Data analysis in medicine and health using R:
Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to th...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Taylor & Francis
2023
|
| Schriftenreihe: | Analytics and AI for Healthcare
|
| Schlagworte: | |
| Online-Zugang: | FUBA2 |
| Zusammenfassung: | Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary.This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, widely used by statisticians. The book takes a gentle approach to help readers navigate data and statistical analysis using R, minimizing the learning curve. RStudio is used as the integrated development environment (IDE) for enhanced productivity for readers to run their R codes.Following a logical sequence commonly applied in medical and health research, the book covers fundamental concepts of data analysis and statistical modeling techniques. It provides readers, including those with limited statistical knowledge and programming skills, with hands-on experience through R programming.The online version of this book is available on bookdown.org, a publishing platform provided by RStudio, PBC specifically designed to host books written using the "bookdown" package in R. Additionally, all R codes and datasets in this book can be found on the author's GitHub repository |
| Beschreibung: | 1. R, RStudio and RStudio Cloud 2. R Scripts and R Packages 3. RStudio Project 4. Data Visualization 5. Data Wrangling 6. Exploratory Data Analysis 7. Linear Regression 8. Binary Logistic Regression 9. Multinomial Logistic Regression 10. Poisson Regression 11. Survival Analysis: Kaplan–Meier and Cox Proportional Hazard (PH) Regression 12. Parametric Survival Analysis 13. Introduction to Missing Data Analysis 14. Model Building and Variable Selection |
| Beschreibung: | 1 Online-Ressource (310 Seiten) |
| ISBN: | 9781000957303 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV049382944 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 231025s2023 |||| o||u| ||||||eng d | ||
| 020 | |a 9781000957303 |c eBook |9 9781000957303 | ||
| 035 | |a (OCoLC)1409132679 | ||
| 035 | |a (DE-599)BVBBV049382944 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-578 | ||
| 084 | |a ST 640 |0 (DE-625)143686: |2 rvk | ||
| 100 | 1 | |a Musa, Kamarul Imran |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data analysis in medicine and health using R |c Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis |
| 264 | 1 | |b Taylor & Francis |c 2023 | |
| 300 | |a 1 Online-Ressource (310 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Analytics and AI for Healthcare | |
| 500 | |a 1. R, RStudio and RStudio Cloud 2. R Scripts and R Packages 3. RStudio Project 4. Data Visualization 5. Data Wrangling 6. Exploratory Data Analysis 7. Linear Regression 8. Binary Logistic Regression 9. Multinomial Logistic Regression 10. Poisson Regression 11. Survival Analysis: Kaplan–Meier and Cox Proportional Hazard (PH) Regression 12. Parametric Survival Analysis 13. Introduction to Missing Data Analysis 14. Model Building and Variable Selection | ||
| 520 | |a Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary.This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, widely used by statisticians. The book takes a gentle approach to help readers navigate data and statistical analysis using R, minimizing the learning curve. RStudio is used as the integrated development environment (IDE) for enhanced productivity for readers to run their R codes.Following a logical sequence commonly applied in medical and health research, the book covers fundamental concepts of data analysis and statistical modeling techniques. It provides readers, including those with limited statistical knowledge and programming skills, with hands-on experience through R programming.The online version of this book is available on bookdown.org, a publishing platform provided by RStudio, PBC specifically designed to host books written using the "bookdown" package in R. Additionally, all R codes and datasets in this book can be found on the author's GitHub repository | ||
| 650 | 4 | |a bicssc / Computer science | |
| 650 | 4 | |a bicssc / Economics | |
| 650 | 4 | |a bicssc / Public ownership / nationalization | |
| 650 | 4 | |a bicssc / Health systems & services | |
| 650 | 4 | |a bicssc / Probability & statistics | |
| 650 | 4 | |a bicssc / Research methods - general | |
| 650 | 4 | |a bicssc / Databases | |
| 650 | 4 | |a bisacsh / COMPUTERS / Data Science / General | |
| 650 | 4 | |a bisacsh / COMPUTERS / Data Science / Data Modeling & Design | |
| 650 | 4 | |a bisacsh / COMPUTERS / Data Science / Machine Learning | |
| 650 | 4 | |a bisacsh / COMPUTERS / Programming / Games | |
| 650 | 0 | 7 | |a Medizin |0 (DE-588)4038243-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Gesundheitswesen |0 (DE-588)4020775-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 2 | |a Medizin |0 (DE-588)4038243-6 |D s |
| 689 | 0 | 3 | |a Gesundheitswesen |0 (DE-588)4020775-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Mansor, Wan Nor Arifin Wan |e Sonstige |4 oth | |
| 700 | 1 | |a Hanis, Tengku Muhammad |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-03-228414-9 |
| 912 | |a ZDB-4-NLEBK | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034710534 | ||
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3641221 |l FUBA2 |p ZDB-4-NLEBK |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804186086297042944 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Musa, Kamarul Imran |
| author_facet | Musa, Kamarul Imran |
| author_role | aut |
| author_sort | Musa, Kamarul Imran |
| author_variant | k i m ki kim |
| building | Verbundindex |
| bvnumber | BV049382944 |
| classification_rvk | ST 640 |
| collection | ZDB-4-NLEBK |
| ctrlnum | (OCoLC)1409132679 (DE-599)BVBBV049382944 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04375nmm a2200601 c 4500</leader><controlfield tag="001">BV049382944</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231025s2023 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000957303</subfield><subfield code="c">eBook</subfield><subfield code="9">9781000957303</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1409132679</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049382944</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-578</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 640</subfield><subfield code="0">(DE-625)143686:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Musa, Kamarul Imran</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data analysis in medicine and health using R</subfield><subfield code="c">Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">Taylor & Francis</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (310 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Analytics and AI for Healthcare</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">1. R, RStudio and RStudio Cloud 2. R Scripts and R Packages 3. RStudio Project 4. Data Visualization 5. Data Wrangling 6. Exploratory Data Analysis 7. Linear Regression 8. Binary Logistic Regression 9. Multinomial Logistic Regression 10. Poisson Regression 11. Survival Analysis: Kaplan–Meier and Cox Proportional Hazard (PH) Regression 12. Parametric Survival Analysis 13. Introduction to Missing Data Analysis 14. Model Building and Variable Selection</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary.This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, widely used by statisticians. The book takes a gentle approach to help readers navigate data and statistical analysis using R, minimizing the learning curve. RStudio is used as the integrated development environment (IDE) for enhanced productivity for readers to run their R codes.Following a logical sequence commonly applied in medical and health research, the book covers fundamental concepts of data analysis and statistical modeling techniques. It provides readers, including those with limited statistical knowledge and programming skills, with hands-on experience through R programming.The online version of this book is available on bookdown.org, a publishing platform provided by RStudio, PBC specifically designed to host books written using the "bookdown" package in R. Additionally, all R codes and datasets in this book can be found on the author's GitHub repository</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Economics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Public ownership / nationalization</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Health systems & services</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Probability & statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Research methods - general</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bicssc / Databases</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / COMPUTERS / Data Science / General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / COMPUTERS / Data Science / Data Modeling & Design</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / COMPUTERS / Data Science / Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bisacsh / COMPUTERS / Programming / Games</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Medizin</subfield><subfield code="0">(DE-588)4038243-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gesundheitswesen</subfield><subfield code="0">(DE-588)4020775-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Medizin</subfield><subfield code="0">(DE-588)4038243-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Gesundheitswesen</subfield><subfield code="0">(DE-588)4020775-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mansor, Wan Nor Arifin Wan</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hanis, Tengku Muhammad</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-03-228414-9</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-NLEBK</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034710534</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3641221</subfield><subfield code="l">FUBA2</subfield><subfield code="p">ZDB-4-NLEBK</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049382944 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:59:31Z |
| indexdate | 2024-07-10T10:05:32Z |
| institution | BVB |
| isbn | 9781000957303 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034710534 |
| oclc_num | 1409132679 |
| open_access_boolean | |
| owner | DE-578 |
| owner_facet | DE-578 |
| physical | 1 Online-Ressource (310 Seiten) |
| psigel | ZDB-4-NLEBK |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Taylor & Francis |
| record_format | marc |
| series2 | Analytics and AI for Healthcare |
| spelling | Musa, Kamarul Imran Verfasser aut Data analysis in medicine and health using R Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis Taylor & Francis 2023 1 Online-Ressource (310 Seiten) txt rdacontent c rdamedia cr rdacarrier Analytics and AI for Healthcare 1. R, RStudio and RStudio Cloud 2. R Scripts and R Packages 3. RStudio Project 4. Data Visualization 5. Data Wrangling 6. Exploratory Data Analysis 7. Linear Regression 8. Binary Logistic Regression 9. Multinomial Logistic Regression 10. Poisson Regression 11. Survival Analysis: Kaplan–Meier and Cox Proportional Hazard (PH) Regression 12. Parametric Survival Analysis 13. Introduction to Missing Data Analysis 14. Model Building and Variable Selection Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the increasing complexity of data. Reproducible analyses and cutting-edge statistical methods are becoming increasingly necessary.This book, which is both comprehensive and highly practical, addresses these challenges by laying a solid foundation of data and statistical theory for readers. Subsequently, it equips them with practical skills to conduct analyses using the powerful R programming language, widely used by statisticians. The book takes a gentle approach to help readers navigate data and statistical analysis using R, minimizing the learning curve. RStudio is used as the integrated development environment (IDE) for enhanced productivity for readers to run their R codes.Following a logical sequence commonly applied in medical and health research, the book covers fundamental concepts of data analysis and statistical modeling techniques. It provides readers, including those with limited statistical knowledge and programming skills, with hands-on experience through R programming.The online version of this book is available on bookdown.org, a publishing platform provided by RStudio, PBC specifically designed to host books written using the "bookdown" package in R. Additionally, all R codes and datasets in this book can be found on the author's GitHub repository bicssc / Computer science bicssc / Economics bicssc / Public ownership / nationalization bicssc / Health systems & services bicssc / Probability & statistics bicssc / Research methods - general bicssc / Databases bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Data Science / Data Modeling & Design bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / COMPUTERS / Programming / Games Medizin (DE-588)4038243-6 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Datenanalyse (DE-588)4123037-1 s Medizin (DE-588)4038243-6 s Gesundheitswesen (DE-588)4020775-4 s DE-604 Mansor, Wan Nor Arifin Wan Sonstige oth Hanis, Tengku Muhammad Sonstige oth Erscheint auch als Druck-Ausgabe 978-1-03-228414-9 |
| spellingShingle | Musa, Kamarul Imran Data analysis in medicine and health using R bicssc / Computer science bicssc / Economics bicssc / Public ownership / nationalization bicssc / Health systems & services bicssc / Probability & statistics bicssc / Research methods - general bicssc / Databases bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Data Science / Data Modeling & Design bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / COMPUTERS / Programming / Games Medizin (DE-588)4038243-6 gnd Gesundheitswesen (DE-588)4020775-4 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4038243-6 (DE-588)4020775-4 (DE-588)4123037-1 (DE-588)4705956-4 |
| title | Data analysis in medicine and health using R |
| title_auth | Data analysis in medicine and health using R |
| title_exact_search | Data analysis in medicine and health using R |
| title_exact_search_txtP | Data analysis in medicine and health using R |
| title_full | Data analysis in medicine and health using R Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis |
| title_fullStr | Data analysis in medicine and health using R Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis |
| title_full_unstemmed | Data analysis in medicine and health using R Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis |
| title_short | Data analysis in medicine and health using R |
| title_sort | data analysis in medicine and health using r |
| topic | bicssc / Computer science bicssc / Economics bicssc / Public ownership / nationalization bicssc / Health systems & services bicssc / Probability & statistics bicssc / Research methods - general bicssc / Databases bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Data Science / Data Modeling & Design bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / COMPUTERS / Programming / Games Medizin (DE-588)4038243-6 gnd Gesundheitswesen (DE-588)4020775-4 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | bicssc / Computer science bicssc / Economics bicssc / Public ownership / nationalization bicssc / Health systems & services bicssc / Probability & statistics bicssc / Research methods - general bicssc / Databases bisacsh / COMPUTERS / Data Science / General bisacsh / COMPUTERS / Data Science / Data Modeling & Design bisacsh / COMPUTERS / Data Science / Machine Learning bisacsh / COMPUTERS / Programming / Games Medizin Gesundheitswesen Datenanalyse R Programm |
| work_keys_str_mv | AT musakamarulimran dataanalysisinmedicineandhealthusingr AT mansorwannorarifinwan dataanalysisinmedicineandhealthusingr AT hanistengkumuhammad dataanalysisinmedicineandhealthusingr |