Section outline

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  • Monday, March 30, 2015; 10:30 AM - 12:30 PM

    Lecture: Causal Inference in the Context of Observational Data: identifying threats to validity


     

    Faculty:  Maria Glymour

    Location:      Mission Hall 1106

    • Required Reading

       Winship C, Morgan SL. The estimation of causal effects from observational data. Annual Review of Sociology. 1999;25:659-706.

      ONLY NEED TO READ PAGES 659-669: This is an excellent paper but takes a lot of work to get through. 

    • Cook T, Shadish W, Wong V. Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within-study comparisons. Journal of Policy Analysis and Management. 2008;27(4):724-750. File
      Not available unless: Your ID number contains 02
    • Winship C, Morgan SL. The estimation of causal effects from observational data. Annual Review of Sociology. 1999;25:659-706. File
      Not available unless: Your ID number contains 02

    • Optional Reading:

        Cook T, Campbell D, Shadish W. Experimental and quasi-experimental designs for generalized causal inference: Houghton Mifflin; 2002. chapter 2, pg 37-

         

         

      1. Lecture1Observationalv2 File
      2. WelcomeQuiz answers File

    • Monday, April 6, 2015; 10:30 AM - 12:30 PM

      Lecture:  Longitudinal study designs: data sources

       

      Faculty:  Maria Glymour

      Location:        Mission Hall 1106

      • Required Reading:

        1. Wu T. The Atherosclerosis Risk in Communities (ARIC) Study: Design and Objectives. American Journal of Epidemiology. 1989;129(4):687.
        2. Pagidipati and Gaziano. Estimating deaths from cardiovascular disease: a review of global methodologies of mortality measurement.  Circulation. 2013; 127:749.
        3. Pickett KE, Luo Y, Lauderdale DS. Widening social inequalities in risk for sudden infant death syndrome. American Journal of Public Health 2005;95(11): 1976.
        4. Stroud N, Mazwi TML, Case LD, et al. Prestroke physical activity and early functional status after stroke. Journal of Neurology, Neurosurgery & Psychiatry 2009;80(9): 1019.
        5. Lee S, Colditz GA, Berkman LF, Kawachi I. Caregiving and risk of coronary heart disease in US women* 1:: A prospective study. American Journal of Preventive Medicine 2003;24(2): 113-9.
        6. Hauser R, Willis R. Survey design and methodology in the Health and Retirement Study and the Wisconsin Longitudinal Study. Population and Development Review. 2004;30:209-235.  (this is a long article – skim it for key features of study design)
        7. Banks J, et al. Disease and Disadvantage in the United States and England. JAMA 2006; 295 (2037)

      • Assignment: 

        There are a lot of readings here, but most are quite short. Throughout, the goal is to understand the research design, not the specific content of the study.  Prior to class, please post on the course website answers to the following questions:

        >Choose at least 3 distinct data sources (e.g., ARIC, HRS, death certificate data, NHS, etc), and give an example of a research question (e.g., a hypothesis about the effect of a specific exposure ona  specific outcome) you consider the study exceptionally strong to address.   For each, provide an example of a research question you consider the design very weak to address.  Explain why the data source is strong or weak for each question.  Do not just discuss the questions addressed in the readings, think of new questions, preferably things you might be interested in.  This is not supposed to be a commentary related to the substantive questions in the readings: the goal is to focus on the pros and cons of various data sources. For hypotheses each study would not be well equipped to address, if possible describe another study that could address the hypothesis.

      • ARIC Designv2 File
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      • Pagidipati-749-56 File
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      • Pickett Inequalities File
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      • Lee CaregivingCHD File
        Not available unless: Your ID number contains 02
      • Hauser DesignofHRSandWLS File
        Not available unless: Your ID number contains 02
      • Banks DiseaseUSEngland2010 File
        Not available unless: Your ID number contains 02
      • Stroud PreStrokePhysAx File
        Not available unless: Your ID number contains 02
      • Lecture2Longitudinalv3 File
      • Lecture 2 quiz File
      • Lecture 2 quiz answers File

    • Monday, April 13, 2015; 10:30 AM - 12:30 PM

      Lecture:  Clustered Data Arising from Repeated Measures or Contextual Effects
       This lecture will discuss using random effects/multilevel models for repeated measures and neighborhood effects estimation.

      Faculty:  Maria Glymour

      Location:        Mission Hall 1106

      • Required Reading:

        1. Hanley et al., Statistical analysis of correlated data using GEE: an orientation.  Am J Epi 2003 v 157, pg 364. 
        2. Singer, J. D. (1998). "Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models." Journal of Educational and Behavioral Statistics 24(4): 323-355.
        3. Wilson RS, Hebert LE, Scherr PA, Barnes LL, Mendes de Leon CF, Evans DA. Educational attainment and cognitive decline in old age. Neurology. 2009;72(5):460.
        4. Hubbard et al To GEE or not to GEE.  Comparing Population Average and Mixed Models for Estimating ASsociations Between Neighborhood Risk Factors and Health. Epidemiology 2010. 
        5. Arcaya M (2013) "Effects of Proximate Foreclosed Properties on Individuals’ Weight Gain in Massachusetts, 1987–2008"  Am J Public Health
      • Readings File
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      • Hubbard GEE File
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      • Hanley GEE Am. J. Epidemiol.-2003-Hanley-364-75 File
        Not available unless: Your ID number contains 02
      • wilson edn cogDecline File
        Not available unless: Your ID number contains 02
      • Singer MixedMultilevel File
      • Lecture 3 quiz answers File
      • RhovsICCv7 File

    • Monday, April 20, 2015; 10:30 AM - 12:30 PM

      Lecture: Interaction Analysis
       

      Faculty:  Guest Lecture: Dr. Tyler VanderWeele

      Location: TBD: note workshop begins at 9am and runs through 12:30pm.

    • Monday, April 27, 2015; 10:30 AM - 12:30 PM

      Lecture: Evaluating lifecourse determinants of chronic disease in longitudinal data analysis


      Faculty:  Maria Glymour

      Location:        Mission Hall 1106

      • Ben Shlomo Kuh Lifecourse File
        Not available unless: Your ID number contains 02
      • Mishra methods lifecourse File
        Not available unless: Your ID number contains 02
      • Naumova CriticalPeriods File
        Not available unless: Your ID number contains 02
      • Fitzpatrick ObesityDementia File
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      • wilson edn cogDecline File
        Not available unless: Your ID number contains 02
      • Willis LIfecourseBP File
        Not available unless: Your ID number contains 02
      • TakeHomeQuiz1 final File
      • Lecture3ClusteredDatav7 Lifecourse File
      • TakeHomeQuiz1 final answers File

    • Monday, May 4, 2015; 10:30 AM - 12:30 PM

      Lecture:Difference in difference, IV, and regression discontinuity methods
       

      Faculty:  Maria Glymour

      Location:        Mission Hall 1106

      • Shadish Cook File
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      • Brookhart IV CompEffective2010 File
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      • Banks Mazzona 2012-1 File
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      • Glymour CredibleMR File
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      • Ludwig NbhdsObesityDiabetes File
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      • Lecture5 Quasi Natural IV File
      • Appendix Figure File
      • TakeHomeQuiz1 final answers File

    • Monday, May 11, 2015; 10:30 AM - 12:30 PM

      Lecture: Introduction to Targeted Maximum Likelihood Estimation
       

      Faculty:  Kara Rudolph

      Location:        Mission Hall 1106

    • Monday, May 18, 2015; 2pm - 5PM

      Lecture:  Bias Analysis: How to Not Assume What You Don't Know
       

      Faculty:  Sander Greenland

      Location:  TBD: note different time: 2-5pm. 

    • Monday, May 25, 2015; 10:30 AM - 12:30 PM

      Lecture: Evaluating Uncertainty

      Faculty:  Maria Glymour


      Location:        Mission Hall 1106  

      • Ertel FIRST Secondary File
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    • Monday, June 1, 2015; 10:30 AM - 12:30 PM

      Lecture: Sampling: simple, complex, specialized

       

      Faculty:  Maria Glymour

      Location:        Mission Hall 1106

      • Tilling CaptureRecapture File
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