“‘Causality’ Tag”,2019-05-13 ():
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Bibliography for tag
statistics/causality, most recent first: 2 related tags, 148 annotations, & 53 links (parent).
- See Also
- Gwern
- “Against Caring About Subtle Poisons”, 2023
- “Statistical Notes”, 2014
- “Timecrimes: Time Travel In Hell”, 2023
- “Everything Is Correlated”, 2014
- “How Often Does Correlation=Causality?”, 2014
- “Regression To The Mean Fallacies”, 2021
- “Why Correlation Usually ≠ Causation”, 2014
- “The Replication Crisis: Flaws in Mainstream Science”, 2010
- “How Should We Critique Research?”, 2019
- “‘Story Of Your Life’ Is Not A Time-Travel Story”, 2012
- Links
- “When Machine Learning Tells the Wrong Story”
- “Causal Inference on Human Behaviour”, et al 2024
- “Evaluating the World Model Implicit in a Generative Model”, et al 2024
- “Automated Social Science: Language Models As Scientist and Subjects”, et al 2024
- “Covid-19 Is (Probably) Not an Exogenous Shock or Valid Instrument”, 2024
- “Robust Agents Learn Causal World Models”, 2024
- “Correcting for Endogeneity in Models With Bunching”, et al 2023
- “A/B Interactions: A Call to Relax”, 2023
- “Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations”, et al 2023
- “Attributing Agnostically Detected Large Reductions in Road CO2 Emissions to Policy Mixes”, et al 2022
- “The Magnitude Heuristic: Larger Differences Increase Perceived Causality”, 2022
- “Can Foundation Models Talk Causality?”, et al 2022
- “Clarifying the Causes of Consistent and Inconsistent Findings in Genetics”, et al 2022
- “Residual Confounding in Health Plan Performance Assessments: Evidence From Randomization in Medicaid”, et al 2022
- “Sibling Comparison Studies”, et al 2022
- “Learning Causal Overhypotheses through Exploration in Children and Computational Models”, et al 2022
- “Causal Emergence Is Widespread across Measures of Causation”, 2022
- “Megastudies Improve the Impact of Applied Behavioral Science”, et al 2021
- “Inducing Causal Structure for Interpretable Neural Networks (IIT)”, et al 2021
- “Testing the Structure of Human Cognitive Ability Using Evidence Obtained from the Impact of Brain Lesions over Abilities”, 2021
- “Providing a Lower-Bound Estimate for Psychology’s ‘Crud Factor’: The Case of Aggression”, 2021
- “Is Coffee the Cause or the Cure? Conflicting Nutrition Messages in 2 Decades of Online New York Times’ Nutrition News Coverage”, 2021
- “Causal Inference With Latent Treatments”, 2021
- “Causal and Associational Linking Language From Observational Research and Health Evaluation Literature in Practice: A Systematic Language Evaluation”, et al 2021
- “Common Elective Orthopaedic Procedures and Their Clinical Effectiveness: Umbrella Review of Level 1 Evidence”, et al 2021
- “What Is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory”, et al 2021
- “The Revolution Will Be Hard to Evaluate: How Co-Occurring Policy Changes Affect Research on the Health Effects of Social Policies”, et al 2021
- “The Piranha Problem: Large Effects Swimming in a Small Pond”, et al 2021
- “My Cat Chester’s Dynamical Systems Analysyyyyy7777777777777777y7is of the Laser Pointer and the Red Dot on the Wall: Correlation, Causation, or SARS-Cov-2 Hallucination?”, 2021
- “Interpolating Causal Mechanisms: The Paradox of Knowing More”, et al 2021
- “Agent Incentives: A Causal Perspective”, et al 2021
- “Quantifying Causality in Data Science With Quasi-Experiments”, et al 2021
- “Intelligence and General Psychopathology in the Vietnam Experience Study: A Closer Look”, 2021
- “The Causal Foundations of Applied Probability and Statistics”, 2020
- “Objecting to Experiments Even While Approving of the Policies or Treatments They Compare”, et al 2020
- “Commentary: Cynical Epidemiology”, 2020
- “Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks”, 2020
- “Rethinking Causation for Data-Intensive Biology: Constraints, Cancellations, and Quantized Organisms: Causality in Complex Organisms Is Sculpted by Constraints rather than Instigators, With Outcomes Perhaps Better Described by Quantized Patterns Than Rectilinear Pathways”, 2020
- “Health Recommendations and Selection in Health Behaviors”, 2020
- “Why the Increasing Use of Complex Causal Models Is a Problem: On the Danger Sophisticated Theoretical Narratives Pose to Truth”, 2020
- “Designing Agent Incentives to Avoid Reward Tampering”, et al 2019
- “Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective”, et al 2019
- “A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook”, et al 2019
- “Correlation = Causation? Music Training, Psychology, and Neuroscience”, 2019
- “Effect of a Workplace Wellness Program on Employee Health and Economic Outcomes: A Randomized Clinical Trial”, 2019
- “Why Scatter Plots Suggest Causality, and What We Can Do about It”, 2018
- “Using Genetic Data to Strengthen Causal Inference in Observational Research”, et al 2018
- “Causal Language and Strength of Inference in Academic and Media Articles Shared in Social Media (CLAIMS): A Systematic Review”, et al 2018
- “Measuring Consumer Sensitivity to Audio Advertising: A Field Experiment on Pandora Internet Radio”, et al 2018
- “A Combined Analysis of Genetically Correlated Traits Identifies 187 Loci and a Role for Neurogenesis and Myelination in Intelligence”, et al 2018
- “Polygenic Prediction of the Phenome, across Ancestry, in Emerging Adulthood”, et al 2017
- “Percutaneous Coronary Intervention in Stable Angina (ORBITA): a Double-Blind, Randomized Controlled Trial”, Al- et al 2017
- “Implicit Causal Models for Genome-Wide Association Studies”, 2017
- “Bias and High-Dimensional Adjustment in Observational Studies of Peer Effects”, 2017
- “The Surprising Implications of Familial Association in Disease Risk”, et al 2017
- “Graphical Models for Quasi-Experimental Designs”, et al 2017
- “Could a Neuroscientist Understand a Microprocessor?”, 2016
- “Redundancy, Unilateralism and Bias beyond GDP—Results of a Global Index Benchmark”, 2016
- “Coz: Finding Parallel Code That Counts With Causal Profiling”, 2016
- “Agreement of Treatment Effects for Mortality from Routinely Collected Data and Subsequent Randomized Trials: Meta-Epidemiological Survey”, et al 2016
- “Shared Genetic Aetiology between Cognitive Functions and Physical and Mental Health in UK Biobank (n = 112,151) and 24 GWAS Consortia”, et al 2016
- “Beyond GDP? Welfare across Countries and Time”, 2016
- “A Test of Exogeneity Without Instrumental Variables in Models With Bunching”, 2015
- “The Unfavorable Economics of Measuring the Returns to Advertising”, 2015
- “Mendelian Randomization With Invalid Instruments: Effect Estimation and Bias Detection through Egger Regression (MR-Egger)”, et al 2015
- “Bounding a Linear Causal Effect Using Relative Correlation Restrictions”, 2015
- “When Causation Does Not Imply Correlation: Robust Violations of the Faithfulness Axiom”, 2015
- “When Correcting for Unreliability of Job Performance Ratings, the Best Estimate Is Still 0.52”, et al 2014
- “The Mystery Machine: End-To-End Performance Analysis of Large-Scale Internet Services”, et al 2014 (page 2)
- “Converting Rejections into Positive Stimuli”, 2014
- “Observational Studies Often Make Clinical Practice Recommendations: an Empirical Evaluation of Authors’ Attitudes”, et al 2013
- “A Decade of Reversal: An Analysis of 146 Contradicted Medical Practices”, 2013
- “The Iron Law Of Evaluation And Other Metallic Rules”, 2012
- “Correlation and Causation in the Study of Personality”, 2012
- “Does Retail Advertising Work? Measuring the Effects of Advertising on Sales Via a Controlled Experiment on Yahoo”, 2011
- “Here, There, and Everywhere: Correlated Online Behaviors Can Lead to Overestimates of the Effects of Advertising”, et al 2011
- “The Possibility of Unmeasured Confounding Variables in Observational Studies: a Forgotten Fact?”, 2011
- “Deming, Data and Observational Studies”
- “Overestimation of the Effects of Adherence on Outcomes: a Case Study in Healthy User Bias and Hypertension”, et al 2011
- “Causal Inference and Developmental Psychology”, 2010
- “Causal Inference and Observational Research: The Utility of Twins”, et al 2010
- “Association of Bisphenol A With Diabetes and Other Abnormalities”
- “Retrospectives Guinnessometrics: The Economic Foundation of ‘Student’s’ t”, 2008
- “Systematic Reviews of Animal Experiments Demonstrate Poor Contributions Toward Human Healthcare”, 2008
- “Clustered Environments and Randomized Genes: A Fundamental Distinction between Conventional and Genetic Epidemiology”, et al 2007
- “Causal Inference in Multisensory Perception”, et al 2007
- “How Close Is Close Enough? Evaluating Propensity Score Matching Using Data from a Class Size Reduction Experiment”, 2007
- “Proceeding From Observed Correlation to Causal Inference: The Use of Natural Experiments”, 2007
- “Personality and the Prediction of Consequential Outcomes”, Ozer & Benet-2006
- “Comparison of Evidence on Harms of Medical Interventions in Randomized and Nonrandomized Studies”, et al 2006
- “Contradicted and Initially Stronger Effects in Highly Cited Clinical Research”, 2005
- “Looking to the 21st Century: Have We Learned from Our Mistakes, or Are We Doomed to Compound Them?”, 2004
- “New Evidence for the Theory of the Stork”, 2004
- “Observational versus Randomized Trial Evidence”, 2004
- “Testing Hypotheses about the Relationship between Cannabis Use and Psychosis”, et al 2003
- “Personal Reflections on Lessons Learned from Randomized Trials Involving Newborn Infants, 1951–16196757ya”, 2003
- “Nonexperimental Replications of Social Experiments: A Systematic Review”, et al 2002
- “It Pays to Be Ignorant: A Simple Political Economy of Rigorous Program Evaluation”, 2002
- “Can Nonexperimental Comparison Group Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-To-Work Programs? MDRC Working Papers on Research Methodology”, et al 2002
- “Comparison of Evidence of Treatment Effects in Randomized and Nonrandomized Studies”, et al 2001
- “Crosstalk and Specificity in Signaling: Are We Crosstalking Ourselves into General Confusion?”, et al 2001
- “Storks Deliver Babies (p = 0.008)”, 2001
- “Study Design and Estimates of Effectiveness”, Mac et al 2000
- “Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs”, 1999
- “Interpreting the Evidence: Choosing between Randomized and Non-Randomized Studies”, et al 1999
- “Superadditive Correlation”, et al 1999
- “Causality in Complex Systems”, 1999
- “Spurious Precision? Meta-Analysis of Observational Studies”, et al 1998
- “Choosing Between Randomized and Non-Randomized Studies”, et al 1998
- “Who Goes First? The Story of Self-Experimentation in Medicine”, 1998
- “The Unpredictability Paradox: Review of Empirical Comparisons of Randomized and Non-Randomized Clinical Trials”, 1998
- “There Is a Time and a Place for Significance Testing”, et al 1997
- “Evaluating Program Evaluations: New Evidence on Commonly Used Nonexperimental Methods”, 1995
- “Inferring the Direction of Causation in Cross-Sectional Twin Data: Theoretical and Empirical Considerations”, 1994
- “Testing Hypotheses about Direction of Causation Using Cross-Sectional Family Data”, et al 1993
- “Bias in Relative Odds Estimation owing to Imprecise Measurement of Correlated Exposures”, 1992
- “Smoking As ‘Independent’ Risk Factor for Suicide: Illustration of an Artifact from Observational Epidemiology?”, et al 1992
- “How Independent Are ‘Independent’ Effects? Relative Risk Estimation When Correlated Exposures Are Measured Imprecisely”, 1991
- “Developing Improved Observational Methods for Evaluating Therapeutic Effectiveness”, et al 1990
- “Memories of the British Streptomycin Trial in Tuberculosis: The First Randomized Trial”, 1990
- “The Adequacy of Comparison Group Designs for Evaluations of Employment-Related Programs”, 1987
- “Evaluating the Econometric Evaluations of Training Programs With Experimental Data”, 1986
- “Why Do We Need Some Large, Simple Randomized Trials?”, et al 1984
- “Essence of Statistics (Second Edition)”, 1982
- “The Paradoxes of Time Travel”, 1976
- Heredity, Environment, & Personality: A Study of 850 Sets of Twins, 1976
- “On the Alleged Falsity of the Null Hypothesis”, 1975
- “Theory Confirmation in Psychology”, 1975
- “On Prior Probabilities of Rejecting Statistical Hypotheses”, 1973
- “The Correlation between Targets and Instruments”, 1972
- “A Computer Movie Simulating Urban Growth in the Detroit Region”, 1970
- “Use and Abuse of Regression”, 1966
- “Distributions of Correlation Coefficients in Economic Time Series”, 1961
- “The Fallacy Of The Null-Hypothesis Statistical-Significance Test”, 1960
- “Cigarettes, Cancer, And Statistics”, 1958
- “The Influence of ‘Statistical Methods for Research Workers’ on the Development of the Science of Statistics”, 1951
- “‘Superstition’ in the Pigeon”, 1948
- “A New Measure of Introversion-Extroversion”, Evans & 1941
- “”Student” As Statistician”, 1939
- “Why Do We Sometimes Get Nonsense-Correlations between Time-Series?–A Study in Sampling and the Nature of Time-Series”
- “Behavior Genetic Frameworks of Causal Reasoning for Personality Psychology”
- “Force Concept Inventory”
- “The Initial Knowledge State of College Physics Students”
- “Inventing the Randomized Double-Blind Trial: The Nürnberg Salt Test of 1835”
- “Intellectual Hipsters and Meta-Contrarianism”
- “Guessing the Teacher’s Password”
- “Confounding Variables”
- “Correlation”, 2024
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