Cargando…
Concise Guide to Observational Studies in Healthcare.
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 cond...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Wiley,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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).
- 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.
- 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.
- 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).
- 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).