Analytic Methods
Course Title: Statistical Reasoning in Public Health I
Instructor /Institute: John McGready, Johns Hopkins Bloomberg School of Public Health
Delivery Mode: Online-self study
When offered: Ongoing
Cost: Nil
Description: This self study course provides an introduction to selected topics in biostatistical concepts and reasoning using lectures, to do exercises and discussions; provides a survey of data and data types. The topics covered in this course include:
• Tools for describing central tendency and variability in data
• Methods for performing inference on population means and proportions via sample data
• Statistical hypothesis testing and its application to group comparisons
• Issues of power and sample size in study designs
• Random sample and other study types
Link: http://ocw.jhsph.edu/courses/StatisticalReasoning1/
Course Title: Statistical Reasoning in Public Health II
Instructor/Institute: John McGready, Johns Hopkins Bloomberg School of Public Health
Delivery Mode: Online-self study
When offered: Ongoing
Cost: Nil
Description: This course provides an introduction to selected topics in biostatistical concepts and reasoning using lectures, to do exercises and discussions. This course builds up on material covered under Statistical Reasoning in Public Health I. Topics covered under this course include:
• Multiple regression methods
• Methods for clinical diagnostic testing
• Univariate, bivariate and multivariate techniques for survival analysis
• Topics reinforced with “real-life” examples from recent biomedical literature
Link: http://ocw.jhsph.edu/courses/StatisticalReasoning2/
Course Title: Methods in Biostatistics I and Methods in Biostatistics II
Instructor/Institute: Brian Caffo, Johns Hopkins Bloomberg School of Public Health
Delivery Mode: Online-self study
When offered: Ongoing
Cost: Nil
Description: These courses help in developing fundamental concepts in applied probability, exploratory data analysis, and statistical inference. They focus on probability and analysis of one and two samples. The topics covered in these courses include:
• Discrete and continuous probability models
• Expectation and variance
• Central limit theorem
• Inference, including hypothesis testing and confidence for means
• Maximum likelihood estimation
• Sample size determinations
• Elementary non-parametric methods
• Graphical displays
• Data transformations
Link for Methods in Biostatistics I: http://ocw.jhsph.edu/courses/MethodsInBiostatisticsI/
Link for Methods in Biostatistics II: http://ocw.jhsph.edu/courses/methodsinbiostatisticsii/
Health Disparities
Course Title: Culture and Health Literacy
Instructor /Institute: Midwest Center for Life-Long Learning in Public Health
Delivery Mode: Online
When offered: Ongoing
Cost: None- will need to register
Description: The course is delivered in two modules that discuss how inequalities in health information contribute to unequal treatment and health outcomes for some populations and using local case studies highlight what communities can do to close the gap and improve health literacy.
Link: http://cpheo.sph.umn.edu/mclph/healthlit/
Course Title: Measuring Health Disparities
Instructor /Institute: John W Lynch, Sam Harper /Michigan Public Health Training Center
Delivery Mode: CD Rom/Downloadable computer file (PC compatible)
When offered: Ongoing
Cost: None
Description: The course focuses on how to understand and define health disparities, how to measure health disparities, including some of the common issues faced when doing so and the advantages and disadvantages of health disparity measures. The course discusses how best to use different measures to communicate and evaluate health disparity in different communities.
Target Audience:
Link:https://practice.sph.umich.edu/mphtc/site.php?module=courses_one_online_course&id=247