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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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Statistics at Square Two 3e

critically with modern research as the authors explain the correct interpretation of results in the medical literature. The book includes two brand;

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Quantile Regression

connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on;

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Regression Methods for Medical Research

Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research;

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Economic Applications of Quantile Regression

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;

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Economic Applications of Quantile Regression

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;

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Simultaneous Inference in Regression

of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and;

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Simultaneous Inference in Regression

of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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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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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Statistical Modelling for Social Researchers

looking to apply statistical modelling techniques in research. The book also serves as an introduction for those wishing to develop more detailed;

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Statistical Modelling for Social Researchers

looking to apply statistical modelling techniques in research. The book also serves as an introduction for those wishing to develop more detailed;

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Dealing with Endogeneity in Regression Models with Dynamic Coefficients

Dealing with Endogeneity in Regression Models with Dynamic Coefficients presents a unified econometric framework for dealing with the;

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Regression Analysis in Medical Research

This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and;

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Practical Guide to Logistic Regression

models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R;

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Practical Guide to Logistic Regression

models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R;

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Advanced Regression Models with SAS and R

exercises for every regression. Advanced Regression Models with SAS and R is designed as a text for an upper division undergraduate or a graduate;

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Advanced Regression Models with SAS and R

. Includes several exercises for every regression. Advanced Regression Models with SAS and R is designed as a text for an upper division;

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Essential Medical Statistics

, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more;

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Essentials of Medical Statistics

, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new;

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Regression: Models, Methods and Applications

regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal;

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Multivariable Analysis

techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before;

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Statistical Analysis Of Medical Data Using Sas

Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and;

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Progress through Regression

story of the Cobb-Douglas regression from its introduction to its acceptance as general-purpose research tool. The story intersects with the;

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Applied Regression Analysis and Generalized Linear Models

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the;

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