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Regression Methods in Biostatistics

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used;

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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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The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

, including: * Correlation, regression, and logistic regression * Diagnostics * Estimating means and proportions * Normal distribution and the central;

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Linear Regression Analysis

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical;

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Biostatistics with R

in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and;

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Biostatistics with R

in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and;

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Biostatistics

issues, such as linear regression theory and application.;

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Introductory Biostatistics 2nd Edition

. Subsequently, the book focuses on more advanced topics with coverage of regression analysis, logistic regression, methods for count data, analysis;

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Logistic Regression with Missing Values in the Covariates

logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the;

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Robust Methods in Biostatistics

classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model;

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Biostatistical Health Research Excel

most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox;

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Biostatistics and Computer-based Analysis of Health Data using Stata

-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book;

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Biostatistics and Computer-based Analysis of Health Data Using SAS

-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book;

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Biostatistics

Regression, Analysis of Survey Data, and Study Designs. The book is recommended for students in the health sciences, public health;

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Bayesian Methods in Epidemiology

occurrence of disease. It covers introductory adjustment techniques to compare mortality between states and regression methods to study the;

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Bayesian Methods in Epidemiology

the occurrence of disease. It covers introductory adjustment techniques to compare mortality between states and regression methods to study;

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Applied Biostatistics for the Health Sciences, Sec ond Edition

and biostatistics. The book covers sample design, logistic regression, experimental design, survival analysis, basic statistical computation;

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Econometric Society Monographs

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor;

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Econometric Society Monographs

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor;

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Introduction to Biostatistics

regression, correlation, and analysis of frequencies. Numerous tables provide computational methods, from initial setup to final result, for solving;

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Introduction to Biostatistics

regression, correlation, and analysis of frequencies. Numerous tables provide computational methods, from initial setup to final result, for solving;

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Biostatistics

Logistic regression and adjusted odds ratios Survival analysis Hierarchical models and meta-analysis Decision theory and sample size determination;

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Analysis of Doubly Truncated Data

the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can;

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Basic & Clinical Biostatistics

chapter on survey research and expanded discussion of logistic regression, the Cox model, and other multivariate statistical methods*Extensive;

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Analysis of Incidence Rates

standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate;

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Analysis of Incidence Rates

, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for;

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