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1. The science of stories
: applications of the narrative policy framework in public policy analysis
by McBeth, Mark K., editor and Shanahan, Elizabeth A., editor and Jones, Michael D., 1973- editor
2014, 1st edition., ISBN 1137370122, xx, 280
The study of narratives in a variety of disciplines has grown in recent years as a method of better explaining underlying concepts in their respective fields.... 
Policy sciences | Public administration | Political science
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2. Risk assessment and decision analysis with Bayesian networks
by Fenton, Norman E and Neil, Martin
2013, ISBN 9781439809105, xix, 503
Bayesian statistical decision theory | Risk management | Decision making
Book
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3. Exploratory causal analysis with time series data
by McCracken, James M
2016, Synthesis lectures on data mining and knowledge discovery, ISBN 1627059784, Volume 12, xiii, 133
Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis... 
Time-series analysis | Causality (Physics) | Computing and Processing
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4. Full Text What mediation analysis can (not) do
by Fiedler, Klaus and Schott, Malte and Meiser, Thorsten
Journal of Experimental Social Psychology, ISSN 0022-1031, 2011, Volume 47, Issue 6, pp. 1231 - 1236
The present article is concerned with a common misunderstanding in the interpretation of statistical mediation analyses. These procedures can be sensibly used... 
Spurious mediator | Attitude change | Sobel test | Causal model | FIT | PSYCHOLOGY, SOCIAL | CONVERGENT | VALIDATION
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5. Full Text Mediation Analysis: A Practitioner's Guide
by VanderWeele, Tyler J
Annual Review of Public Health, ISSN 0163-7525, 3/2016, Volume 37, Issue 1, pp. 17 - 32
This article provides an overview of recent developments in mediation analysis, that is, analyses used to assess the relative magnitude of different pathways... 
indirect effects | mechanism | pathway analysis | direct effects | Pathway analysis | Indirect effects | Mechanism | Direct effects | BIAS | MARGINAL STRUCTURAL MODELS | NATURAL DIRECT | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | EFFECT DECOMPOSITION | MEASUREMENT ERROR | SENSITIVITY-ANALYSIS | CAUSAL INTERPRETATION | MISCLASSIFICATION | Epidemiologic Research Design | Logistic Models | Confounding Factors (Epidemiology) | Time Factors | Causality | Bias | Mediation | Forecasts and trends | Methods
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6. Full Text Best (but oft-forgotten) practices: The design, analysis, and interpretation of Mendelian randomization studies
by Haycock, Philip C and Burgess, Stephen and Wade, Kaitlin H and Bowden, Jack and Relton, Caroline and Smith, George Davey
American Journal of Clinical Nutrition, ISSN 0002-9165, 04/2016, Volume 103, Issue 4, pp. 965 - 978
Mendelian randomization (MR) is an increasingly important tool for appraising causality in observational epidemiology. The technique exploits the principle... 
Confounding | Mendelian randomization | Causality | Observational epidemiology | Evidence synthesis | Reverse causation | C-REACTIVE PROTEIN | confounding | INSTRUMENTAL VARIABLES | CAUSAL INFERENCE | evidence synthesis | GENETIC-VARIANTS | reverse causation | VASCULAR-DISEASE | BLOOD-PRESSURE | causality | CONTROLLED-TRIALS | DENSITY-LIPOPROTEIN CHOLESTEROL | NUTRITION & DIETETICS | MEASUREMENT ERROR | observational epidemiology | CORONARY-HEART-DISEASE | Mendelian Randomization Analysis - methods | Reproducibility of Results | Genetic Association Studies | Interleukin-6 - genetics | Receptors, Interleukin-6 - genetics | Humans | Risk Factors | Databases, Genetic | Genotype | Coronary Artery Disease - diagnosis | Cost-Benefit Analysis | Coronary Artery Disease - genetics | Polymorphism, Single Nucleotide | Interleukin-6 - metabolism | Research Design | Receptors, Interleukin-6 - metabolism | Epidemiology | Analysis | Mendel's law
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7. Full Text Bayesian Mediation Analysis
by Yuan, Ying and MacKinnon, David P
Psychological Methods, ISSN 1082-989X, 12/2009, Volume 14, Issue 4, pp. 301 - 322
In this article, we propose Bayesian analysis of mediation effects. Compared with conventional frequentist mediation analysis, the Bayesian approach has... 
single-level mediation | multilevel mediation | Bayesian inference | credible interval | PSYCHOLOGY, MULTIDISCIPLINARY | MULTILEVEL MODELS | RECOMMENDATIONS | MODERATORS | MEDICAL STATISTICS | CONVERGENCE | Probability | Causal Models | Correlation | Bayesian Statistics | Models, Psychological | Psychology - methods | Confidence Intervals | Humans | Bayes Theorem | Psychology - statistics & numerical data | Bayesian statistical decision theory | Research | Psychoanalysis | Meta-analysis | Single-level mediation | Multilevel Mediation | Credible Interval
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8. Full Text Mediation: R package for causal mediation analysis
by Tingley, Dustin and Yamamoto, Teppei and Hirose, Kentaro and Keele, Luke and Imai, Kosuke
Journal of Statistical Software, ISSN 1548-7660, 08/2014, Volume 59, Issue 5, pp. 1 - 38
In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the... 
Causal mechanisms | Mediation, R | Mediation analysis | causal mechanisms | mediation analysis | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SENSITIVITY-ANALYSIS | STATISTICS & PROBABILITY | MECHANISMS | mediation | IDENTIFICATION
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9. Causal modeling
by Asher, Herbert B
1983, 2nd ed., Sage university papers series. Quantitative applications in the socialsciences, ISBN 0803906544, Volume 3., 96
statistical analysis | Social sciences | Statistical methods | Statistics
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10. Full Text A General Approach to Causal Mediation Analysis
by Imai, Kosuke and Keele, Luke and Tingley, Dustin
Psychological Methods, ISSN 1082-989X, 12/2010, Volume 15, Issue 4, pp. 309 - 334
Traditionally in the social sciences, causal mediation analysis has been formulated, understood, and implemented within the framework of linear structural... 
Causal inference | Direct and indirect effects | Sensitivity analysis | Causal mechanisms | Linear structural equation models | causal mechanisms | TRIALS | JOBS INTERVENTION | sensitivity analysis | BIAS | IDENTIFICATION | INFERENCE | MODERATED MEDIATION | PSYCHOLOGY, MULTIDISCIPLINARY | direct and indirect effects | linear structural equation models | MODELS | SENSITIVITY-ANALYSIS | VARIABLES | causal inference | PROPORTION | Intervention | Structural Equation Models | Nonparametric Statistics | Statistical Inference | Statistical Analysis | Social Sciences - methods | Data Interpretation, Statistical | Algorithms | Sensitivity and Specificity | Linear Models | Models, Statistical | Causality | Social psychology | Research | Structural equation modeling | Psychoanalysis | Mediation
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11. Full Text Causal mediation analysis
by Hicks, Raymond and Tingley, Dustin
Stata Journal, ISSN 1536-867X, 2011, Volume 11, Issue 4, pp. 605 - 619
Estimating the mechanisms that connect explanatory variables with the explained variable, also known as "mediation analysis," is central to a variety of... 
Medsens | Sensitivity analysis | Causal mechanism | Direct effects | St0243 | Medeff | Mediation | causal mechanism | st0243 | medsens | sensitivity analysis | medeff | STATISTICS & PROBABILITY | SOCIAL SCIENCES, MATHEMATICAL METHODS | mediation | MODEL | direct effects | Statistical methods | Algorithms | Research | Mathematical research
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12. Full Text Independent component analysis: Recent advances
by Hyvärinen, Aapo
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, ISSN 1364-503X, 02/2013, Volume 371, Issue 1984, p. 20110534
Independent component analysis is a probabilistic method for learning a linear transform of a random vector. The goal is to find components that are maximally... 
Blind source separation | Causal analysis | Non-Gaussianity | Independent component analysis | causal analysis | MAXIMUM-LIKELIHOOD | MULTIDISCIPLINARY SCIENCES | DECOMPOSITION | STATISTICAL-MODELS | ALGORITHMS | EMERGENCE | UNIQUENESS | independent component analysis | SUBJECT | MATRIX FACTORIZATION | blind source separation | non-Gaussianity | IDENTIFIABILITY | 1008 | 1006 | 146 | 1003 | Review | 175
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13. Full Text Attributable mortality of ventilator-associated pneumonia: A reappraisal using causal analysis
by Bekaert, Maarten and Timsit, Jean-Francois and Vansteelandt, Stijn and Depuydt, Pieter and Vésin, Aurélien and Garrouste-Orgeas, Maité and Decruyenaere, Johan and Clec'h, Christophe and Azoulay, Elie and Benoit, Dominique and Outcomerea Study Grp and Outcomerea Study Group
American Journal of Respiratory and Critical Care Medicine, ISSN 1073-449X, 11/2011, Volume 184, Issue 10, pp. 1133 - 1139
Rationale: Measuring the attributable mortality of ventilator-associated pneumonia (VAP) is challenging and prone to different forms of bias. Studies... 
Causal inference | Ventilator-associated pneumonia | Severity of illness | Attributable mortality | SURVIVAL | INFECTIONS | SCORE | MARGINAL STRUCTURAL MODELS | INTENSIVE-CARE UNITS | ILL | ventilator-associated pneumonia | COMPETING RISKS | SEPSIS | severity of illness | THERAPY | attributable mortality | RESPIRATORY SYSTEM | causal inference | NOSOCOMIAL PNEUMONIA | CRITICAL CARE MEDICINE | Severity of Illness Index | Pneumonia, Ventilator-Associated - mortality | Prospective Studies | Risk Assessment | Humans | Middle Aged | Risk Factors | Cross Infection - mortality | Proportional Hazards Models | Anti-Infective Agents - therapeutic use | Intensive Care Units - statistics & numerical data | Logistic Models | Male | Pneumonia, Ventilator-Associated - etiology | Pneumonia, Ventilator-Associated - microbiology | Survival Analysis | Female | Causality | Pneumonia, Ventilator-Associated - drug therapy | Intensive Care Units | Cross Infection | Pneumonia, Ventilator-Associated | Anti-Infective Agents | Life Sciences | Human health and pathology
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14. Full Text Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory
by Woodside, Arch G
Journal of Business Research, ISSN 0148-2963, 04/2013, Volume 66, Issue 4, pp. 463 - 472
This editorial suggests moving beyond relying on the dominant logic of multiple regression analysis (MRA) toward thinking and using algorithms in advancing and... 
Fuzzy set qualitative comparative analysis | Configuration | Multiple regression analysis | Consistency | Coverage | Algorithm | Predictive validity | Causal recipe | Fit validity | BUSINESS | Algorithms | Regression analysis
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15. Causal analysis
: assumptions, models, and data
by James, Lawrence R and Mulaik, Stanley A., 1935 and Brett, Jeanne M and American Psychological Association. Division of Industrial-Organizational Psychology
1982, Studying organizations : innovations in methodology, ISBN 0803918674, Volume 1, 176
Statistical methods | Organization | Research | Psychology | Causation
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16. Full Text ST Analysis of the Fetal Electrocardiogram in Intrapartum Fetal Monitoring: A Meta-Analysis
by Becker, Jeroen H and Bax, Leon and Amer-Wåhlin, Isis and Ojala, Kati and Vayssière, Christophe and Westerhuis, Michelle E. M H and Mol, Ben-Willem and Visser, Gerard H A and Maršál, Karel and Kwee, Anneke and Moons, Karel G M and Department of Obstetrics and Gynaecology (Lund) and EpiHealth: Epidemiology for Health and Lund University and Obstetrik och gynekologi, Lund and Lunds universitet
Obstetrics & Gynecology, ISSN 0029-7844, 01/2012, Volume 119, Issue 1, pp. 145 - 154
OBJECTIVE:To compare the effects of ST-waveform analysis in combination with cardiotocography with conventional cardiotocography for intrapartum fetal... 
RANDOMIZED-CONTROLLED-TRIAL | METAANALYSIS | FORM | CAUSAL | ECG | CARDIOTOCOGRAPHY | MODEL | CLINICAL-PRACTICE | LABOR | OBSTETRICS & GYNECOLOGY | Pregnancy | Cardiotocography | Humans | Electrocardiography | Female | Delivery, Obstetric - statistics & numerical data | Pregnancy Outcome | Randomized Controlled Trials as Topic | Clinical Medicine | Obstetrics, Gynecology and Reproductive Medicine | Reproduktionsmedicin och gynekologi | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap
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17. Full Text Causal Inference in Latent Class Analysis
by Lanza, Stephanie T and Coffman, Donna L and Xu, Shu
Structural Equation Modeling: A Multidisciplinary Journal, ISSN 1070-5511, 07/2013, Volume 20, Issue 3, pp. 361 - 383
The integration of modern methods for causal inference with latent class analysis (LCA) allows social, behavioral, and health researchers to address important... 
average causal effect | propensity scores | latent class analysis | causal inference | REGRESSION | PROPENSITY SCORE | HEAVY DRINKING | MISSING DATA | MULTIVARIATE | TRANSITION | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MODELS | EM ALGORITHM | SOCIAL SCIENCES, MATHEMATICAL METHODS | COLLEGE ENROLLMENT | OUTCOMES
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