Causal inference

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"Causality is central to the understanding and use of data; without an understanding of cause and effect relationships, we cannot use data to answer important questions in medicine and many other fields"--OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

: .,

Collation

1 online resource.

Language

English

ISBN/ISSN

9780262373548

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Science
Causation.
Probabilities.
Inference.
Mathematical statistics.
Observation (Scientific method)

Specific Detail Info

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Statement of Responsibility

Paul R. Rosenbaum.

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