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  • Johns Hopkins Bloomberg School of Public Health
Baltimore Food Systems: A Case Study of Urban Food Environments
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This seminar-style course challenges students to look closely at the environment of ...

This seminar-style course challenges students to look closely at the environment of Baltimore City's complex food systems and to consider what it would take to improve these systems to assure access for all to nutritious, adequate, affordable and sustainably produced food. Students "go backstage" with tour guides at sites including a supermarket, a corner store, an emergency food distribution center, and a farm connected to the city school system. Students learn about the types of food available at these sites, who uses them, relevant aspects of their operations, and site-relevant key barriers to and opportunities for providing access to healthier food, ideally with reduced environmental harm. They also conduct oral history interviews about food with elderly city residents to understand how food access has changed over the years. Class discussions, lectures, readings, and guest speakers support critical thinking, and provide background and frameworks for understanding the experiential sessions. Lectures and discussions consider applicability of lessons gained from the study of Baltimore to other area food systems. Throughout, students consider the relative impacts of access, demand, and stakeholder interests, and consider the relative strengths of voluntary, governmental, legal and other strategies. For their final papers, students apply the Intervention Decision Matrix to selected aspects of the city's food systems and food environments, identifying challenges and opportunities for change, incorporating lessons learned from other food systems and programs, and discussing implications beyond Baltimore .

Subject:
Health Science
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Anne Palmer
Roni Neff
Date Added:
01/15/2009
Biostatistics for Medical Product Regulation
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This course provides a broad understanding of the application of biostatistics in ...

This course provides a broad understanding of the application of biostatistics in a regulatory context. Reviews the relevant regulations and guidance documents. Includes topics such as basic study design, target population, comparison groups, and endpoints. Addresses analysis issues with emphasis on the regulatory aspects, including issues of missing data and informative censoring. Discusses safety monitoring, interim analysis and early termination of trials with a focus on regulatory implications.

Subject:
Health Science
Statistics and Probability
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Mary Foulkes
Simon Day
Date Added:
09/15/2008
Essentials of Probability and Statistical Inference IV: Algorithmic and Nonparametric Approaches
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Introduces the theory and application of modern, computationally-based methods for exploring and ...

Introduces the theory and application of modern, computationally-based methods for exploring and drawing inferences from data. Covers re-sampling methods, non-parametric regression, prediction, and dimension reduction and clustering. Specific topics include Monte Carlo simulation, bootstrap cross-validation, splines, local weighted regression, CART, random forests, neural networks, support vector machines, and hierarchical clustering. De-emphasizes proofs and replaces them with extended discussion of interpretation of results and simulation and data analysis for illustration.

Subject:
Statistics and Probability
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Irizarry, Rafael
Date Added:
10/13/2017
Managing Long-Term Care Services for Aging Populations
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This course will consider long-term service delivery programs designed to meet the ...

This course will consider long-term service delivery programs designed to meet the special needs of seniors. It will review care and service systems from the unique perspective of an aging population, including the physiological and psychological changes common among seniors.

Subject:
Health Science
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Willging, Paul
Date Added:
10/13/2017
Methods in Biostatistics II
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Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, ...

Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.

Subject:
Health Science
Statistics and Probability
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Brian Caffo
Date Added:
10/13/2017
Statistical Methods for Sample Surveys
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This course presents construction of sampling frames, area sampling, methods of estimation, ...

This course 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.

Subject:
Statistics and Probability
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Saifuddin Ahmed
Date Added:
01/15/2009
Statistical Reasoning II
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Statistical Reasoning in Public Health II provides an introduction to selected important ...

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. The course builds on the material in Statistical Reasoning in Public Health I , extending the statistical procedures discussed in that course to the multivariate realm, via multiple regression methods. New topics, such as methods for clinical diagnostic testing, and univariate, bivariate, and multivariate techniques for survival analysis will also be covered. These topics will be reinforced with many "real-life" examples drawn from recent biomedical literature. While there are some formulae and computational elements to the course, the emphasis is again on interpretation and concepts.

Subject:
Statistics and Probability
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
McGready, John
Date Added:
10/13/2017
Statistics for Laboratory Scientists I
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This course introduces the basic concepts and methods of statistics with applications ...

This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, sample size and power calculations, and a selection of the following: permutation tests, the bootstrap, survival analysis, longitudinal data analysis, nonlinear regression, and logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data.

Subject:
Statistics and Probability
Material Type:
Full Course
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Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Broman, Karl
Date Added:
10/13/2017
Statistics for Laboratory Scientists II
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This course introduces the basic concepts and methods of statistics with applications ...

This course introduces the basic concepts and methods of statistics with applications in the experimental biological sciences. Demonstrates methods of exploring, organizing, and presenting data, and introduces the fundamentals of probability. Presents the foundations of statistical inference, including the concepts of parameters and estimates and the use of the likelihood function, confidence intervals, and hypothesis tests. Topics include experimental design, linear regression, the analysis of two-way tables, sample size and power calculations, and a selection of the following: permutation tests, the bootstrap, survival analysis, longitudinal data analysis, nonlinear regression, and logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data.

Subject:
Statistics and Probability
Material Type:
Full Course
Lecture Notes
Syllabus
Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Broman, Karl
Date Added:
10/13/2017
Statistics for Psychosocial Research: Structural Models
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This course presents quantitative approaches to theory construction in the context of ...

This course presents quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data. Topics include the statistical basis for causal inference; principles of path analysis; linear structural equation analysis incorporating measurement models; latent class regression; and analysis of panel data with observed and latent variable models. Draws examples from the social sciences, including the status attainment approach to intergenerational mobility, behavior genetics models of disease and environment, consumer satisfaction, functional impairment and disability, and quality of life.

Subject:
Statistics and Probability
Material Type:
Full Course
Lecture Notes
Syllabus
Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Quian-Li Xue
William Eaton
Date Added:
09/15/2007
Statistics in Psychosocial Research: Measurement
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Presents quantitative approaches to measurement in the psychological and social sciences. Topics ...

Presents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; and item response theory. Draws examples from the social sciences, including stress and distress, social class and socioeconomic status, personality; consumer satisfaction, functional impairment and disability, quality of life, and the measurement of overall health status. Intended for doctoral students.

Subject:
Statistics and Probability
Material Type:
Full Course
Lecture Notes
Syllabus
Provider:
Johns Hopkins Bloomberg School of Public Health
Provider Set:
JHSPH OpenCourseWare
Author:
Eaton, William
Garrett-Mayer, Elizabeth
Leoutsakos, Jeannie-Marie
Date Added:
10/13/2017