Improving massive experiments with threshold blocking. - Wikidata - awgldk - TriplyDB

Improving massive experiments with threshold blocking.

Improving massive experiments with threshold blocking.

http://www.wikidata.org/entity/Q37086569

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Drawing causal inference from Big Data.

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Improving massive experiments with threshold blocking.

http://www.wikidata.org/entity/Q37086569

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on July 2016

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Improving massive experiments with threshold blocking.

@en

Improving massive experiments with threshold blocking.

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type

label

Improving massive experiments with threshold blocking.

@en

Improving massive experiments with threshold blocking.

@nl

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Improving massive experiments with threshold blocking.

@en

Improving massive experiments with threshold blocking.

@nl

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PNAS.1510504113

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Proceedings of the National Academy of Sciences of the United States of America

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Improving massive experiments with threshold blocking.

@en

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Jasjeet S Sekhon

http://www.w3.org/2001/XMLSchema#string

Michael J Higgins

http://www.w3.org/2001/XMLSchema#string

P2860

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Using regression models to analyze randomized trials: asymptotically valid hypothesis tests despite incorrectly specified models.

Optimal multivariate matching before randomization.

Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables.

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An Efficient Heuristic Procedure for Partitioning Graphs

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scholarly article

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10.1073/PNAS.1510504113

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27

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113

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2016-07-01T00:00:00Z

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27382151

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4941468

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