Journal articles on the topic 'Structural causal models'
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Beckers, Sander. "Equivalent Causal Models." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (May 18, 2021): 6202–9. http://dx.doi.org/10.1609/aaai.v35i7.16771.
Full textVansteelandt, S., and E. Goetghebeur. "Causal inference with generalized structural mean models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65, no. 4 (October 28, 2003): 817–35. http://dx.doi.org/10.1046/j.1369-7412.2003.00417.x.
Full textHUBER, FRANZ. "STRUCTURAL EQUATIONS AND BEYOND." Review of Symbolic Logic 6, no. 4 (July 8, 2013): 709–32. http://dx.doi.org/10.1017/s175502031300018x.
Full textRobins, James M., Miguel Ángel Hernán, and Babette Brumback. "Marginal Structural Models and Causal Inference in Epidemiology." Epidemiology 11, no. 5 (September 2000): 550–60. http://dx.doi.org/10.1097/00001648-200009000-00011.
Full textRothenhäusler, Dominik, Jan Ernest, and Peter Bühlmann. "Causal inference in partially linear structural equation models." Annals of Statistics 46, no. 6A (December 2018): 2904–38. http://dx.doi.org/10.1214/17-aos1643.
Full textNeugebauer, Romain, and Mark van der Laan. "Nonparametric causal effects based on marginal structural models." Journal of Statistical Planning and Inference 137, no. 2 (February 2007): 419–34. http://dx.doi.org/10.1016/j.jspi.2005.12.008.
Full textZheng, Cheng, David C. Atkins, Xiao-Hua Zhou, and Isaac C. Rhew. "Causal Models for Mediation Analysis: An Introduction to Structural Mean Models." Multivariate Behavioral Research 50, no. 6 (November 2, 2015): 614–31. http://dx.doi.org/10.1080/00273171.2015.1070707.
Full textTalbot, Denis, Amanda M. Rossi, Simon L. Bacon, Juli Atherton, and Geneviève Lefebvre. "A graphical perspective of marginal structural models: An application for the estimation of the effect of physical activity on blood pressure." Statistical Methods in Medical Research 27, no. 8 (December 29, 2016): 2428–36. http://dx.doi.org/10.1177/0962280216680834.
Full textBazinas, Vassilios, and Bent Nielsen. "Causal Transmission in Reduced-Form Models." Econometrics 10, no. 2 (March 24, 2022): 14. http://dx.doi.org/10.3390/econometrics10020014.
Full textSteyer, Rolf. "Analyzing Individual and Average Causal Effects via Structural Equation Models." Methodology 1, no. 1 (January 2005): 39–54. http://dx.doi.org/10.1027/1614-1881.1.1.39.
Full textHolland, Paul W. "Causal Inference, Path Analysis, and Recursive Structural Equations Models." Sociological Methodology 18 (1988): 449. http://dx.doi.org/10.2307/271055.
Full textBikak, Marvi. "Structural causal models’ application in development of clinical trials." Southwest Respiratory and Critical Care Chronicles 7, no. 31 (November 3, 2019): 1–2. http://dx.doi.org/10.12746/swrccc.v7i31.587.
Full textBrodersen, Kay H., Fabian Gallusser, Jim Koehler, Nicolas Remy, and Steven L. Scott. "Inferring causal impact using Bayesian structural time-series models." Annals of Applied Statistics 9, no. 1 (March 2015): 247–74. http://dx.doi.org/10.1214/14-aoas788.
Full textHolland, Paul W. "CAUSAL INFERENCE, PATH ANALYSIS AND RECURSIVE STRUCTURAL EQUATIONS MODELS." ETS Research Report Series 1988, no. 1 (June 1988): i—50. http://dx.doi.org/10.1002/j.2330-8516.1988.tb00270.x.
Full textHalpern, Joseph Y., and Spencer Peters. "Reasoning about Causal Models with Infinitely Many Variables." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (June 28, 2022): 5668–75. http://dx.doi.org/10.1609/aaai.v36i5.20508.
Full textBauer, Daniel J. "Estimating Multilevel Linear Models as Structural Equation Models." Journal of Educational and Behavioral Statistics 28, no. 2 (June 2003): 135–67. http://dx.doi.org/10.3102/10769986028002135.
Full textBollen. "Evaluating Effect, Composite, and Causal Indicators in Structural Equation Models." MIS Quarterly 35, no. 2 (2011): 359. http://dx.doi.org/10.2307/23044047.
Full textTanaka, Shiro, M. Alan Brookhart, and Jason P. Fine. "G-estimation of structural nested mean models for competing risks data using pseudo-observations." Biostatistics 21, no. 4 (May 6, 2019): 860–75. http://dx.doi.org/10.1093/biostatistics/kxz015.
Full textMagrini, Alessandro. "Linear Markovian models for lag exposure assessment." Biometrical Letters 55, no. 2 (December 1, 2018): 179–95. http://dx.doi.org/10.2478/bile-2018-0012.
Full textHu, Yaowei, Yongkai Wu, Lu Zhang, and Xintao Wu. "A Generative Adversarial Framework for Bounding Confounded Causal Effects." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 13 (May 18, 2021): 12104–12. http://dx.doi.org/10.1609/aaai.v35i13.17437.
Full textMayer, Axel. "Causal Effects Based on Latent Variable Models." Methodology 15, Supplement 1 (October 1, 2019): 15–28. http://dx.doi.org/10.1027/1614-2241/a000174.
Full textLoeys, Tom, and Els Goetghebeur. "80 Structural failure time models for causal inference in clinical trials." Controlled Clinical Trials 18, no. 3 (June 1997): S91. http://dx.doi.org/10.1016/s0197-2456(97)91065-5.
Full textNeugebauer, Romain, Mark J. van der Laan, Marshall M. Joffe, and Ira B. Tager. "Causal inference in longitudinal studies with history-restricted marginal structural models." Electronic Journal of Statistics 1 (2007): 119–54. http://dx.doi.org/10.1214/07-ejs050.
Full textClarke, P. S., and F. Windmeijer. "Identification of causal effects on binary outcomes using structural mean models." Biostatistics 11, no. 4 (June 3, 2010): 756–70. http://dx.doi.org/10.1093/biostatistics/kxq024.
Full textRahmadi, Ridho, Perry Groot, Marieke HC van Rijn, Jan AJG van den Brand, Marianne Heins, Hans Knoop, and Tom Heskes. "Causality on longitudinal data: Stable specification search in constrained structural equation modeling." Statistical Methods in Medical Research 27, no. 12 (June 28, 2017): 3814–34. http://dx.doi.org/10.1177/0962280217713347.
Full textMagrini, Alessandro. "Distributed-lag Linear Structural Equation Models in R: the dlsem Package." Austrian Journal of Statistics 48, no. 2 (January 26, 2019): 14–42. http://dx.doi.org/10.17713/ajs.v48i2.777.
Full textBrick, Timothy R., and Drew H. Bailey. "Rock the MIC: The Matrix of Implied Causation, a Tool for Experimental Design and Model Checking." Advances in Methods and Practices in Psychological Science 3, no. 3 (June 25, 2020): 286–99. http://dx.doi.org/10.1177/2515245920922775.
Full textQiao, Jie, Ruichu Cai, Kun Zhang, Zhenjie Zhang, and Zhifeng Hao. "Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models." ACM Transactions on Intelligent Systems and Technology 12, no. 6 (December 31, 2021): 1–28. http://dx.doi.org/10.1145/3482879.
Full textDorfman, Leonid Ya, and Alexey Yu Kalugin. "A CAUSAL FOOTPRINT IN INDIVIDUAL-INTELLECTUAL INTEGRATIONS. PART 2. CAUSAL CHAINS AND LONGITUDINAL MEDIATOR MODELS." Вестник Пермского университета. Философия. Психология. Социология, no. 4 (2022): 597–608. http://dx.doi.org/10.17072/2078-7898/2022-4-597-608.
Full textCastillo, E., A. Cobo, J. M. Gutiérrez, A. Iglesias, and H. Sagástegui. "Causal Network Models in Expert Systems." Computer-Aided Civil and Infrastructure Engineering 9, no. 5 (September 1994): 315–28. http://dx.doi.org/10.1111/j.1467-8667.1994.tb00339.x.
Full textTank, A., E. B. Fox, and A. Shojaie. "Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series." Biometrika 106, no. 2 (April 8, 2019): 433–52. http://dx.doi.org/10.1093/biomet/asz007.
Full textKang, Jin-Su, Stephen Thomas Downing, Nabangshu Sinha, and Yi-Chieh Chen. "Advancing Causal Inference: Differences-in-Differences vs. Bayesian Structural Time Series Models." Academy of Management Proceedings 2021, no. 1 (August 2021): 15410. http://dx.doi.org/10.5465/ambpp.2021.15410abstract.
Full textHernán, Miguel A., Babette Brumback, and James M. Robins. "Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized Treatments." Journal of the American Statistical Association 96, no. 454 (June 2001): 440–48. http://dx.doi.org/10.1198/016214501753168154.
Full textPenny, W. D., K. E. Stephan, A. Mechelli, and K. J. Friston. "Modelling functional integration: a comparison of structural equation and dynamic causal models." NeuroImage 23 (January 2004): S264—S274. http://dx.doi.org/10.1016/j.neuroimage.2004.07.041.
Full textCohen, Patricia, Jacob Cohen, Jeanne Teresi, Margaret Marchi, and C. Noemi Velez. "Problems in the Measurement of Latent Variables in Structural Equations Causal Models." Applied Psychological Measurement 14, no. 2 (June 1990): 183–96. http://dx.doi.org/10.1177/014662169001400207.
Full textMatsouaka, Roland A., and Eric J. Tchetgen Tchetgen. "Instrumental variable estimation of causal odds ratios using structural nested mean models." Biostatistics 18, no. 3 (February 6, 2017): 465–76. http://dx.doi.org/10.1093/biostatistics/kxw059.
Full textLow, Hamish, and Costas Meghir. "The Use of Structural Models in Econometrics." Journal of Economic Perspectives 31, no. 2 (May 1, 2017): 33–58. http://dx.doi.org/10.1257/jep.31.2.33.
Full textHidalgo-Contreras, Juan Valente, Josafhat Salinas-Ruiz, Kent M. Eskridge, and Stephen P. Baenziger. "Incorporating Molecular Markers and Causal Structure among Traits Using a Smith-Hazel Index and Structural Equation Models." Agronomy 11, no. 10 (September 28, 2021): 1953. http://dx.doi.org/10.3390/agronomy11101953.
Full textHALPERN, JOSEPH Y. "APPROPRIATE CAUSAL MODELS AND THE STABILITY OF CAUSATION." Review of Symbolic Logic 9, no. 1 (January 7, 2016): 76–102. http://dx.doi.org/10.1017/s1755020315000246.
Full textDamonte, Alessia. "Modeling configurational explanations." Italian Political Science Review/Rivista Italiana di Scienza Politica 51, no. 2 (February 16, 2021): 182–97. http://dx.doi.org/10.1017/ipo.2021.2.
Full textStephenson, Victoria, Chris J. Oates, Andrew Finlayson, Chris Thomas, and Kevin J. Wilson. "Causal Graphical Models for Systems-Level Engineering Assessment." ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 7, no. 2 (June 2021): 04021011. http://dx.doi.org/10.1061/ajrua6.0001116.
Full textZhou, Xiang, and Geoffrey T. Wodtke. "Residual Balancing: A Method of Constructing Weights for Marginal Structural Models." Political Analysis 28, no. 4 (March 4, 2020): 487–506. http://dx.doi.org/10.1017/pan.2020.2.
Full textHéroux, Julie, Erica E. M. Moodie, Erin Strumpf, Natalie Coyle, Pierre Tousignant, and Mamadou Diop. "Marginal structural models for skewed outcomes: identifying causal relationships in health care utilization." Statistics in Medicine 33, no. 7 (October 24, 2013): 1205–21. http://dx.doi.org/10.1002/sim.6020.
Full textFei, Nina, Youlong Yang, and Xuying Bai. "One Core Task of Interpretability in Machine Learning — Expansion of Structural Equation Modeling." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 01 (June 6, 2019): 2051001. http://dx.doi.org/10.1142/s0218001420510015.
Full textYang, Hye-Won, and Sun-Geun Baek. "Causal Path Analysis of Teaching Competency based on the Structural Causal Model: Focusing on the Comparison across South Korea, England, and Finland using TALIS 2018 data." Korean Society for Educational Evaluation 35, no. 4 (December 31, 2022): 657–86. http://dx.doi.org/10.31158/jeev.2022.35.4.657.
Full textMohammadi, Yahya, Davoud Ali Saghi, Ali Reza Shahdadi, Guilherme Jordão de Magalhães Rosa, and Morteza Sattaei Mokhtari. "Inferring phenotypic causal structures among body weight traits via structural equation modeling in Kurdi sheep." Acta Scientiarum. Animal Sciences 42 (June 8, 2020): e48823. http://dx.doi.org/10.4025/actascianimsci.v42i1.48823.
Full textHayduk, Leslie. "Review essay on Rex B. Kline’s Principles and Practice of Structural Equation Modeling: Encouraging a fifth edition." Canadian Studies in Population 45, no. 3-4 (August 30, 2018): 154. http://dx.doi.org/10.25336/csp29397.
Full textTorres, Michelle. "Estimating controlled direct effects through marginal structural models." Political Science Research and Methods 8, no. 3 (February 13, 2020): 391–408. http://dx.doi.org/10.1017/psrm.2020.3.
Full textChernozhukov, Victor, Whitney K. Newey, and Rahul Singh. "Automatic Debiased Machine Learning of Causal and Structural Effects." Econometrica 90, no. 3 (2022): 967–1027. http://dx.doi.org/10.3982/ecta18515.
Full textChupin, Guerric, and Henrik Nilsson. "Modular Compilation for a Hybrid Non-Causal Modelling Language." Electronics 10, no. 7 (March 30, 2021): 814. http://dx.doi.org/10.3390/electronics10070814.
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