaussian Process Regression Analysis for Functional Data

methodological developments for high dimensional data and variable selection. The remainder of the text explores advanced topics of functional regression;

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Regression And Time Series Model Selection

selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including;

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