Johns Hopkins Bloomberg School of Public Health
OpenCourseWare (OCW) Course Listing
Biostatistics
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Covers the basics of R software and the key capabilities of the Bioconductor project, including importation and preprocessing of high-throughput data from microarrays and other platforms.
Biostatistics for Medical Product Regulation
Provides a broad understanding of the application of biostatistics in a regulatory context.
Biostatistics Lecture Series
Addresses topics that commonly arise from the day-to-day collaboration between researchers in public health and Biostatistics at the School.
Dean's Lecture Series: 2007-2008
In these presentations, the lecturers address challenging public health issues of the day and report on lessons learned from their own research and experience in the field.
Essentials of Probability and Statistical Inference IV
Introduces the theory and application of modern, computationally-based methods for exploring and drawing inferences from data.
Fundamentals of Epidemiology I
Fundamentals of Epidemiology I is the first half of a course that introduces the basic concepts of epidemiology and biostatistics as applied to public health problems.
Fundamentals of Epidemiology II
Fundamentals of Epidemiology I and II introduce the basic concepts of epidemiology and biostatistics as applied to public health problems.
How Risky is Breathing? Statistical Methods in Air Pollution Risk Estimation
This lecture explores the statistical methods used for assessing the health effects of air pollution. Dr. Dominici uses examples from her own national-level research.
Introduction to Biostatistics — New this month
ntroduction to Biostatistics provides an introduction to selected important topics in biostatistical concepts and reasoning.
Methods in Biostatistics I
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples.
Johns Hopkins Bloomberg School of Public Health
OpenCourseWare (OCW) Content Listing (continued)
Methods in Biostatistics II
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples.
Statistical Methods for Sample Surveys
Presents construction of sampling frames, area sampling, methods of estimation, stratified sampling, subsampling, and sampling methods for surveys of human populations. Students use STATA or another comparable package to implement designs and analyses of survey data.
Statistical Reasoning I
Statistical Reasoning in Public Health provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions.
Statistical Reasoning II
Statistical Reasoning in Public Health II provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions.
Statistics for Laboratory Scientists I
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences.
Statistics for Laboratory Scientists II
This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences.
Statistics for Psychosocial Research: Structural Models
Presents quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data.
Statistics in Psychosocial Research: Measurement
Presents quantitative approaches to measurement in the psychological and social sciences.
