List specific variable that you anticipate using for project

Reference no: EM133720777

Assignment: Relationship between BMI and The Prevalence of Diabetes Proposal

Research Proposal

Step I: Familiarize yourself with the National Health and Nutrition Examination Survey (NHANES 2017- March 2020 Pre-pandemic) data, documentation, and codebooks. Specifically, review documentation for the demographics data, examination data, laboratory data, and questionnaire data.

Step II: Propose a research question(s) and hypothesis(es) you would like to evaluate for your final project. Fill the following table.

Note: For this class, you must choose a research question that can be answered with publicly available NHANES data (see the Demographic data, Dietary data, Examination Data, Laboratory Data, or Questionnaire Data sections). Anything in the Limited Access Data section requires a proposal (and payment) to CDC.

Background

Explaining the public health problem. Include any background information (e.g. definitions) that are needed to understand your research question and hypotheses. Why are you interested in this topic?

Population

Define the population of interest (e.g. adults age 50+, women of all ages)

Research Question

Description of research question(s). You should have at least one research question that examines the association between an independent variable (i.e. exposure) and a dependent variable (i.e. outcome)

Hypothesis(es)

Description of what you expect to find

Data Sources

List the data files within NHANES 2017-March 2020 Pre-pandemic data that you anticipate needing for your project (e.g. demographics, alcohol questionnaire)

Variable Names

List the specific variables that you anticipate using for your project. Include both a description of the variable as well as the NHANES variable name. At this point, focus specifically on variables that you will use to define your study population and measure your exposure and outcome variables.

Step III: Characterize your research question(s) as descriptive, predictive, or causal. Explain your rationale.

Step IV: Import the data files you need to measure your exposure and outcome variables into SAS Studio. Use PROC PRINT to examine the first 20 lines of data within each file. Use PROC CONTENTS to examine the metadata of each file.

Reference no: EM133720777

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