Introduction to design and analysis of scientific studies / Nathan Taback.
By: Taback, Nathan [author.]
Series: Chapman & Hall/CRC texts in statistical sciencePublisher: Boca Raton : CRC Press, 2022Edition: First editionDescription: pages cmISBN: 9780367456856; 9781032219844Subject(s): Experimental design | Research -- Statistical methodsAdditional physical formats: Online version:: Introduction to design and analysis of scientific studiesDDC classification: E 519.57 T112 2022 LOC classification: QA279 | .T283 2022Online resources: Click here to access online Summary: "This book exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected"-- Provided by publisher.| Item type | Current location | Home library | Collection | Call number | Status | Date due | Barcode | Item holds |
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eBook
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Sibalom | Sibalom MEB | E-Book | E 519.57 T112 2022 (Browse shelf) | Available | EBOOK 01122 |
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Includes bibliographical references and index.
"This book exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected"-- Provided by publisher.
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