Course Modules

Module 1: Introduction to Basic Language, Terms, and Concepts in Statistics and Design

Module 1: Introduction to Basic Language, Terms, and Concepts in Statistics and Design
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Module 1: Introduction to Basic Language, Terms, and Concepts in Statistics and Design 3109679  
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    Introductory Remarks | Dr. David B. Allison and Dr. Kevin Fontaine Introductory Remarks | Dr. David B. Allison and Dr. Kevin Fontaine
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    Intro to Statistical Inference | Dr. Evan Mayo-Wilson Intro to Statistical Inference | Dr. Evan Mayo-Wilson
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    Intro to Energy Balance and Laws of Thermodynamics | Dr. Greg Demas Intro to Energy Balance and Laws of Thermodynamics | Dr. Greg Demas
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    Study Designs and Quantifying Effect and Association Size | Dr. Keith Haddock Study Designs and Quantifying Effect and Association Size | Dr. Keith Haddock
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Module 2: Conventional Observational Studies: Advantages, Limits, and Best Practices

Module 2: Conventional Observational Studies: Advantages, Limits, and Best Practices
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Module 2: Conventional Observational Studies: Advantages, Limits, and Best Practices 3109680  
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    Best Practices | Dr. Douglas Weed Best Practices | Dr. Douglas Weed
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    Advantages | Dr. Yiqing Song Advantages | Dr. Yiqing Song
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    Limits I – Theory: Bias and Confounding | Dr. Dominik Alexander Limits I – Theory: Bias and Confounding | Dr. Dominik Alexander
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    Limits II – Empirical: Evidence & Case Studies of Confirmation and Non-Confirmation of Observational Study-Generated Hypotheses | Dr. Andrew Brown Limits II – Empirical: Evidence & Case Studies of Confirmation and Non-Confirmation of Observational Study-Generated Hypotheses | Dr. Andrew Brown
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Module 3: Randomized Controlled Experiments, Part I

Module 3: Randomized Controlled Experiments, Part I
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Module 3: Randomized Controlled Experiments, Part I 3109681  
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    Theory: Potential Outcomes | Dr. David B. Allison Theory: Potential Outcomes | Dr. David B. Allison
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    Methods for Randomization (Including Cluster Randomization, Stratifies, Choice of Allocation Rations, Adaptive, Etc.) | Dr. Scarlett Bellamy Methods for Randomization (Including Cluster Randomization, Stratifies, Choice of Allocation Rations, Adaptive, Etc.) | Dr. Scarlett Bellamy
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    Power & Sample Size Calculation | Dr. Michael Oakes Power & Sample Size Calculation | Dr. Michael Oakes
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    Choice of Control Condition Based on Hypothesis and Anticipated Claims | Dr. Kevin Fontaine Choice of Control Condition Based on Hypothesis and Anticipated Claims | Dr. Kevin Fontaine
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    Controlling for Expectancy and Not-Specific Effects | Dr. Jack Raglin Controlling for Expectancy and Not-Specific Effects | Dr. Jack Raglin
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Module 4: Randomized Controlled Experiments, Part II

Module 4: Randomized Controlled Experiments, Part II
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    Practical Challenges: Measurement Error, Missing Data, Assumption Violations, Etc. | Dr. Carmen Tekwe Practical Challenges: Measurement Error, Missing Data, Assumption Violations, Etc. | Dr. Carmen Tekwe
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    Ethical Issues in RCEs | Dr. Theodore Kyle Ethical Issues in RCEs | Dr. Theodore Kyle
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    Procedural Elements: Trail Registration, Reporting Guidelines | Dr. Samuel Field Procedural Elements: Trail Registration, Reporting Guidelines | Dr. Samuel Field
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    Large Simple Trials & Cluster Randomized Trials | Dr. Michael Oakes Large Simple Trials & Cluster Randomized Trials | Dr. Michael Oakes
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Model 5: Quasi Experiments

Model 5: Quasi Experiments
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Model 5: Quasi Experiments 3109683  
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    Design & Analysis | Dr. Coady Wing Design & Analysis | Dr. Coady Wing
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    Ethical Issues | Dr. Greg Pavela Ethical Issues | Dr. Greg Pavela
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    Quasi-Experiments – Real World Case Studies | Dr. Nir Menachemi Quasi-Experiments – Real World Case Studies | Dr. Nir Menachemi
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Module 6: Natural Experiments

Module 6: Natural Experiments
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Module 6: Natural Experiments 3109684  
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    The Role of Natural Experiments in Public Health Decision Making | Dr. Christina Ludema The Role of Natural Experiments in Public Health Decision Making | Dr. Christina Ludema
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    Study Design and Practical Applications of Natural Experiments in Public Health | Dr. David Redden Study Design and Practical Applications of Natural Experiments in Public Health | Dr. David Redden
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    Analysis | Dr. Bisakha Sen Analysis | Dr. Bisakha Sen
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    Packet Randomized Experiments: Adoption Example | Dr. Greg Pavela Packet Randomized Experiments: Adoption Example | Dr. Greg Pavela
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Module 7: Genetically Informed Designs – Unmeasured Genotype Approaches

Module 7: Genetically Informed Designs – Unmeasured Genotype Approaches
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Module 7: Genetically Informed Designs – Unmeasured Genotype Approaches 3109685  
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    Co-Twin and Sibling Control Designs | Dr. Matt McGue Co-Twin and Sibling Control Designs | Dr. Matt McGue
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    Structural Equation Modeling of Twin and Family Data to Assess Causal Effects | Dr. Michael Neale Structural Equation Modeling of Twin and Family Data to Assess Causal Effects | Dr. Michael Neale
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    Ethical Considerations: Studying Behavioral Phenotypes in Weight-Discordant Siblings | Dr. Tanja Kral Ethical Considerations: Studying Behavioral Phenotypes in Weight-Discordant Siblings | Dr. Tanja Kral
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Module 8: Genetically Informed Designs – Measured Genotype Approaches

Module 8: Genetically Informed Designs – Measured Genotype Approaches
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    Methodological Issues in Testing for Gene by Environment or Gene by Behavior Interaction | Dr. Ruth Loos Methodological Issues in Testing for Gene by Environment or Gene by Behavior Interaction | Dr. Ruth Loos
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    Social, Behavioral, and Ethical Issues | Dr. Jody Madeira Social, Behavioral, and Ethical Issues | Dr. Jody Madeira
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    Real World Case Studies – Causal Inference and Counterfactuals in Obesity Research: Obesity and the Gut Microbiome | Dr. Lee Kaplan Real World Case Studies – Causal Inference and Counterfactuals in Obesity Research: Obesity and the Gut Microbiome | Dr. Lee Kaplan
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Module 9: Mediating and Moderating Variables

Module 9: Mediating and Moderating Variables
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Module 9: Mediating and Moderating Variables 3109687  
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    Conceptual Models (the Mediator-Moderator Distinction, Environmental, Behavioral, Psychological, and Molecular Mediators and Moderators) | Dr. David Redden Conceptual Models (the Mediator-Moderator Distinction, Environmental, Behavioral, Psychological, and Molecular Mediators and Moderators) | Dr. David Redden
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    Testing in Structural Equation Models | Dr. Michael Neale Testing in Structural Equation Models | Dr. Michael Neale
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