"Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies"

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Book	Author(s)	Year	Publisher
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies	Mark J. van der Laan; Sherri Rose	1st ed. 2018	Springer International Publishing
Targeted Learning: Causal Inference for Observational and Experimental Data	Mark J. van der Laan; Sherri Rose	2011	Springer New York
Causal inference	Kenneth J. Rothman	1988	Epidemiology Resources
Causal Inference in Econometrics	Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta	2016	Springer
Causal Inference in Econometrics	Van-Nam Huynh; Vladik Kreinovich; Songsak Sriboonchitta	1st ed. 2016	Springer International Publishing
Elements of Causal Inference. Foundations and Learning Algorithms	Jonas Peters, Dominik Janzing, Bernhard Scholkopf	2017	The MIT Press
Case Studies and Causal Inference: An Integrative Framework	I. Rohlfing	2012	Palgrave Macmillan UK
Scientific Inference: Learning from Data	Simon Vaughan	2013-09	Cambridge University Press
Causal Inference: The Mixtape	Scott Cunningham	2021	Yale University Press
Causal Inference: The Mixtape	Scott Cunningham	2021	Yale University Press
Causal Inference: The Mixtape	Scott Cunningham	2021	Draft Version V. 1.8
Counterfactuals and Causal Inference	Stephen L. Morgan	2015	Cambridge University Press
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference	Momiao Xiong	2018	Routledge
Methods matter: improving causal inference in educational and social science research	Richard J. Murnane	2011	Oxford University Press
Artificial Intelligence and Causal Inference	Momiao Xiong	2022	Routledge
Hume's defence of causal inference /	Wilson, Fred,	[1997], ©1997.	University of Toronto Press,
Statistical Foundations, Reasoning and Inference: For Science and Data Science	Göran Kauermann; Helmut Küchenhoff; Christian Heumann	1st ed. 2021	Springer International Publishing
Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine	Bibhas Chakraborty; Erica E.M. Moodie	2013	Springer New York
Statistical Learning of Complex Data	Francesca Greselin; Laura Deldossi; Luca Bagnato; Maurizio Vichi	1st ed. 2019	Springer International Publishing
Causal Learning	David R. Shanks; Douglas L. Medin; Keith J. Holyoak	1996	Academic Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Causal Inference from Complex Longitudinal Data	James M. Robins	Latent Variable Modeling and Applications to Causality	Maia Berkane	1997	Springer New York
Causal Inference in Longitudinal Network-Dependent Data	Oleg Sofrygin; Mark J. van der Laan	Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies	Mark J. van der Laan; Sherri Rose	1st ed. 2018	Springer International Publishing
Deep Learning for Causal Inference	Momiao Xiong	Artificial Intelligence and Causal Inference	Momiao Xiong	2022	Routledge
Causal Inference for Observational Studies/Real-World Data	Bo Lu	Real-World Evidence in Drug Development and Evaluation	Harry Yang; Binbing Yu	2021	Routledge
Causal Inference in Observational Studies	Paul R. Rosenbaum	Replication and Evidence Factors in Observational Studies	Paul Rosenbaum	2021	Routledge
Causal Inference in Sociological Studies	Christopher Winship; Michael Sobel	Handbook of Data Analysis	Melissa A Hardy; Alan Bryman	July 2009	SAGE Publications Ltd
Causal Inference in Sociological Studies	Christopher Winship; Michael Sobel	Handbook of Data Analysis	Melissa A Hardy; Alan Bryman	May 2004	SAGE Publications Ltd
Learning with Heterogeneous Data for Longitudinal Studies	Letizia Squarcina; Cinzia Perlini; Marcella Bellani; Antonio Lasalvia; Mirella Ruggeri; Paolo Brambilla et al.	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III	Nassir Navab; Joachim Hornegger; William M. Wells; Alejandro Frangi	1st ed. 2015	Springer International Publishing
Causal learning and inference	Marc Buehner; Patricia W. Cheng	The Oxford handbook of thinking and reasoning	Keith James Holyoak; Robert G. Morrison Jr	2012	Oxford University Press
16 Longitudinal designs and models for causal inference		Handbook of Sociological Science. Contributions to Rigorous Sociology	Edited by Klarita Gërxhani, Professor of Sociology, Department of Political and Social Sciences, European University Institute (EUI), Italy, Nan Dirk de Graaf, Professor of Sociology and Official Fellow, Nuffield College, University of Oxford, UK and Werner Raub, Professor of Sociology, Department of Sociology/ICS, Utrecht University, the Netherlands	2022	Edward Elgar Publishing
19 - Causal Inference in Retrospective Studies	Paul W. Holland	Matched Sampling for Causal Effects	Donald B. Rubin	2006-09	Cambridge University Press
Enhancing causal inference in observational studies	Thomas B. Newman; Warren S. Browner; Stephen B. Hulley	Designing clinical research	Stephen B. Hulley; Stephen B Hulley; Steven R Cummings; Warren S. Browner; Deborah G Grady; Norman Hearst	2007	Lippincott Williams & Wilkins
Longitudinal Studies in Science Education	Hanna J. Arzi	Encyclopedia of Science Education	Richard Gunstone	2015	Springer Netherlands
Longitudinal Studies in Science Education	Hanna J. Arzi	Encyclopedia of Science Education	Richard Gunstone	0th ed. 2020	Springer Netherlands
Methods for Enhancing Causal Inference in Observational Studies	Kristin M. Sheffield; Taylor S. Riall	Success in Academic Surgery: Health Services Research	Justin B. Dimick; Caprice C. Greenberg	2014	Springer London
Methods for Enhancing Causal Inference in Observational Studies	Kyle H. Sheetz; Hari Nathan	Health Services Research	Justin B. Dimick; Carrie C. Lubitz	2nd ed. 2020	Springer International Publishing
Longitudinal Studies into Science Learning: Methodological Issues	Russell Tytler	Quality Research in Literacy and Science Education: International Perspectives and Gold Standards	Mack C. Shelley; Larry D. Yore; Brian B. Hand	2009	Springer Netherlands
Generalized causal inference: methods for single studies		Experimental and Quasi-Experimental Designs for Generalized Causal Inference	William R. Shadish, Thomas D. Cook, Donald T. Campbell	0	Houghton Mifflin Company
Generalized causal inference: methods for multiple studies		Experimental and Quasi-Experimental Designs for Generalized Causal Inference	William R. Shadish, Thomas D. Cook, Donald T. Campbell	0	Houghton Mifflin Company
Missing Data in Longitudinal Studies	Peter X.-K. Song	Correlated Data Analysis: Modeling, Analytics, and Applications	Peter X. -K. Song	2007	Springer New York
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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