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Does the Estimation of the Propensity Score by Machine Learning Improve Matching Estimation?
Language: en
Pages:
Authors: Daniel Goller
Categories:
Type: BOOK - Published: 2019 - Publisher:

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Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learnin
Secondary Analysis of Electronic Health Records
Language: en
Pages: 435
Authors: MIT Critical Data
Categories: Medical
Type: BOOK - Published: 2016-09-09 - Publisher: Springer

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This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates
Propensity Score Analysis
Language: en
Pages: 449
Authors: Shenyang Guo
Categories: Business & Economics
Type: BOOK - Published: 2015 - Publisher: SAGE

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Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be
Nonlinear Estimation and Classification
Language: en
Pages: 465
Authors: David D. Denison
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

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Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to rec
Propensity Score Analysis
Language: en
Pages: 417
Authors: Wei Pan
Categories: Psychology
Type: BOOK - Published: 2015-04-07 - Publisher: Guilford Publications

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This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on c