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The SAGE Handbook of Regression Analysis and Causal Inference

Covering both general and advanced aspects of multivariate methods, this handbook focuses on regression analysis of cross-sectional and;

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Counterfactuals and Causal Inference

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the;

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Counterfactuals & Causal Inference

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Statistical Models For Causal Analysis

This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social 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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Sense and Nonsense of Statistical Inference: Controversy

epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as;

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Sense and Nonsense of Statistical Inference

epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as;

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Ecological Inference

Explores the utility of techniques designed to make the inferences in causal modeling more reliable, including a comparison between;

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Handbook of Regression Methods

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook;

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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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Agent-based Models and Causal Inference

Agent-based Models and Causal Inference Scholars of causal inference have given little credence to the possibility that ABMs could be;

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A Handbook of Statistical Analyses using R, Third Edition

recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian;

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The SAGE Handbook of Quantitative Methods in Psychology

: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Causality and Probability in the Sciences

its careful analysis, "Causality and Probability in the Sciences" heralds the transition of causal inference from an art to a science.;

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Handbk Statistical Analyses Using R 3rd

recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values;

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Handbook of Graphical Models

, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number;

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Handbook of Graphical Models

, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number;

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Multi-Method Social Science

regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process;

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Multi-method Social Science

regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process;

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Causal Analysis in Population Studies

and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard;

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Causal Analysis in Population Studies

and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard;

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Understanding Multivariate Research

of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and;

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Understanding Multivariate Research

of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and;

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