Statistical Methods in Health Disparity Research
In: Chapman and Hall/CRC Biostatistics Series
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- 1. Basic Concepts -- 1.1. What is a health disparity? -- 1.2. A brief historical perspective -- 1.3. Some examples -- 1.4. Determinants of health -- 1.4.1. Biology and genetics -- 1.4.2. Individual behavior -- 1.4.3. Health services -- 1.4.4. Social determinants of health -- 1.4.5. (Health) policies -- 1.5. The challenging issue of race -- 1.5.1. Racial segregation as a social determinant of health -- 1.5.2. Racism, segregation, and inequality -- 1.6. Role of data visualization in health disparities research -- 1.7. A note on notation adopted in this book -- 2. Overall Estimation of Health Disparities -- 2.1. Data and measurement -- 2.2. Disparity indices -- 2.2.1. Total disparity indices -- 2.2.2. Disparity indices measuring differences between groups -- 2.2.3. Disparity indices from complex surveys -- 2.3. Randomized experiments: an idealized estimate of disparity -- 2.4. Model-based estimation: adjusting for confounders -- 2.4.1. Regression approach -- 2.4.1.1. Model-assisted survey regression -- 2.4.2. Peters-Belson approach -- 2.4.2.1. Peters-Belson approach for complex survey data -- 2.4.2.2. Peters-Belson approach for clustered data -- 2.4.3. Disparity drivers -- 2.4.3.1. Disparity drivers for complex survey data -- 2.5. Matching and propensity scoring -- 2.6. Discrete outcomes -- 2.6.1. Binary outcomes -- 2.6.2. Nominal and ordinal outcomes -- 2.6.3. Poisson regression and log-linear models -- 2.7. Survival analysis -- 2.7.1. Survivor and hazard functions -- 2.7.2. Common parametric models -- 2.7.3. Estimation -- 2.7.4. Inference -- 2.7.5. Non-parametric estimation of S(y) -- 2.7.6. Cox proportional hazards model -- 2.8. Multi-level modeling -- 2.8.1. Estimation and inference -- 2.9. Generalized estimating equations.