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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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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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Statistical Approaches to Causal Analysis

in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis.;

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Statistical Methods for Handling Incomplete Data

in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and;

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Statistical Methods for Drug Safety

the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic;

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Statistical Methods for Drug Safety

the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic;

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Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives

to describing a wide range of intermediate and advanced statistical techniques.* Covers key topics such as multiple imputation, propensity;

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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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Statistics & Causality

in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part;

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Advanced Statistics in Criminology and Criminal Justice

propensity score matching. It also examines the problem of statistical power, and how it can be used to better design studies. Finally, it discusses;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Analysis of Correlated Data with SAS and R

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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

Bayesian Methods in Rheumatology, Qualitative methods, Similarity Network Fusion, Systematic reviews/meta-analysis and randomized trials, and;

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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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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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Advances In Multivariate Statistical Methods

This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and;

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Statistical Genomics

reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls. Through and practical, Statistical Genomics: Methods and;

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Statistical Design and Analysis in Pharmaceutical Science

Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development;

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Statistical Data Analysis Based on the L1-Norm and Related Methods

importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.;

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Statistical Design and Analysis in Pharmaceutical Science: Validation, Process Controls, and Stability

Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development;

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Cure Models

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained;

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Cure Models

Covers statistical concepts, methods and applications related to all aspects of survival analysis with cure, integration of insights gained;

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Likelihood and Bayesian Inference

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it;

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