140.621.01 | AY 2013-2014 - 1st Term | 4 Credit(s)
TTh 10:30:00 AM
  • Contact Information
    Marie Diener-West
    Karen Bandeen-Roche
  • Course Learning Objectives

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

    • Use statistical reasoning to formulate public health questions in quantitative terms: 1.1 Discuss the role of statistical reasoning within the scientific method. 1.2 Discuss and apply the counterfactual definition of causal effects in public health
    • Design and interpret graphical and tabular displays of statistical information: 2.1 Create by hand and interpret stem and leaf plots, box plots, Q-Q plots and frequency tables. 2.2 Use the statistical analysis package Stata to make basic statistical com
    • Use probability models to describe trends and random variation in public health data: 3.1 Use the statistical analysis package Stata to make basic statistical computations in combination with graphical displays; 3.2 Use the concepts of probability to describe the effect of a treatment on a health outcome in a randomized trial; 3.3 Use the binomial distribution and the Poisson approximation to the binomial to calculate probabilities of events; 3.4 Use the Gaussian or normal probability model to approximate the distribution of a continuous public health measure and assess the quality of this approximation; 3.5 Generate and interpret a quantile-quantile (Q-Q) plot to compare two distributions
    • Use statistical methods for inference, including tests and confidence intervals, to draw public health inferences from data 4.1 Generate random numbers and appreciate the sources of variation among multiple observations of a random process; 4.2 Explain the implications of the Central Limit Theorem in determining the sampling distribution of the mean of n observations; 4.3 Use bootstrapping to determine confidence intervals and interpret them in a scientific context; 4.4 Use sampling distribution theory for the mean and for differences between two means to create confidence intervals and hypothesis tests; 4.5 Use stratification to eliminate the influence of a possible confounding variable in a study of the association of a risk factor and outcome; 4.6 Construct and interpret the appropriate two-sample confidence interval and t-test to assess whether average outcome is different between two groups; 4.7 Use the paired-sample t-test and confidence intervals
  • Course Description
    Introduces the basic concepts and methods of statistics as applied to diverse problems in public health and medicine. Demonstrates methods of exploring, organizing, and presenting data, and introduces fundamentals of probability, including probability distributions and conditional probability, with applications to 2x2 tables. Presents the foundations of statistical inference, including concepts of population, sample parameter, and estimate; and approaches to inferences using the likelihood function, confidence intervals, and hypothesis tests. Introduces and employs the statistical computing package, STATA, to manipulate data and prepare students for remaining course work in this sequence.
  • Intended Audience
    Non-Biostatistics students
  • Methods of Assessment

    Student evaluation based on problem sets, quizzes, and exams.

  • Course Schedule

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

    There are two sections of Statistical Methods in Public Health I (140.621.01 with Professor Diener-West; 140.621.02 with Professor Bandeen-Roche).


    The CoursePlus website is unified for both sections. Please note: all pertinent course information is available at the course website.

    The Course Schedule is located under the "Schedule" tab at this website.

  • 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