Course Descriptions
HPA 473 - CLINICAL RESEARCH METHODS II
This course introduces ordinary least squares multivariate regression models, its assumptions and interpretation of outputs and then reviews the implications of departures from these assumptions and surveys more advanced multivariate regression models. Students will learn to manipulate and interpret data, identify and control for systematic error, perform linear and logistic regression and impute missing values.
Learning Objectives:
- Analyze and interpret data using simple linear regression models
- Develop models using interactions and dummy variables
- Demonstrate a working knowledge of other multivariate models (logistic, repeated measures, random effects and fixed effects)
- Enumerate the assumptions of OLS and the strengths of the resulting estimates
- Use statistical software to estimate some simple regression models and interpret the output correctly
- Identify departures from the OLS assumptions, their implications and “cures”
- Demonstrate an appreciation of the circumstances under which the following modeling approaches would be used: logistic regression, random and fixed effects, survival analysis and imputations
Topics Covered:
1. Simple linear regression
- Systematic variation and random error
- OLS
- Developing a simple model and using SPSS to estimate regression
- Interpreting OLS output
- Model performance measures
- Predictive power of an additional variable
- More complex models
- Dummy variables
- Interactions
- Specification strategies
2. Departures from OLS assumptions
- Non-normal residuals
- Co-linearity
- Systematic residual patterns
- Systematic error
- Measurement error and measurement bias
- Bi-directional relationship
3. Other multivariate models
- Categorical dependent variable
- Logistic regressions
- Odds ratio
- Interpreting logistic output
- Repeated measures
- Random effect and fixed effect models
- Survival analysis
- Cox regression
- Imputation of missing values
Prerequisites:
HPA 472 Clinical Research Methods I, graduate or professional standing, and approval of the department
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