Kniha Targeted Learning Mark Van der Laan

Targeted Learning

Causal Inference for Observational and Experimental Data

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
4 138
The statistics profession is at a unique point in history. The need for valid statistical tools is g...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2011
Stránek
628
EAN
9781441997814
ISBN
1441997814
Enbook ID
01424609
Hmotnost
1208
Rozměry
241 x 167 x 43

Kompletní popis

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 continuous outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.

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