Source: Johns Hopkins Bloomberg School of Public Health
Type: PowerPoint & Lecture Materials
Level: Introductory
Discription: “Introduces unified topics that cut across many applications that show empirically to be most important in the day-to-day collaboration between the researchers in Public Health and Biostatistics and emphasizes concepts over details, through recent applications in Public Health.
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Source: Johns Hopkins Bloomberg School of Public Health
Type: PowerPoint & Lecture Materials
Level: Introductory
Description: 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.
Source: ClinDescience Consultancy for Drug and Clinical Development
Type: Article
Level: Introductory
Discription: This article reviews types of clinical trials and sampling strategies.
Source: Johns Hopkins Bloomberg School of Public Health
Type: PowerPoint / Lecture Materials
Level: Intermediate
Description: Overview of quantitative approaches to measurement in the psychological and social sciences. Such topics include psychometrics, latent variable analysis, and item response theory.
Source: Johns Hopkins Bloomberg School of Public Health
Type: PowerPoint / Lecture Materials
Level: Advanced
Description: Quantitative study on principles of path analysis, casual inference, measurement models, and other relevant topics to social sciences.
Souce: University of North Carolina Gillings School of Global Public Health Minority Health Project
Type: Webinar
Level: Intermediate
Discription: Overview of procedures and historical progress
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Advanced
Description: “After completing this lecture, you will be able to:
Show how the probability of a diagnosis is affected by a test result, sensitivity, and specificity
Describe how evidence can be integrated using decision trees
Illustrate the concept of threshold probabilities and their implications
Discuss how sensitivity analyses are performed and what they mean
Explain how patient preferences (utilities or values) can be integrated into patient-centered choices using decision analysis
Identify different types of economic analyses in comparative effectiveness research
Explain how to calculate incremental cost-effectiveness
List how cost-effectiveness analysis is being used for technology assessment”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to:
List the reasons for conducting systematic reviews
Appreciate the role of systematic review in CER
Describe the components of a systematic review
State the role of analytic frameworks in systematic review and the approach to formulate answerable systematic review questions
Identify the users and producers of systematic reviews
Define the basic principles of combining data
Identify the common metrics for meta-analysis
List the basics of combining results across studies and effects of weights
Explain the meaning of heterogeneity
Discuss the fixed effect and random effects model
Interpret meta-analysis results”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Intermediate
Description: “After completing this lecture, you will be able to:
State the limitations of randomized controlled trials
Identify the settings in which observational studies of comparative effectiveness may be particularly helpful to clinicians and policymakers
Explain the methodological challenges in conducting retrospective, observational CER using existing sources of data
Describe model-based and other approaches to reduce the effects of confounding in observational CER
Discuss specific examples of retrospective and observational CER, and how these have informed public policy and healthcare delivery system change
List key aspects and the steps of a systematic review
Identify the methodological and inferential challenges of longitudinal observational studies of health outcomes and delivery system change”
Source: Tufts Clinical and Translational Science Institute
Type: Online Course
Level: Advanced
Description: “After completing this lecture, you will be able to:
Identify the limitations of applying the overall results of clinical trials to individual patients
Discuss how summary results of individual trials might not even reflect the benefits of typical patients in the trial
Explain how subgroup analyses are prone both to false-positive and false-negative results
Illustrate approaches that might lead to more credible and actionable subgroup results
Express why multidimensional risk models may have advantages over conventional “one-variable-at-a-time” subgroup analysis
Determine some of the limitations of using genetic information as a basis for exploring heterogeneity of treatment effect”
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