Design and analysis of experiments and observational studies using R (Record no. 7769)

MARC details
000 -LEADER
fixed length control field 02323nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241129111016.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241129b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367456856
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.57
Item number TAB
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Taback, Nathan
245 ## - TITLE STATEMENT
Title Design and analysis of experiments and observational studies using R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boca Raton
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 265 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 84.99
490 ## - SERIES STATEMENT
Series statement Chapman & Hall/CRC Texts in Statistical Science Series
500 ## - GENERAL NOTE
General note Table of content:<br/>1 Introduction 2 Mathematical Statistics: Simulation and Computation 3 Comparing Two Treatments 4 Power and Sample Size 5 Comparing More Than Two Treatments 6 Factorial Designs at Two Levels - 2k Designs 7 Causal Inference<br/>[https://www.routledge.com/Design-and-Analysis-of-Experiments-and-Observational-Studies-using-R/Taback/p/book/9780367456856]
520 ## - SUMMARY, ETC.
Summary, etc. Introduction to Design and Analysis of Scientific Studies 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.<br/><br/>Features:<br/><br/>Classical experimental design with an emphasis on computation using tidyverse packages in R.<br/>Applications of experimental design to clinical trials, A/B testing, and other modern examples.<br/>Discussion of the link between classical experimental design and causal inference.<br/>The role of randomization in experimental design and sampling in the big data era.<br/>Exercises with solutions.<br/>Instructor slides in RMarkdown, a new R package will be developed to be used with book, and a bookdown version of the book will be freely available. The proposed book will emphasize ethics, communication and decision making as part of design, data analysis, and statistical thinking.<br/><br/>(https://www.routledge.com/Design-and-Analysis-of-Experiments-and-Observational-Studies-using-R/Taback/p/book/9780367456856)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Experimental design
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Research statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques TB2632 19-11-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 11/29/2024 Technical Bureau India Pvt. Ltd. 6386.15   519.57 TAB 006657 11/29/2024 1 9824.84 11/29/2024 Book

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