Use the Birthweight (sashelp.birthwgt) dataset in SAS which contains 100,000 observations from the 2003 US National Center for Health Statistics. Using these data, you decide to conduct a case control study to determine risk factors for low birth weight. Your objective is to determine if low birth weight is associated with one or more of the maternal factors. Your secondary objective is to determine whether the associations differ when stratified by race or age group.

Instructions

Using SAS Studio, plan and conduct analyses to determine whether low birth weight is associated with any of the demographic and behavioral variables. Design a poster to summarize your study. The variables are:

• Low birth weight (yes/no),No, Yes
• Married No, Yes
• Age Group 3 levels, 1,2,3
• Maternal smoking during pregnancy No, Yes
• Maternal Drinking during pregnancy No, Yes
• Some college No, Yes
• Race, Asian, Black, Native (Native-American), White

You should include, at minimum:

1. Exploratory analysis.
   1. Design a table to summarize the prevalence of each factor in the entire population.
2. Tests for association between each maternal smoking (independent variables) and the outcome (dependent variable) in the entire study population. Repeat for maternal drinking behavior.
3. Test for association between maternal drinking and low birth weight stratified by age group. Determine the strata specific odds ratio and Cochran-Mantel-Haenszel common odds ratio.
4. Conduct a logistic regression to test for an association between maternal drinking and low birth weight (Event of interest = Yes) adjusted for age and race. Use the default Main effects model.
5. Feel free to explore any other associations of interest!
6. Create tables to summarize the results of steps 2, 3, and 4.
7. Design a poster to communicate your epidemiologic study. Like an abstract, your poster should include:
   1. The research question and hypothesis
   2. Summary of the methods
   3. Summary of the results of the descriptive and analytic analyses
      1. Tables and figures as appropriate
      2. Interpretation, limitations, and public health application of the results

Please number your responses clearly so that I would be able to easily understand them