| Description |
1 online resource |
| Contents |
Title page; Copyright page; Foreword; Preface; Chapter 1: Fundamental concepts; 1.1 Observational studies: purpose; 1.2 Specifying a clear research question: exposures and outcomes; 1.3 Types of observational studies; 1.4 Strengths and limitations of the different types of study designs; 1.5 Key design features; 1.6 Interpreting and reporting the results and implication for public health or clinical practice; 1.7 Translational research; 1.8 Key points; References; Chapter 2: Outcome measures, risk factors, and causality; 2.1 Types of measurements (endpoints); 2.2 'Counting people' (risk) |
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2.3 'Taking measurements on people'2.4 Time-to-event data; 2.5 What could the true effect be, given that the study was conducted on a sample of people?; 2.6 Understanding risk and risk factors; 2.7 Risk factors and investigating association and causality; 2.8 Key points; References; Chapter 3: Effect sizes; 3.1 Effect sizes; 3.2 What could the true effect be, given that the study was conducted on a sample of people?; 3.3 Could the observed result be a chance finding in this particular study?; 3.4 Simple statistical analyses; 3.5 Key Points; References; Chapter 4: Regression analyses |
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4.1 Linear regression4.2 Identifying and dealing with outliers; 4.3 Different types of regressions; 4.4 General comments on the different regression methods; 4.5 Categorising exposure factors (variables); 4.6 Interpreting p-values for factors that have e"3 levels; 4.7 Examining several factors at the same time; 4.8 Interactions between two exposures (effect modifiers); 4.9 Measuring the outcome measure more than once during the study; 4.10 Checking the regression model; 4.11 Missing data; 4.12 Key points; References; Chapter 5: Cross-sectional studies; 5.1 Purpose; 5.2 Design |
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5.3 Measuring variables, exposures, and outcome measures5.4 Collecting the data; 5.5 Sample size; 5.6 Analysing data and interpreting results; 5.7 Outcome measures based on 'counting people' endpoints: Vocational dental practitioners (VDPs) and lifestyle habits (Box 5.2); 5.8 Outcome measures based on 'counting people' endpoints: COPD and passive smoking (Box 5.3); 5.9 Outcome measures based on 'taking measurements on people' endpoints: Quality of life in young cancer patients (Box 5.4) |
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5.10 Outcome measures based on 'taking measurements on people' endpoints: Salt intake and blood pressure among adolescents (Box 5.5)5.11 Key points; References; Chapter 6: Case-control studies; 6.1 Purpose; 6.2 Design; 6.3 Measuring variables, exposures, and outcomes; 6.4 Collecting the data; 6.5 Sample size; 6.6 Analysing data and interpreting results; 6.7 Outcome measures based on 'counting people' endpoints: Sudden infant death syndrome and sleeping factors (Box 6.2); 6.8 Measures based on 'taking measurements on people' endpoints: Alzheimer's disease and head circumference (Box 6.3) |
| Summary |
A Concise Guide to Observational Studies in Healthcare provides busy healthcare professionals with an easy-to-read introduction and overview to conducting, analysing and assessing observational studies.It is a suitable introduction for anyone without prior knowledge of study design, analysis or conduct as the important concepts are presented throughout the text. It provides an overview to the features of design, analyses and conduct of observational studies, without using mathematical formulae, or complex statistics or terminology and is a useful guide for researchers conducting their own |
| Notes |
Print version record |
| Subject |
Medicine -- Research -- Handbooks, manuals, etc
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Medical care -- Evaluation -- Handbooks, manuals, etc
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Medical care -- Evaluation
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Medicine -- Research
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| Genre/Form |
Handbooks and manuals
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| Form |
Electronic book
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| ISBN |
1322566569 |
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9781322566566 |
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