Targeted Learning (Record no. 106122)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04984nam a22004695i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-1-4419-9782-1 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20140220083730.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 110616s2011 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781441997821 |
| -- | 978-1-4419-9782-1 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4419-9782-1 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA276-280 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | PBT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | MAT029000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | van der Laan, Mark J. |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Targeted Learning |
| Medium | [electronic resource] : |
| Remainder of title | Causal Inference for Observational and Experimental Data / |
| Statement of responsibility, etc | by Mark J. van der Laan, Sherri Rose. |
| 264 #1 - | |
| -- | New York, NY : |
| -- | Springer New York, |
| -- | 2011. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | LXXII, 628 p. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Series in Statistics, |
| International Standard Serial Number | 0172-7397 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Models, Inference, and Truth -- The Open Problem -- Defining the Model and Parameter -- Super Learning -- Introduction to TMLE -- Understanding TMLE -- Why TMLE? -- Bounded Continuous Outcomes -- Direct Effects and Effect Among the Treated -- Marginal Structural Models -- Positivity -- Robust Analysis of RCTs Using Generalized Linear Models -- Targeted ANCOVA Estimator in RCTs -- Independent Case-Control Studies -- Why Match? Matched Case-Control Studies -- Nested Case-Control Risk Score Prediction -- Super Learning for Right-Censored Data -- RCTs with Time-to-Event Outcomes -- RCTs with Time-to-Event Outcomes and Effect Modification Parameters -- C-TMLE of an Additive Point Treatment Effect -- C-TMLE for Time-to-Event Outcomes -- Propensity-Score-Based Estimators and C-TMLE -- Targeted Methods for Biomarker Discovery -- Finding Quantitative Trait Loci Genes -- Case Study: Longitudinal HIV Cohort Data -- Probability of Success of an In Vitro Fertilization Program -- Individualized Antiretroviral Initiation Rules -- Cross-Validated Targeted Minimum-Loss-Based Estimation -- Targeted Bayesian Learning -- TMLE in Adaptive Group Sequential Covariate Adjusted RCTs -- Foundations of TMLE -- Introduction to R Code Implementation. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at both statisticians and applied researchers interested in causal inference and general effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihood estimator, including related concepts necessary to understand and apply these methods. Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies. "Targeted Learning, by Mark J. van der Laan and Sherri Rose, fills a much needed gap in statistical and causal inference. It protects us from wasting computational, analytical, and data resources on irrelevant aspects of a problem and teaches us how to focus on what is relevant – answering questions that researchers truly care about." -Judea Pearl, Computer Science Department, University of California, Los Angeles "In summary, this book should be on the shelf of every investigator who conducts observational research and randomized controlled trials. The concepts and methodology are foundational for causal inference and at the same time stay true to what the data at hand can say about the questions that motivate their collection." -Ira B. Tager, Division of Epidemiology, University of California, Berkeley |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematical statistics. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Statistics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Statistical Theory and Methods. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Public Health/Gesundheitswesen. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Statistics for Life Sciences, Medicine, Health Sciences. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rose, Sherri. |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9781441997814 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Springer Series in Statistics, |
| -- | 0172-7397 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4419-9782-1 |
| 912 ## - | |
| -- | ZDB-2-SMA |
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