140.613.13 | AY 2013-2014 - Winter I Term | 2 Credit(s)
MTWThF 1:30:00 PM
  • Contact Information
    Xiangrong Kong
  • Course Learning Objectives

    Upon successfully completing this course, students will be able to:

    • Use STATA to perform exploratory data analysis for continous and dichotomous variables
    • use STATA to perform exploratory data analysis for continuous and dichotomous variables
    • Use STATA do files to create reproducible analyses
    • Explain the distinction between and appropriate uses of the binomial, poisson and normal probability models
    • Use STATA to perform paired and unpaired t-tests for differences in group means
    • Describe the appropriate use of paired and unpaired t-tests and the interpretation of the resulting Stata output
    • Use STATA to perform a chi-squared test and compute confidence intervals for differences in group proportions, relative risks and odds ratios
    • Describe the appropriate use of chi-squared tests and the interpretation of the resulting Stata output
    • Use STATA to visualize relationships between two continuous measures
    • Use STATA to fit simple linear regression models, and interpret relevant estimates from the results
  • Course Description
    Intended for students with a broad understanding of biostatistical concepts used in public health sciences who seek to develop additional data analysis skills. Emphasizes concepts and illustration of concepts applying a variety of analytic techniques to public health datasets in a computer laboratory using Stata statistical software. In the first workshop (140.613), students learn basic methods of data organization/management and simple methods for data exploration, data editing, and graphical and tabular displays. Additional topics include comparison of means and proportions, simple linear regression and correlation. Enrollment limited: students must have a laptop computer with Stata 11.0 installed.
  • Intended Audience
    MPH distance education students
  • Methods of Assessment
    Student evaluation based on laboratory exercises, an exam, and completion of an independent data analysis project.
  • Prerequisites
    Experience in using a statistical analysis package; 140.611-612
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

  • Academic Ethics Code

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Disability Support Services
    If you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at