Analytic Approach

The problem statement poses two research questions: “On average do creatinine levels exceed the upper endpoint (2 mg/dL) of the Stage 1 kidney insufficiency range?” and “What proportion of patients have creatinine levels greater than 2 mg/dL?” The three questions below will guide the selection of appropriate statistical methods.
  1. What is the response (Y) of interest and how is it measured? For the first research question, the creatinine level is of interest. It is a continuous variable. For the second research question, the nominal variable indicating creatinine level greater than two should be analyzed.
  2. Are predictor variables mentioned in the problem statement? If so, how many and what are their measurement levels? There are no predictor variables mentioned in the research questions.
  3. What are you being asked to deliver? A data description, an interval estimate, an answer to a question, or a predictive model? For the first research question, we need a yes or no answer to a question. A test of hypothesis is an appropriate method. For the second research question, a numerical estimate of a proportion is needed. The point estimate of the proportion of patients with creatinine level greater than 2 can be obtained from the sample data. A confidence interval for a proportion will provide a range of plausible values for the true proportion of patients with creatinine levels greater than 2.
Last updated: October 12, 2017
..................Content has been hidden....................

You can't read the all page of ebook, please click here login for view all page.
Reset