Targeted learning in data science : causal inference for complex longitudinal studies /: causal inference for complex longitudinal studies. (2018)

• Record Type: Book
• Further Information: Note: Mark J. van der Laan, Sherri Rose.
• Authors: Laan, M. J. van der; Rose, Sherri
• Contents: Abbreviations and Notation -- Philosophy of Targeted Learning in Data Science -- Part I: Introductory Chapters.- 1. The Statistical Estimation Problem in Complex Longitudinal Big Data.- 2. Longitudinal Causal Models.- 3. Super Learner for Longitudinal Problems.- 4. Longitudinal Targeted Maximum Likelihood Estimation (LTMLE).- 5. Understanding LTMLE.- 6. Why LTMLE?.- Part II:Additional Core Topics.- 7. One-Step TMLE.- IV: Observational Longitudinal Data.- 19. Super Learning in the ICU.- 20. Stochastic Single-Time-Point Interventions.- 21. Stochastic Multiple-Time-Point Interventions on Monitoring and Treatment.- 22. Collaborative LTMLE.- Part V: Optimal Dynamic Regimes.- 23. Targeted Adaptive Designs Learning the Optimal Dynamic Treatment.- 24. Targeted Learning of the Optimal Dynamic Treatment.- 25. Optimal Dynamic Treatments under Resource Constraints.- Part VI: Computing.- 26. ltmle() for R.- 27. Scaled Super Learner for R.- 28. Scaling CTMLE for Julia.- Part VII: Special Topics.-29. Data-Adaptive Target Parameters.- 30. Double Robust Inference for LTMLE.- 31. Higher-Order TMLE.- Appendix.- A. Online Targeted Learning Theory.- B. Computerization of the calculation of efficient influence curve.- C. TMLE applied to Capture/Recapture.- D. TMLE for High Dimensional Linear Regression.- E. TMLE of Causal Effect Based on Observing a Single Time Series.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xlii, 640 pages), illustrations
• Subjects: 006.3/1; Statistics; Machine learning; Mathematical statistics; Machine learning; Mathematical statistics; Business & Economics -- Industries -- Computer Industry; Medical -- Biostatistics; Science -- Life Sciences -- General; Medical -- Allied Health Services -- Medical Technology; Medical -- Public Health; Business mathematics & systems; Probability & statistics; Life sciences: general issues; Biomedical engineering; Public health & preventive medicine; Big data; Statistical methods; Biomedical engineering; Mathematics -- Probability & Statistics -- General; Electronic books
• Languages: English
• ISBNs: 9783319653044; 3319653040
• Related ISBNs: 9783319653037; 3319653032
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed April 4, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.