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Statistics and research methods for acute care and general surgeons
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Statistics and research methods for acute care and general surgeons

紀錄類型 : 書目-語言資料,印刷品: 單行本

其他作者 : Ceresoli, Marco.

出版者 : Cham, Switzerland :Springer,2022.

面頁冊數 : 1 online resource.

內容註 : Intro -- Preface: Why a Statistics Manual in the Series of "Hot Topics in Acute Care Surgery"? -- Contents -- Part I: Designing Your Research -- 1: Study Typology: An Overview -- 1.1 Introduction -- 1.2 The Need for Evidence-Based Medicine -- 1.3 Research Studies -- 1.4 Primary and Secondary Research Studies -- 1.4.1 Primary Studies -- 1.4.1.1 Laboratorial Research -- 1.4.1.2 Clinical Studies -- Clinical Observational Studies -- Case Reports and Case Series -- Clinical Experimental Studies -- 1.4.1.3 Epidemiological Research -- Cross-Sectional Studies -- Case-Control Studies

內容註 : Cohort Studies -- Ecological Studies -- 1.4.2 Secondary Studies -- 1.4.2.1 Narrative Reviews -- 1.4.2.2 Systematic Reviews and Meta-Analysis -- References -- 2: Diagnostic Studies Made Easy -- 2.1 Introduction -- 2.2 Nature of a Diagnostic Study -- 2.3 The Need for a Gold Standard -- 2.4 Components of Diagnostic Studies -- 2.5 Predictive Values -- 2.6 Prior Probability of the Disease (Prevalence) -- 2.7 The Likelihood Ratio (LR) -- 2.8 Receiver Operating Characteristics (ROC) Curves -- 2.8.1 Choosing a Cut-off Point: The Youden Index

內容註 : 2.9 Common Errors Encountered in Submitted Diagnostic Studies -- Further Reading -- 3: Common Pitfalls in Research Design and Its Reporting -- 3.1 Introduction -- 3.2 Unclear Research Question -- 3.3 Lack of Planning (Failing to Plan Is Planning to Fail) -- 3.4 Using the Wrong Research Tool -- 3.5 Selecting the Wrong Population -- 3.6 Addressing the Missing Data -- 3.7 Correlation and Prediction -- 3.7.1 Statistical and Clinical Significance -- 3.8 Reporting of the Data -- References -- Part II: Basic Statistical Analysis -- 4: Introduction to Statistical Method -- 4.1 Introduction

內容註 : 4.2 The Hypothesis -- 4.3 The Aim -- 4.4 The Errors -- 4.4.1 Type I Error -- 4.4.2 Type I Error Rate -- 4.4.3 Type II Error -- 4.4.4 Statistical Power -- 4.4.5 Type II Error Rate -- 4.4.6 Trade-Off between Type I and Type II Errors -- 4.4.7 Is a Type I or Type II Error Worse? -- 4.5 Sample Size Calculation -- 4.6 The P Value -- 4.6.1 Results and Interpretation -- 4.7 Bias -- 4.7.1 Selection Bias -- 4.7.2 Classification Bias -- 4.7.3 Confounding Bias -- 4.7.4 Other Types of Bias -- References -- 5: Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison

內容註 : 5.1 Introduction -- 5.2 Qualitative Variables -- 5.3 Quantitative Variables -- 5.3.1 Discrete Variables -- 5.3.2 Continuous Variables -- 5.4 Describing Data -- 5.4.1 Data Distribution -- 5.4.2 Test for Normality Assessment -- 5.4.3 Descriptive Measures -- 5.4.4 Dispersion Measure -- 5.4.5 Graphical Representations -- 5.5 Data Comparison: It Is All About Probability -- 5.5.1 Paired Data vs. Independent Data -- 5.5.2 Parametric vs. Non-Parametric Statistics -- 5.5.3 Commonest Tests -- 5.6 Linear Correlation -- 5.6.1 Pearson Correlation -- 5.6.2 Pearson Coefficient Interpretation

標題 : Surgery - Research - Methodology. -

標題 : Evidence-based medicine. -

標題 : Evidence-Based Medicine -

標題 : Meta-Analysis. -

標題 : Research Design - standards -

ISBN : 9783031138188

ISBN : 303113818X

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245 00$aStatistics and research methods for acute care and general surgeons$h[electronic resource] /$cMarco Ceresoli, Fikri M. Abu-Zidan, Kristan L. Staudenmayer, Fausto Catena, Federico Coccolini, editors.

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300 $a1 online resource.

490 1 $aHot topics in acute care surgery and trauma

505 0 $aIntro -- Preface: Why a Statistics Manual in the Series of "Hot Topics in Acute Care Surgery"? -- Contents -- Part I: Designing Your Research -- 1: Study Typology: An Overview -- 1.1 Introduction -- 1.2 The Need for Evidence-Based Medicine -- 1.3 Research Studies -- 1.4 Primary and Secondary Research Studies -- 1.4.1 Primary Studies -- 1.4.1.1 Laboratorial Research -- 1.4.1.2 Clinical Studies -- Clinical Observational Studies -- Case Reports and Case Series -- Clinical Experimental Studies -- 1.4.1.3 Epidemiological Research -- Cross-Sectional Studies -- Case-Control Studies

505 8 $aCohort Studies -- Ecological Studies -- 1.4.2 Secondary Studies -- 1.4.2.1 Narrative Reviews -- 1.4.2.2 Systematic Reviews and Meta-Analysis -- References -- 2: Diagnostic Studies Made Easy -- 2.1 Introduction -- 2.2 Nature of a Diagnostic Study -- 2.3 The Need for a Gold Standard -- 2.4 Components of Diagnostic Studies -- 2.5 Predictive Values -- 2.6 Prior Probability of the Disease (Prevalence) -- 2.7 The Likelihood Ratio (LR) -- 2.8 Receiver Operating Characteristics (ROC) Curves -- 2.8.1 Choosing a Cut-off Point: The Youden Index

505 8 $a2.9 Common Errors Encountered in Submitted Diagnostic Studies -- Further Reading -- 3: Common Pitfalls in Research Design and Its Reporting -- 3.1 Introduction -- 3.2 Unclear Research Question -- 3.3 Lack of Planning (Failing to Plan Is Planning to Fail) -- 3.4 Using the Wrong Research Tool -- 3.5 Selecting the Wrong Population -- 3.6 Addressing the Missing Data -- 3.7 Correlation and Prediction -- 3.7.1 Statistical and Clinical Significance -- 3.8 Reporting of the Data -- References -- Part II: Basic Statistical Analysis -- 4: Introduction to Statistical Method -- 4.1 Introduction

505 8 $a4.2 The Hypothesis -- 4.3 The Aim -- 4.4 The Errors -- 4.4.1 Type I Error -- 4.4.2 Type I Error Rate -- 4.4.3 Type II Error -- 4.4.4 Statistical Power -- 4.4.5 Type II Error Rate -- 4.4.6 Trade-Off between Type I and Type II Errors -- 4.4.7 Is a Type I or Type II Error Worse? -- 4.5 Sample Size Calculation -- 4.6 The P Value -- 4.6.1 Results and Interpretation -- 4.7 Bias -- 4.7.1 Selection Bias -- 4.7.2 Classification Bias -- 4.7.3 Confounding Bias -- 4.7.4 Other Types of Bias -- References -- 5: Analyzing Continuous Variables: Descriptive Statistics, Dispersion and Comparison

505 8 $a5.1 Introduction -- 5.2 Qualitative Variables -- 5.3 Quantitative Variables -- 5.3.1 Discrete Variables -- 5.3.2 Continuous Variables -- 5.4 Describing Data -- 5.4.1 Data Distribution -- 5.4.2 Test for Normality Assessment -- 5.4.3 Descriptive Measures -- 5.4.4 Dispersion Measure -- 5.4.5 Graphical Representations -- 5.5 Data Comparison: It Is All About Probability -- 5.5.1 Paired Data vs. Independent Data -- 5.5.2 Parametric vs. Non-Parametric Statistics -- 5.5.3 Commonest Tests -- 5.6 Linear Correlation -- 5.6.1 Pearson Correlation -- 5.6.2 Pearson Coefficient Interpretation

533 $aElectronic reproduction.$bIpswich, MA$nAvailable via World Wide Web.

588 0 $aOnline resource; title from PDF title page (SpringerLink, viewed January 5, 2023).

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700 1 $aCeresoli, Marco.$391603

700 1 $aAbu-Zidan, Fikri M.$391604

700 1 $aStaudenmayer, Kristan L.$391605

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Statistics and research methods for acute care and general surgeons[electronic resource] /Marco Ceresoli, Fikri M. Abu-Zidan, Kristan L. Staudenmayer, Fausto Catena, Federico Coccolini, editors. - Cham, Switzerland :Springer,2022. - 1 online resource. - Hot topics in acute care surgery and trauma. - Hot topics in acute care surgery and trauma..

Intro -- Preface: Why a Statistics Manual in the Series of "Hot Topics in Acute Care Surgery"? -- Contents -- Part I: Designing Your Research -- 1: Study Typology: An Overview -- 1.1 Introduction -- 1.2 The Need for Evidence-Based Medicine -- 1.3 Research Studies -- 1.4 Primary and Secondary Research Studies -- 1.4.1 Primary Studies -- 1.4.1.1 Laboratorial Research -- 1.4.1.2 Clinical Studies -- Clinical Observational Studies -- Case Reports and Case Series -- Clinical Experimental Studies -- 1.4.1.3 Epidemiological Research -- Cross-Sectional Studies -- Case-Control Studies


Electronic reproduction.
Ipswich, MA





Available via World Wide Web.

ISBN: 9783031138188

Standard No.: 10.1007/978-3-031-13818-8doiSubjects--Topical Terms:

91599
Surgery
--Research

LC Class. No.: RD29.7 / .S73 2022

Dewey Class. No.: 617.0072/7

National Library of Medicine Call No.: WA 950
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