Výsledky vyhledávání - "CAUSAL models"

Proposer of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’ Autor Seaman, Shaun R

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The Inflation Technique for Causal Inference with Latent Variables Autor Wolfe, Elie, Spekkens, Robert W., Fritz, Tobias

“…The problem of causal inference is to determine if a given probability distribution on observed variables is compatible with some causal structure. The…”
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Modeling and Discovering Direct Causes for Predictive Models Autor Chen, Yizuo, Bhatia, Amit

“…We introduce a causal modeling framework that captures the input-output behavior of predictive models (e.g., machine learning models). The framework enables us…”
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A Survey on Causal Discovery: Theory and Practice Autor Zanga, Alessio, Ozkirimli, Elif, Stella, Fabio

“…Understanding the laws that govern a phenomenon is the core of scientific progress. This is especially true when the goal is to model the interplay between…”
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A Crash Course in Good and Bad Controls Autor Cinelli, Carlos, Forney, Andrew, Pearl, Judea

“…Many students of statistics and econometrics express frustration with the way a problem known as “bad control” is treated in the traditional literature. The…”
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Interpreting Effect Sizes of Education Interventions Autor Kraft, Matthew A.

“…Researchers commonly interpret effect sizes by applying benchmarks proposed by Jacob Cohen over a half century ago. However, effects that are small by Cohen’s…”
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When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data? Autor Imai, Kosuke, Kim, In Song

“…Many researchers use unit fixed effects regression models as their default methods for causal inference with longitudinal data. We show that the ability of…”
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Review of Causal Discovery Methods Based on Graphical Models Autor Glymour, Clark, Zhang, Kun, Spirtes, Peter

“…A fundamental task in various disciplines of science, including biology, is to find underlying causal relations and make use of them. Causal relations can be…”
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Using causal models to bridge the divide between big data and educational theory Autor Kitto, Kirsty, Hicks, Ben, Buckingham Shum, Simon

“…An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This…”
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How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle’s Posterior Analytics Autor Eelink, Guus, Rückschloß, Kilian, Weitkämper, Felix

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What Would It Take to Change an Inference? Using Rubin's Causal Model to Interpret the Robustness of Causal Inferences Autor Frank, Kenneth A., Maroulis, Spiro J., Duong, Minh Q., Kelcey, Benjamin M.

“…We contribute to debate about causal inferences in educational research in two ways. First, we quantify how much bias there must be in an estimate to…”
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Logistic or linear? Estimating causal effects of experimental treatments on binary outcomes using regression analysis Autor Gomila, Robin

“…When the outcome is binary, psychologists often use nonlinear modeling strategies such as logit or probit. These strategies are often neither optimal nor…”
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The distinction between symptoms and traits in the Hierarchical Taxonomy of Psychopathology (HiTOP) Autor DeYoung, Colin G., Chmielewski, Michael, Clark, Lee Anna, Condon, David M., Kotov, Roman, Krueger, Robert F., Lynam, Donald R., Markon, Kristian E., Miller, Joshua D., Mullins‐Sweatt, Stephanie N., Samuel, Douglas B., Sellbom, Martin, South, Susan C., Thomas, Katherine M., Watson, David, Watts, Ashley L., Widiger, Thomas A., Wright, Aidan G. C.

“…The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the…”
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Matrix Completion Methods for Causal Panel Data Models Autor Athey, Susan, Bayati, Mohsen, Doudchenko, Nikolay, Imbens, Guido, Khosravi, Khashayar

“…In this article, we study methods for estimating causal effects in settings with panel data, where some units are exposed to a treatment during some periods…”
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Covariance-Based Structural Equation Modeling in the Journal of Advertising: Review and Recommendations Autor Hair, Joseph F., Babin, Barry J., Krey, Nina

“…In this article, we review applications of covariance-based structural equation modeling (SEM) in the Journal of Advertising (JA) starting with the first issue…”
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The Effect of Teacher Coaching on Instruction and Achievement: A Meta-Analysis of the Causal Evidence Autor Kraft, Matthew A., Blazar, David, Hogan, Dylan

“…Teacher coaching has emerged as a promising alternative to traditional models of professional development. We review the empirical literature on teacher…”
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On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data Autor Imai, Kosuke, Kim, In Song

“…The two-way linear fixed effects regression (2FE) has become a default method for estimating causal effects from panel data. Many applied researchers use the…”
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Implications of Local Friendliness Violation for Quantum Causality Autor Cavalcanti, Eric G., Wiseman, Howard M.

“…We provide a new formulation of the Local Friendliness no-go theorem of Bong et al. [Nat. Phys. 16, 1199 (2020)] from fundamental causal principles, providing…”
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How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study Autor Leszczensky, Lars, Wolbring, Tobias

“…Does X affect Y? Answering this question is particularly difficult if reverse causality is looming. Many social scientists turn to panel data to address such…”
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On causal and non‐causal cointegrated vector autoregressive time series Autor Rygh Swensen, Anders

“…Previous‐30 treatments of multivariate non‐causal time series have assumed stationarity. In this article, we consider integrated processes in a non‐causal…”
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