Statistical approaches for epidemiology: from concept to application
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2024]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xxix, 429 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031417832 |
Internformat
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Datensatz im Suchindex
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| adam_text |
Contents 1 Descriptive and Analytical Epidemiology. Kiran Sapkota 2 Cross-Sectional Study: The Role of Observation in Epidemiological Studies. Jean H. Kim 1 19 3 Case-Control Study. Noraini Abdul Ghafar 43 4 Cohort Studies. Deepa Valvi and Steven Browning 57 5 Epidemiological Measures. Praphul Joshi 77 6 Clinical Trials. Michael Bennish and Wasif Ali Khan 91 7 Screening. Amal K. Mitra 115 8 Surveillance: The Role of Observation in Epidemiological Studies. Adetoun F. Asala 129 9 Standardization. Anwar T. Merchant 147 10 Causal Association. Amal K. Mitra 155 11 Bias, Confounding, and Effect Modifier. Dipak Kumar Mitra and Abdullah H. Baqui 169 ix
Contents X 12 Epidemie Investigation and Control. Rajat Das Gupta and Sanjoy Kumar Sadhukhan 183 13 Population Projection. Mohammad Mainul Islam and Amal K. Mitra 203 14 Geospatial Applications in Epidemiology: Location, Location, Location. Stephen Scroggins 217 235 15 Survival Analysis and Applications Using SAS and SPSS. Rafiqul Chowdhury and Shahariar Huda 16 Systematic Review and Meta-Analysis: Evidence-Based Decision-Making in Public Health. 257 Aliyar Cyrus Fouladkhah and Minoo Bagheri 17 Sample Size Estimation. Amal K. Mitra 275 18 Missing Data Imputation: A Practical Guide. Enayetur Raheem 293 19 Artificial Intelligence and Machine Learning. Hamidreza Moradi 317 20 A Step-by-Step Guide to Data Analysis Using SPSS: Iron Study Data. Amal K. Mitra 21 343 Data Analysis Using SPSS: Jackson Heart Study. Clifton C. Addison and Brenda W. Campbell Jenkins 22 Multiple Linear Regression and Logistic Regression Analysis Using SAS. Azad R. Bhuiyan and Lei Zhang 363 381 Epidemiology
of the COVID-19 Pandemic: An Update. Amal K. Mitra 411 Index. 427 23
Amal К. Mitra Editor Statistical Approaches for Epidemiology From Concept to Application This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistical tools in real-life situations. Students, in general, struggle with statistical theories and their practical applications. This book makes statistical concepts easy to understand by focusing on real-life examples, case studies, and exercises. It also provides step-by-step guides for data analysis and interpretation using standard statistical software such as SPSS, SAS, R, Python, and GIS as appropriate, illustrating the concepts. Through the book's 23 chapters, readers primarily learn how to apply statistical methods in epidemiological studies and problem-solving. Among the topics covered: » Clinical Trials • Epidemic Investigation and Control • Geospatial Applications in Epidemiology • Survival Analysis and Applications Using • Systematic Review and Meta-Analysis: Public Health . SAS and SPSS Evidence-based Decision-Making in / • Missing Data Imputation: A Practical Guide • Artificial Intelligence and Machine Learning • Multivariate Linear Regression and Logistics Regression Analysis Using SAS Each chapter is written by eminent scientists and experts worldwide, including contributors from institutions in the United States, Canada, Bangladesh, India, Hong Kong, Malaysia, and the Middle East. Statistical Approaches for Epidemiology: From Concept to Application is an all-inone book that serves as an essential text for graduate students, faculty, instructors, and
researchers in public health and other branches of health sciences, as well as a useful resource for health researchers in industry, public health and health department professionals, health practitioners, and health research organizations and non-governmental organizations. The book also will be helpful for graduate students and faculty in related disciplines such as data science, nursing, social work, environmental health, occupational health, computer science, statistics, and biology. |
| adam_txt |
Contents 1 Descriptive and Analytical Epidemiology. Kiran Sapkota 2 Cross-Sectional Study: The Role of Observation in Epidemiological Studies. Jean H. Kim 1 19 3 Case-Control Study. Noraini Abdul Ghafar 43 4 Cohort Studies. Deepa Valvi and Steven Browning 57 5 Epidemiological Measures. Praphul Joshi 77 6 Clinical Trials. Michael Bennish and Wasif Ali Khan 91 7 Screening. Amal K. Mitra 115 8 Surveillance: The Role of Observation in Epidemiological Studies. Adetoun F. Asala 129 9 Standardization. Anwar T. Merchant 147 10 Causal Association. Amal K. Mitra 155 11 Bias, Confounding, and Effect Modifier. Dipak Kumar Mitra and Abdullah H. Baqui 169 ix
Contents X 12 Epidemie Investigation and Control. Rajat Das Gupta and Sanjoy Kumar Sadhukhan 183 13 Population Projection. Mohammad Mainul Islam and Amal K. Mitra 203 14 Geospatial Applications in Epidemiology: Location, Location, Location. Stephen Scroggins 217 235 15 Survival Analysis and Applications Using SAS and SPSS. Rafiqul Chowdhury and Shahariar Huda 16 Systematic Review and Meta-Analysis: Evidence-Based Decision-Making in Public Health. 257 Aliyar Cyrus Fouladkhah and Minoo Bagheri 17 Sample Size Estimation. Amal K. Mitra 275 18 Missing Data Imputation: A Practical Guide. Enayetur Raheem 293 19 Artificial Intelligence and Machine Learning. Hamidreza Moradi 317 20 A Step-by-Step Guide to Data Analysis Using SPSS: Iron Study Data. Amal K. Mitra 21 343 Data Analysis Using SPSS: Jackson Heart Study. Clifton C. Addison and Brenda W. Campbell Jenkins 22 Multiple Linear Regression and Logistic Regression Analysis Using SAS. Azad R. Bhuiyan and Lei Zhang 363 381 Epidemiology
of the COVID-19 Pandemic: An Update. Amal K. Mitra 411 Index. 427 23
Amal К. Mitra Editor Statistical Approaches for Epidemiology From Concept to Application This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistical tools in real-life situations. Students, in general, struggle with statistical theories and their practical applications. This book makes statistical concepts easy to understand by focusing on real-life examples, case studies, and exercises. It also provides step-by-step guides for data analysis and interpretation using standard statistical software such as SPSS, SAS, R, Python, and GIS as appropriate, illustrating the concepts. Through the book's 23 chapters, readers primarily learn how to apply statistical methods in epidemiological studies and problem-solving. Among the topics covered: » Clinical Trials • Epidemic Investigation and Control • Geospatial Applications in Epidemiology • Survival Analysis and Applications Using • Systematic Review and Meta-Analysis: Public Health . SAS and SPSS Evidence-based Decision-Making in / • Missing Data Imputation: A Practical Guide • Artificial Intelligence and Machine Learning • Multivariate Linear Regression and Logistics Regression Analysis Using SAS Each chapter is written by eminent scientists and experts worldwide, including contributors from institutions in the United States, Canada, Bangladesh, India, Hong Kong, Malaysia, and the Middle East. Statistical Approaches for Epidemiology: From Concept to Application is an all-inone book that serves as an essential text for graduate students, faculty, instructors, and
researchers in public health and other branches of health sciences, as well as a useful resource for health researchers in industry, public health and health department professionals, health practitioners, and health research organizations and non-governmental organizations. The book also will be helpful for graduate students and faculty in related disciplines such as data science, nursing, social work, environmental health, occupational health, computer science, statistics, and biology. |
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| spelling | Statistical approaches for epidemiology from concept to application Amal K. Mitra, editor Cham Springer [2024] xxix, 429 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Epidemiologie (DE-588)4015016-1 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Epidemiologie (DE-588)4015016-1 s Medizinische Statistik (DE-588)4127563-9 s DE-604 Mitra, Amal K. ca. 20./21. Jh. (DE-588)1315961164 edt Erscheint auch als Online-Ausgabe 978-3-031-41784-9 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034830615&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034830615&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
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| title | Statistical approaches for epidemiology from concept to application |
| title_auth | Statistical approaches for epidemiology from concept to application |
| title_exact_search | Statistical approaches for epidemiology from concept to application |
| title_exact_search_txtP | Statistical approaches for epidemiology from concept to application |
| title_full | Statistical approaches for epidemiology from concept to application Amal K. Mitra, editor |
| title_fullStr | Statistical approaches for epidemiology from concept to application Amal K. Mitra, editor |
| title_full_unstemmed | Statistical approaches for epidemiology from concept to application Amal K. Mitra, editor |
| title_short | Statistical approaches for epidemiology |
| title_sort | statistical approaches for epidemiology from concept to application |
| title_sub | from concept to application |
| topic | Epidemiologie (DE-588)4015016-1 gnd Medizinische Statistik (DE-588)4127563-9 gnd |
| topic_facet | Epidemiologie Medizinische Statistik Aufsatzsammlung |
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