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Statistics and research methods for ...
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Ceresoli, Marco.
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Statistics and research methods for acute care and general surgeons
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Statistics and research methods for acute care and general surgeons/ edited by Marco Ceresoli ... [et al.].
其他作者:
Ceresoli, Marco.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
x, 175 p. :ill., digital ;24 cm.
內容註:
Part I) Designing Your Research -- 1) Study Typology: An Overview -- 2) Diagnostic Studies Made Easy -- 3) Common Pitfalls in Research Design and Its Reporting -- Part II) Basic Statistical Analysis -- 4) Introduction to Statistical Method: Hypothesis, Aim, Errors, p-value, Bias -- 5) Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison -- 6) Analyzing Categorical Variable: Descriptive Statistics and Comparisons -- Part III) Advanced Statistics -- 7) Multiple Regressions -- 8) Survival Analyses of Surgical Data in Practice: How to Survive -- 9) Systematic Reviews and Meta-Analysis -- 10) Randomized Trials and Case Control Matching Techniques -- 11) Difference-in-Difference Techniques and Causal Inference -- 12) An Introduction to Machine Learning Based Predictive Modeling Methods for Acute Care and General Surgeons -- 13) Statistical Editor's Practical Advice for Data Analysis.
Contained By:
Springer Nature eBook
標題:
Surgery - Statistical methods. -
電子資源:
https://doi.org/10.1007/978-3-031-13818-8
ISBN:
9783031138188
Statistics and research methods for acute care and general surgeons
Statistics and research methods for acute care and general surgeons
[electronic resource] /edited by Marco Ceresoli ... [et al.]. - Cham :Springer International Publishing :2022. - x, 175 p. :ill., digital ;24 cm. - Hot topics in acute care surgery and trauma,2520-8292. - Hot topics in acute care surgery and trauma..
Part I) Designing Your Research -- 1) Study Typology: An Overview -- 2) Diagnostic Studies Made Easy -- 3) Common Pitfalls in Research Design and Its Reporting -- Part II) Basic Statistical Analysis -- 4) Introduction to Statistical Method: Hypothesis, Aim, Errors, p-value, Bias -- 5) Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison -- 6) Analyzing Categorical Variable: Descriptive Statistics and Comparisons -- Part III) Advanced Statistics -- 7) Multiple Regressions -- 8) Survival Analyses of Surgical Data in Practice: How to Survive -- 9) Systematic Reviews and Meta-Analysis -- 10) Randomized Trials and Case Control Matching Techniques -- 11) Difference-in-Difference Techniques and Causal Inference -- 12) An Introduction to Machine Learning Based Predictive Modeling Methods for Acute Care and General Surgeons -- 13) Statistical Editor's Practical Advice for Data Analysis.
The main aim of this book is to offer an easy tool to read a scientific article with greater awareness, to understand and evaluate it more thoroughly, and to better plan research. Today, in the era of evidence-based medicine, both research and daily patient-focused clinical practice are no longer possible without a thorough knowledge of the literature and its continuous updates. Written by surgeons for surgeons, this practical book makes the basic concept of statistics and research methodology easy to understand and apply for young surgeons and researchers, students and residents.
ISBN: 9783031138188
Standard No.: 10.1007/978-3-031-13818-8doiSubjects--Topical Terms:
3611907
Surgery
--Statistical methods.
LC Class. No.: RD29.7
Dewey Class. No.: 617.00727
Statistics and research methods for acute care and general surgeons
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Part I) Designing Your Research -- 1) Study Typology: An Overview -- 2) Diagnostic Studies Made Easy -- 3) Common Pitfalls in Research Design and Its Reporting -- Part II) Basic Statistical Analysis -- 4) Introduction to Statistical Method: Hypothesis, Aim, Errors, p-value, Bias -- 5) Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison -- 6) Analyzing Categorical Variable: Descriptive Statistics and Comparisons -- Part III) Advanced Statistics -- 7) Multiple Regressions -- 8) Survival Analyses of Surgical Data in Practice: How to Survive -- 9) Systematic Reviews and Meta-Analysis -- 10) Randomized Trials and Case Control Matching Techniques -- 11) Difference-in-Difference Techniques and Causal Inference -- 12) An Introduction to Machine Learning Based Predictive Modeling Methods for Acute Care and General Surgeons -- 13) Statistical Editor's Practical Advice for Data Analysis.
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The main aim of this book is to offer an easy tool to read a scientific article with greater awareness, to understand and evaluate it more thoroughly, and to better plan research. Today, in the era of evidence-based medicine, both research and daily patient-focused clinical practice are no longer possible without a thorough knowledge of the literature and its continuous updates. Written by surgeons for surgeons, this practical book makes the basic concept of statistics and research methodology easy to understand and apply for young surgeons and researchers, students and residents.
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