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Data Analysis in Medicine and Health using R
Taschenbuch von Kamarul Imran Musa (u. a.)
Sprache: Englisch

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Beschreibung

In medicine and health, data are analysed to guide treatment plan, patients care as well as the control and prevention policies. However, in doing so, researchers in medicine and health often lack the understanding of data and statistical concepts and the skills in programming.

In medicine and health, data are analysed to guide treatment plan, patients care as well as the control and prevention policies. However, in doing so, researchers in medicine and health often lack the understanding of data and statistical concepts and the skills in programming.

Über den Autor

Kamarul Imran Musa is an associate professor and medical epidemiologist at the School of Medical Sciences, Universiti Sains Malaysia. He is a registered public health physician with the Malaysia National Specialist Registry and a Fellow of the American College of Epidemiology (FACE). He is also a core member of the Malaysia R User group and conducts regular workshops on data and statistical analysis at the national level.

Wan Nor Arifin is a senior lecturer at the Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia. His research is mainly in validating measurement tools and machine learning, especially for use in clinical and public health settings. He is also a core member of the Malaysia R User group. He uses the R statistical programming language on a daily basis and promotes its use in medical research.

Tengku Muhammad Hanis is a PhD student at the School of Medical Sciences, Universiti Sains Malaysia. He holds a master's degree in medical statistics. His interests lie in the application of medical statistics and machine learning in medicine. He has run several workshops on bibliometric analysis, systematic reviews, and meta-analysis. He is passionate about R and always excited about its potential in medical and health research.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2023
Fachbereich: Kommunikationswissenschaften
Genre: Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 294
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032284149
ISBN-10: 1032284145
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Musa, Kamarul Imran
Hanis, Tengku Muhammad
Mansor, Wan Nor Arifin Wan
Hersteller: Taylor & Francis Ltd
Maße: 156 x 234 x 21 mm
Von/Mit: Kamarul Imran Musa (u. a.)
Erscheinungsdatum: 12.09.2023
Gewicht: 0,476 kg
preigu-id: 127290348
Über den Autor

Kamarul Imran Musa is an associate professor and medical epidemiologist at the School of Medical Sciences, Universiti Sains Malaysia. He is a registered public health physician with the Malaysia National Specialist Registry and a Fellow of the American College of Epidemiology (FACE). He is also a core member of the Malaysia R User group and conducts regular workshops on data and statistical analysis at the national level.

Wan Nor Arifin is a senior lecturer at the Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia. His research is mainly in validating measurement tools and machine learning, especially for use in clinical and public health settings. He is also a core member of the Malaysia R User group. He uses the R statistical programming language on a daily basis and promotes its use in medical research.

Tengku Muhammad Hanis is a PhD student at the School of Medical Sciences, Universiti Sains Malaysia. He holds a master's degree in medical statistics. His interests lie in the application of medical statistics and machine learning in medicine. He has run several workshops on bibliometric analysis, systematic reviews, and meta-analysis. He is passionate about R and always excited about its potential in medical and health research.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2023
Fachbereich: Kommunikationswissenschaften
Genre: Medienwissenschaften
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 294
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032284149
ISBN-10: 1032284145
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Musa, Kamarul Imran
Hanis, Tengku Muhammad
Mansor, Wan Nor Arifin Wan
Hersteller: Taylor & Francis Ltd
Maße: 156 x 234 x 21 mm
Von/Mit: Kamarul Imran Musa (u. a.)
Erscheinungsdatum: 12.09.2023
Gewicht: 0,476 kg
preigu-id: 127290348
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