Foundations of Biostatistics

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Special Collection:e-book
Format: Book
Language:English
Published: Singapore : : Springer Singapore : Imprint: Springer,, 2018
Edition:1st ed. 2018.
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Online Access:https://doi.org/10.1007/978-981-10-8627-4
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id opac-EUL01-000979544
collection e-book
institution L_200
EUL01
spelling Islam, M. Ataharul. szerző aut http://id.loc.gov/vocabulary/relators/aut EUL10001008051 Y
Foundations of Biostatistics by M. Ataharul Islam, Abdullah Al-Shiha.
1st ed. 2018.
Singapore : Springer Singapore : Imprint: Springer, 2018
XXIII, 463 p. 65 illus., 6 illus. in color. online forrás
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
Chapter 1. Basic Concepts, Organizing and Displaying Data -- Chapter 2. Basic Summary Statistics -- Chapter 3. Basic Probability Concepts -- Chapter 4. Probability Distributions. Discrete -- Chapter 5. Probability Distributions: Continuous -- Chapter 6. Sampling Distribution -- Chapter 7. Estimation -- Chapter 8. Hypothesis Testing -- Chapter 9. Correlation and Regression -- Chapter 10. Analysis of Variance -- Chapter 11. Survival Analysis.
This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension. The use of biostatistics techniques has increased manifold in the recent past, due to their suitability for applications in a wide range of problems in various fields. This book helps learners grasp the materials in detail, equipping them to use biostatistics techniques independently and confidently. The book starts with a summary of background materials, followed by methods and techniques. As such, with only minimum guidance from teachers, this book can provide materials for self-learning of biostatistics techniques with a deeper level of understanding. The first two chapters focus on fundamental concepts, sources of data, data types, organization of data, and descriptive statistics, followed by the basic probability concepts, distributions and sampling distributions needed in order to combine descriptive statistics with inferential techniques. Estimation and tests of hypotheses are illustrated in two separate chapters. Important measures of association, linear regression, analysis of variance and logistic regression, and proportional hazards models are then presented systematically, ensuring that the book covers the topics most essential to students and users of biostatistics in connection with a wide range of applications in various fields. The book has been carefully structured, and the content is presented in a sequence covering the essential background in a highly systematic manner, supporting the learning process by presenting theory and applications that complement one another.
Nyomtatott kiadás: ISBN 9789811086267
Nyomtatott kiadás: ISBN 9789811086281
Nyomtatott kiadás: ISBN 9789811342035
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Statistics. EUL10000081563 Y
Statistical methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Biostatistics.
Statistics for Business, Management, Economics, Finance, Insurance.
elektronikus könyv
Al-Shiha, Abdullah. szerző aut http://id.loc.gov/vocabulary/relators/aut
SpringerLink (Online service) közreadó testület
Online változat https://doi.org/10.1007/978-981-10-8627-4
EUL01
language English
format Book
author Islam, M. Ataharul., szerző
spellingShingle Islam, M. Ataharul., szerző
Foundations of Biostatistics
Statistics.
Statistical methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Biostatistics.
Statistics for Business, Management, Economics, Finance, Insurance.
elektronikus könyv
author_facet Islam, M. Ataharul., szerző
Al-Shiha, Abdullah., szerző
SpringerLink (Online service)
author2 Al-Shiha, Abdullah., szerző
author_corporate SpringerLink (Online service)
author_sort Islam, M. Ataharul.
title Foundations of Biostatistics
title_short Foundations of Biostatistics
title_full Foundations of Biostatistics by M. Ataharul Islam, Abdullah Al-Shiha.
title_fullStr Foundations of Biostatistics by M. Ataharul Islam, Abdullah Al-Shiha.
title_full_unstemmed Foundations of Biostatistics by M. Ataharul Islam, Abdullah Al-Shiha.
title_auth Foundations of Biostatistics
title_sort foundations of biostatistics
publishDate 2018
publishDateSort 2018
physical XXIII, 463 p. 65 illus., 6 illus. in color. : online forrás
edition 1st ed. 2018.
isbn 978-981-10-8627-4
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276-280
callnumber-raw 979544
callnumber-search 979544
topic Statistics.
Statistical methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Biostatistics.
Statistics for Business, Management, Economics, Finance, Insurance.
elektronikus könyv
topic_facet Statistics.
Statistical methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Biostatistics.
Statistics for Business, Management, Economics, Finance, Insurance.
elektronikus könyv
Statistics.
Statistical methods.
Statistics for Life Sciences, Medicine, Health Sciences.
Biostatistics.
Statistics for Business, Management, Economics, Finance, Insurance.
url https://doi.org/10.1007/978-981-10-8627-4
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 519 - Probabilities & applied mathematics
dewey-full 519.5
dewey-sort 3519.5
dewey-raw 519.5
dewey-search 519.5
first_indexed 2022-02-02T06:57:34Z
last_indexed 2022-03-11T06:51:11Z
recordtype opac
publisher Singapore : : Springer Singapore : Imprint: Springer,
_version_ 1726981468517826560
score 13,332056
generalnotes This book offers a comprehensive guide to essential techniques and methods in biostatistics, addressing the underlying concepts to aid in comprehension. The use of biostatistics techniques has increased manifold in the recent past, due to their suitability for applications in a wide range of problems in various fields. This book helps learners grasp the materials in detail, equipping them to use biostatistics techniques independently and confidently. The book starts with a summary of background materials, followed by methods and techniques. As such, with only minimum guidance from teachers, this book can provide materials for self-learning of biostatistics techniques with a deeper level of understanding. The first two chapters focus on fundamental concepts, sources of data, data types, organization of data, and descriptive statistics, followed by the basic probability concepts, distributions and sampling distributions needed in order to combine descriptive statistics with inferential techniques. Estimation and tests of hypotheses are illustrated in two separate chapters. Important measures of association, linear regression, analysis of variance and logistic regression, and proportional hazards models are then presented systematically, ensuring that the book covers the topics most essential to students and users of biostatistics in connection with a wide range of applications in various fields. The book has been carefully structured, and the content is presented in a sequence covering the essential background in a highly systematic manner, supporting the learning process by presenting theory and applications that complement one another.