140.622.02 | AY 2013-2014 - 2nd Term | 4 Credit(s)
TTh 10:30:00 AM
  • Contact Information
    Karen Bandeen-Roche
    Marie Diener-West
  • 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 Distinguish the summary measures of association applicable to retrospective and prospective study designs; 1.2 Distinguish between the appropriate regression models
    • Design and interpret graphical and tabular displays of statistical information [2.1 Use the statistical analysis package Stata to construct statistical tables and graphs of journal quality];
    • Distinguish among the underlying probability distributions for modeling continuous, categorical, binary and time-to-event data; 3.2 Calculate the sample size necessary for estimating either a continuous or binary outcome in a single group; 3.3 Estimate the sample size necessary for determining a statistically significant difference in either a continuous or binary outcome between two groups; 3.4 Recognize the assumptions required in performing statistical tests assessing relationships between an outcome and a risk factor
    • Use statistical methods for inference, including confidence intervals and tests, to draw valid public health inferences from study data 4.1 Estimate two proportions and their difference, and confidence intervals for each. Interpret the interval estimates within a scientific context. Recognize the importance of other sources of uncertainty beyond those captured by the confidence interval; 4.2 Estimate an odds ratio or relative and its associated confidence interval. Explain the difference between the two and when each is appropriate; 4.3 Perform and interpret one-way analysis of variance to test for differences in means among three or more populations. Evaluate whether underlying probability model assumptions are appropriate; 4.4 Contrast mean outcomes among pairwise groups using multiple comparisons procedures; 4.5 Interpret the correlation coefficient as a measure of the strength of a linear association between a continuous response variable and a continuous predictor variable
  • Course Description
    Presents use of likelihood functions, confidence intervals, and hypothesis tests to draw scientific inferences from public health data. Discusses null and alternative hypotheses, Type I and II errors, and power. Develops parametric and non-parametric statistical methods for comparing multiple groups (ANOVA). Also introduces measures of association and simple linear regression. Addresses methods for planning a study, including stratification, balance, sampling strategies, and sample size.
  • Intended Audience
    Non-Biostatistics students
  • Methods of Assessment
    Student evaluation based on problem sets and exams.
  • Prerequisites
  • Required Text(s)

    Additional Faculty Notes:

    Required: Lawrence C. Hamilton. Statistics with Stata 9, 2006, Sucbury, Pacific Grove, California

    Recommended: Gerald van Belle et. al. Biostatistics: A Methodology for the Health Sciences,  2004, Wiley, Hoboken New Jersey


  • 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.

  • Welcome Message
    The course web site for both sections of 140.622 may be accessed directly at
  • Course Objectives(from old syllabus)
    1) Use statistical reasoning to formulate public health questions in quantitative terms 2) Design and interpret graphical and tabular displays of statistical information 3) Use probability models to describe the trends and random variation in public health data 4) Use statistical methods for inference, including tests and confidence intervals, to draw public health inferences from data The course is designed to enable students to develop their data analysis skills. Four important datasets will be analyzed by the students using the statistical package Stata throughout the 621-624 course sequence.
  • 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