Applied Medical Statistics

APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, re...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Jiang, Jingmei
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Jiang, Jingmei
description APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.
doi_str_mv 10.1002/9781119716822
format Book
fullrecord <record><control><sourceid>proquest_askew</sourceid><recordid>TN_cdi_askewsholts_vlebooks_9781119716792</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6945269</sourcerecordid><originalsourceid>FETCH-LOGICAL-a12020-b7db82c50e2dca18f5ade591475ab9c665e8315379d31022f40a77ed26527b4e3</originalsourceid><addsrcrecordid>eNqNjz1PwzAURY0QCCgdWZi6IYaA33PsZ48lKh9SEQOINXJsR4RaJNQG_j4RrdSV6epI517pMnYG_Ao4x2tDGgAMgdKIe-xkC0S4vwMuD0cQUCoBpM0Rm6b0zse61FJqPGbn82GIXfCzx-A7Z-PsOdvcpdy5dMoOWhtTmG5zwl5vFy_VfbF8unuo5svCAnLkRUO-0egkD-idBd1K64M0UJK0jXFKyaAFSEHGC-CIbcktUfCoJFJTBjFhl5thm1bhJ731Maf6O4am71ep3v0kg_93SY_uxcYd1v3nV0i5_tNc-MhrG-vFTaVMKVEZ8QsILVvn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC6945269</pqid></control><display><type>book</type><title>Applied Medical Statistics</title><source>eBooks on EBSCOhost</source><creator>Jiang, Jingmei</creator><creatorcontrib>Jiang, Jingmei</creatorcontrib><description>APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.</description><edition>1</edition><identifier>ISBN: 1119716705</identifier><identifier>ISBN: 9781119716709</identifier><identifier>EISBN: 1119716772</identifier><identifier>EISBN: 9781119716778</identifier><identifier>EISBN: 1119716799</identifier><identifier>EISBN: 9781119716792</identifier><identifier>DOI: 10.1002/9781119716822</identifier><identifier>OCLC: 1314631789</identifier><language>eng</language><publisher>Newark: John Wiley &amp; Sons, Incorporated</publisher><subject>Biometry ; Medical statistics ; Medicine</subject><creationdate>2022</creationdate><tpages>585</tpages><format>585</format><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,776,780,782,27904</link.rule.ids></links><search><creatorcontrib>Jiang, Jingmei</creatorcontrib><title>Applied Medical Statistics</title><description>APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.</description><subject>Biometry</subject><subject>Medical statistics</subject><subject>Medicine</subject><isbn>1119716705</isbn><isbn>9781119716709</isbn><isbn>1119716772</isbn><isbn>9781119716778</isbn><isbn>1119716799</isbn><isbn>9781119716792</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2022</creationdate><recordtype>book</recordtype><sourceid/><recordid>eNqNjz1PwzAURY0QCCgdWZi6IYaA33PsZ48lKh9SEQOINXJsR4RaJNQG_j4RrdSV6epI517pMnYG_Ao4x2tDGgAMgdKIe-xkC0S4vwMuD0cQUCoBpM0Rm6b0zse61FJqPGbn82GIXfCzx-A7Z-PsOdvcpdy5dMoOWhtTmG5zwl5vFy_VfbF8unuo5svCAnLkRUO-0egkD-idBd1K64M0UJK0jXFKyaAFSEHGC-CIbcktUfCoJFJTBjFhl5thm1bhJ731Maf6O4am71ep3v0kg_93SY_uxcYd1v3nV0i5_tNc-MhrG-vFTaVMKVEZ8QsILVvn</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Jiang, Jingmei</creator><general>John Wiley &amp; Sons, Incorporated</general><general>Wiley-Blackwell</general><scope/></search><sort><creationdate>2022</creationdate><title>Applied Medical Statistics</title><author>Jiang, Jingmei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a12020-b7db82c50e2dca18f5ade591475ab9c665e8315379d31022f40a77ed26527b4e3</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biometry</topic><topic>Medical statistics</topic><topic>Medicine</topic><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Jingmei</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Jingmei</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Applied Medical Statistics</btitle><date>2022</date><risdate>2022</risdate><isbn>1119716705</isbn><isbn>9781119716709</isbn><eisbn>1119716772</eisbn><eisbn>9781119716778</eisbn><eisbn>1119716799</eisbn><eisbn>9781119716792</eisbn><abstract>APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.</abstract><cop>Newark</cop><pub>John Wiley &amp; Sons, Incorporated</pub><doi>10.1002/9781119716822</doi><oclcid>1314631789</oclcid><tpages>585</tpages><edition>1</edition></addata></record>
fulltext fulltext
identifier ISBN: 1119716705
ispartof
issn
language eng
recordid cdi_askewsholts_vlebooks_9781119716792
source eBooks on EBSCOhost
subjects Biometry
Medical statistics
Medicine
title Applied Medical Statistics
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T01%3A45%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_askew&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Applied%20Medical%20Statistics&rft.au=Jiang,%20Jingmei&rft.date=2022&rft.isbn=1119716705&rft.isbn_list=9781119716709&rft_id=info:doi/10.1002/9781119716822&rft_dat=%3Cproquest_askew%3EEBC6945269%3C/proquest_askew%3E%3Curl%3E%3C/url%3E&rft.eisbn=1119716772&rft.eisbn_list=9781119716778&rft.eisbn_list=1119716799&rft.eisbn_list=9781119716792&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC6945269&rft_id=info:pmid/&rfr_iscdi=true