Last edited by Vijora
Thursday, April 23, 2020 | History

6 edition of Making sense of data found in the catalog.

Making sense of data

a self-instruction manual on the interpretation of epidemiological data

by J. H. Abramson

  • 4 Want to read
  • 17 Currently reading

Published by Oxford University Press in New York .
Written in English

    Subjects:
  • Epidemiology -- Statistical methods,
  • Epidemiology -- Statistical methods -- Problems, exercises, etc,
  • Epidemiologic Methods -- programmed instruction

  • Edition Notes

    StatementJ.H. Abramson.
    ContributionsAbramson, J. H. 1924-
    Classifications
    LC ClassificationsRA652.4 .A27 1994
    The Physical Object
    Paginationxii, 404 p. ;
    Number of Pages404
    ID Numbers
    Open LibraryOL1425495M
    ISBN 100195089685, 0195089693
    LC Control Number93036497

    A Self-Instruction Manual on the Interpretation of Epidemiological Data. Third Edition. J. H. Abramson, J. H. Abramson, Z. H. Abramson, and Z. H. Abramson. This is a self-instructional manual on the interpretation and use of epidemiologic data that deals with the basic concepts and skills needed for appraising published reports or study findings. Making sense of data: a practical guide to exploratory data analysis and data mining. [Glenn J Myatt] -- Readers [of this book] are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal. Making Sense of the Social World is an engaging and innovative introduction to social research for students who need to understand methodologies and results, but who may never conduct the research themselves. It provides a balanced treatment of qualitative and quantitative methods, integrating substantive examples and research techniques, and is written in a less formal style than many 4/5(1).


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Making sense of data by J. H. Abramson Download PDF EPUB FB2

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Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining (Second Edition) Glenn J. Myatt, Wayne P. Johnson: Associated Software (Traceis ) Instructions Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and.

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Jun 30,  · A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects.

Based on the authors’ practical experience in implementing data analysis and data mining, the new edition. As well as making data easier to interpret, the techniques the book presents are valuable communication tools that will help the reader use information more effectively with others.

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Sep 06,  · Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools.

Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data. Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools.

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The book is aimed towards professionals in any discipline who are interested in making decisions from data in addition to understanding how data mining can be used.

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User-friendly and accessible, Making Sense of Qualitative Data is not intended as a comprehensive cookbook of methods.

It describes and illustrates a number of key, complementary approaches to qualitative data and offers practical advice on the many ways to analyze data, which the reader is encouraged to explore and enjoy.4/5(1). Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools.

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