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About Health Eq Tn10
This document discusses issues related to multivariate analysis of health data. It distinguishes between descriptive analysis, which simply describes relationships between variables, and causal analysis, which aims to draw causal inferences. For descriptive analysis, ordinary least squares regression can be used to describe how health varies with socioeconomic status and other factors. For causal analysis, more sophisticated models and estimators are needed to account for endogeneity and omitted variable bias. The document also discusses sample design considerations for health surveys, including stratified sampling and cluster sampling. It notes the importance of accounting for sample weights and clustering in statistical analysis to make proper inferences from complex survey data.
Detailed Information
| Author: | ['Anita Arias Uriona'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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