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Practical Propensity Score Methods Using R

propensity score analysis with the R statistical language.;

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Propensity Score Methods and Applications

A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics;

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Propensity Score Analysis: Statistical Methods and Applications

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and;

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Statistical Approaches to Causal Analysis

A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods;

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Racial Profiling

Racial Profiling: Using Propensity Score Matching to Examine Focal Concerns Theory combines theory and propensity score matching to offer;

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Racial Profiling

Racial Profiling: Using Propensity Score Matching to Examine Focal Concerns Theory combines theory and propensity score matching to offer;

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Qualitative and Mixed Methods Data Analysis Using Dedoose

Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both;

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Impact of Business Association Services and Training Programs on Export Performance

firm export performance, defined as export propensity and export share, are empirically tested using the propensity score matching method. The;

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Advanced Epidemiologic Methods for the Study of Rheumatic Diseases, An Issue of Rheumatic Disease Clinics of North America

measures, Alternative longitudinal study designs, Propensity score methods for observational data, Approaches to deal with missing data, Applied;

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Analysis of Correlated Data with SAS and R

of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by;

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Analysis of Correlated Data with SAS and R

of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by;

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Causal Inf In Statistics Social

analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special;

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Practical Statistical Methods

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without;

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Practical Statistical Methods

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without;

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Numerical Analysis Using R

real-world problems, this book will be useful to students and practitioners in all areas of science and engineering, especially those using R.;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;

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Applied Biclustering Methods for Big and High-Dimensional Data Using R

Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix;

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Understanding and Applying Basic Statistical Methods Using R

Statistical Methods Using R also includes: * Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple;

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Numerical Methods

The fourth edition of Numerical Methods Using MATLAB (R) provides a clear and rigorous introduction to a wide range of numerical methods;

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Statistical Methods for Handling Incomplete Data

advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application;

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Quantitative Methods for Management

by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel (R) dataset. The practical;

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Early Childhood Environment Rating Scale (ECERS-R)

Featuring a new spiral binding, the updated ECERS-R (Early Childhood Environment Rating Scale-Revised Edition) offers more practical;

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Quantitative Methods for Management: A Practical Approach

by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel (R) dataset. The practical;

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Spatial Analysis with R

: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab;

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Using R for Numerical Analysis in Science and Engineering

, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the;

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Practical Bifurcation and Stability Analysis

basic knowledge of calculus, and using detailed examples, problems, and figures, this is an ideal textbook for graduate students.;

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