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Power Analysis of Trials with Multilevel Data

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data;

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Power Analysis of Trials with Multilevel Data

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data;

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Multilevel Modeling

Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by;

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Multilevel Analysis

This volume provides an introduction to multilevel analysis for applied researchers. The term multilevel refers to a hierarchical or nested;

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Multilevel Converters for Industrial Applications

of voltage-source multilevel converters as power processors, and their capabilities and limitations. The book begins with an overview of medium;

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Multilevel Converters for Industrial Applications

of voltage-source multilevel converters as power processors, and their capabilities and limitations. The book begins with an overview of medium;

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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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Modular Multilevel Converters

analysis of the conventional and advanced modular multilevel converters employed in motor drives, HVDC systems, and power quality improvement;

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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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Advanced Multilevel Converters and Applications in Grid Integration

of power converters and advances multilevel converter topologies and examines their control strategies, together with practical engineering;

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An Introduction to Multilevel Modeling Techniques

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational;

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An Introduction to Multilevel Modeling Techniques

Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational;

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Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;

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Multilevel Analysis

multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel;

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Analysis of Clinical Trials Using SAS

trials, including analysis of stratified data, incomplete data, multiple inferences, issues arising in safety and efficacy monitoring, and;

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Analysis of Clinical Trials Using SAS

trials, including analysis of stratified data, incomplete data, multiple inferences, issues arising in safety and efficacy monitoring, and;

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Analysis of Clinical Trials Using SAS

trials, including analysis of stratified data, incomplete data, multiple inferences, issues arising in safety and efficacy monitoring, and;

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Multilevel Modelling For Public Health &

multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training;

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Multilevel Analysis of Individuals and Cultures

of individual and cultural data. Divided into four parts, the book opens with the basic conceptual and theoretical issues in multilevel research;

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Multilevel Analysis of Individuals and Cultures

of individual and cultural data. Divided into four parts, the book opens with the basic conceptual and theoretical issues in multilevel research;

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Multilevel and Longitudinal Modeling with PASW / SPSS

modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and/or cross;

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Multilevel Modelling of Health Statistics

Multilevel modelling facilitates the analysis of hierarchical data where observations may be nested within higher levels of classification;

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Design and Analysis of Experiments in the Health Sciences

in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new;

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Multilevel Modeling

measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced;

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Multilevel Modeling

measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced;

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Statistical Design, Monitoring, and Analysis of Clinical Trials: Principles and Methods

principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential;

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Statistical Design and Analysis of Clinical Trials

principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential;

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