Section outline

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  • Thursday, January 10, 2019; 1:15 PM - 3:00 PM

    Lecture: Introduction, Scientific Process, Study Design (COH & RCT)

    Introduction to the course, discussion of the “life of research study” and tips for writing articles and proposals, strengths and limitations of randomized clinical trials, similarities and differences between components of randomized clinical trials and observational studies, and conditions under which observational cohorts can emulate a “target trial” and support causal inference. 

    Faculty:  June Chan

    Location:      Mission Hall 1407

    • Prospectus:

    • Introduction to EPI 207, Winter 2019 File
      Uploaded 01/8/19, 11:19
    • 190103 Intro 2019 Epid II FINAL File

    • Session Slides:

    • 1 Intro Coh EPID Methods II 2019 File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Required Reading:

      Rothman, Greenland and Lash 2008 (RGL), Modern Epidemiology, Ch. 6 (focus on RCT and COH) & skim Chapter 7. Please note, RGL Chapter 7 will also be assigned for a future lecture on Person Time/Bias in Cohorts.

    • Lawson KA. Multivitamin Use and Risk of Prostate cancer in the National Institutes of Health-AARP Diet and Health Study. JNCI 99:754-764, 2007 File
      Not available unless: Your ID number contains 02

    • Assignment:

    • HW 1 Intro Coh HW Questions to Post File

    • Assignment Due Date: January 17, 2019 at the beginning of Small Group Section

    • Week #1 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

    • AARP diet questionnaire baseline - supplemental FYI only File
    • HW1 article _Lawson MV and PC JNCI 2007 (with comments) File

  • Thursday, January 17, 2019 1:15 PM - 3:00 PM

    Lecture: Person-time and Bias in Cohorts (Pre-recorded; view on own)

    Fixed vs. open cohorts; the dynamic allocation of person-time in longitudinal cohorts; patient or survivor cohorts; particular bias issues discussed in the setting of patient cohorts (including selection bias, immortal-person time bias, measurement error bias, confounding by indication, and residual confounding); and how emulation of a target trial may help avoid some of these biases.

    Faculty: June Chan

  • Thursday, January 17, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: Cohort 
    Review of prior lecture and problem set 

    Faculty:  June Chan, Monica Ospina Romero

    Location:  Mission Hall 1407

  • Thursday, January 24, 2019 1:15 PM-3:00PM

    Lecture: Causal Inference (Pre-recorded; view on own)

    Historical perspectives on causal inference in science generally; different models/heuristics for causal inference in epidemiology specifically.

    Faculty:  June Chan

    • Session slides:

    • Causal Inference Part 1 Intro and Theories EPI207 FINAL File
    • Causal Inference Part 2 BHill EPI207 FINAL File
    • Causal Inference Part 3 Rothman EPI207 FINAL File
    • Causal Inference Part 4 Counterfactual EPI207 FINAL File
    • Extra_Positivity & Consistency Revisited_fr Small Group 2018 File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Required Reading:

      Ch. 2 Rothman/Greenland/Lash

    • Article to read for HW2 Jain et al JAMA 2015 File
      Not available unless: You belong to Registered Students Only

    • Optional Reading:

      Chapter 1, Hernán & Robins.

    • Fedak KM. Applying the Bradford Hill criteria in the 21st century: how data integration has changed causal inference in molecular epidemiology. Emerg Themes Epidemiol. 12:14:1-9, 2015 File
      Not available unless: Your ID number contains 02
    • VanderWeele TJ. Invited Commentary: The Continuing Need for Suggicient cause Model Today. AJE 185:11:1041-1043,2017 File
      Not available unless: Your ID number contains 02

    • Assignment:

    • HW 3 Causal Inf Ques to POST with Updated point allocation File

    • Assignment Due Date: January 31, 2019 at the beginning of Small Group Section

    • Week #3 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

  • Thursday, January 24, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: Bias
    Review of prior lecture and problem set 

    Faculty:  June Chan, Monica Ospina Romero

    Location:  Mission Hall 1407

  • Monday, January 28, 2019; 2:15 PM - 3:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: June Chan

    Location:  MH-2600

     

  • Wednesday, January 30, 2019; 1:00 PM - 2:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Francois Rerolle

    Location:  MB2500

     

  • Thursday, January 31, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: Causal Inference
    Review of prior lecture and problem set 

    Faculty:  June Chan, Francois Rerolle

    Location:  Mission Hall 1407

  • Tuesday, February 5, 2019; 1:00 PM - 2:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: June Chan

    Location:  MH-2800

     

  • Wednesday, February 6, 2019; 11:00 AM - 12:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Monica Ospina Romero

    Location:  MH-2600

     

  • Thursday, February 7, 2019; 1:15 PM - 3:00 PM

    Live Lecture: DAGS

    We will review how to draw and use Directed Acyclic Graphs.  This will cover applying the d-separation rule, identifying sufficient and minimally sufficient sets, and DAGs to represent common biases in epidemiology.  We will consider representations of alternative study designs and how these representations help identify potential design problems.  Finally, we will discuss limitations of DAGs and controversies about the usefulness of DAGs.

    Faculty:  Maria Glymour

    Location:      Mission Hall 1407

    • Session Slides:

    • Epi 207 Intro to DAGs slides 2019 File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Required Reading:

      Modern Epidemiology 3rd edition. Chapter 12. Causal Diagrams.

      Thorpe Jr, R.J., Szanton, S.L., Bell, C.N. and Whitfield, K.E., 2016. Education, income and disability in African Americans. Ethnicity & disease, 23(1), pp.12-17.

    • Optional Reading:

      "Using Causal Diagrams to Understand Common Problems in Social Epidemiology", M Glymour.  chapter 18 in Methods in Social Epidemiology, 2nd edn. (2017) Oakes and Kaufman eds. Wiley  (This is an updated and somewhat friendlier version of the chapter in Modern Epi).

      Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. American journal of epidemiology. 2005 Aug 1;162(3):267-78. (This is an illustration of a particular problem that could helpfully be represented with DAGs)

      Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004 Sep 1;15(5):615-25. (This was a very influential paper that reconceptualized how we think about selection bias).

      VanderWeele TJ, Hernán MA. Results on differential and dependent measurement error of the exposure and the outcome using signed directed acyclic graphs. American journal of epidemiology. 2012 May 8;175(12):1303-10.



    • Altman DG. How to obtain the P value from a confidence interval. BMJ, 2011;343:d2304 File
      Not available unless: Your ID number contains 02

    • Assignment

    • Hw DAGsv7_2019_final_QUESTION_ONLY File
    • Dataset for HW4 File

    • Assignment Due Date: February 21, 2019 at the beginning of Small Group Section

    • Week #4 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

  • Wednesday, February 13, 2019; 11:00 AM - 12:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Monica Ospina Romero

    Location:  MH-2600

     

  • Thursday, February 14, 2019; 1:15 PM - 3:00 PM

    Live Lecture: Quantitative Bias Analysis (QBA) 

    The focus of this workshop is methods for conducting quantitative bias analysis in epidemiologic research. We will first provide a brief introduction to confounding, information bias, and selection bias using causal diagrams. Next, we will discuss deterministic and probabilistic bias analysis. Dr. Mayeda will discuss examples of specific biases in her own work on determinants of cognitive decline in older adults. At the end of the workshop, participants should walk away with an understanding of the motivations behind quantitative bias analysis and how to use tools for conducting quantitative bias analysis.

    Please RSVP to event: https://bit.ly/2FrT8rt

    Faculty:  Elizabeth Rose Mayeda

    Location:  Mission Hall 1401


    • Session Slides:

    • QBA session slides Dr. Mayeda File
    • QBA session Slides Dr. Mayeda Part 2. File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Required Reading:

      Orsini, N., Bellocco, R., Bottai, M., Wolk, A. and Greenland, S., 2008. A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies. Stata Journal, 8(1), pp.29-48.



    • Orsini article for QBA HW File
      Not available unless: Your ID number contains 02

    • Optional Reading:


    • Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15(5):615-625. File
      Not available unless: Your ID number contains 02
    • Fox MP, Lash TL, Greenland S. A method to automate probabilistic sensitivity analyses of misclassified binary variables. International journal of epidemiology. 2005;34(6):1370-1376. File
      Not available unless: Your ID number contains 02
    • Last TL, et al. Good practices for quantitative bias analysis. International Journal of Epidemiology. 2014;43(6):1969-1985. File
      Not available unless: Your ID number contains 02
    • Mayeda ER, et al. A simulation platform for quantifying survival bias: an application to research on determinants of cognitive decline. American Journal of Epidemiology. 2016 Sep 1;184(5):378-87. File
      Not available unless: Your ID number contains 02
    • Mayeda ER, et al. Does selective survival prior to study enrolment attenuate estimated effects of education on rate of cognitive decline in older adults? A simulation approach for quantifying survival bias in life course epidemiology. File
      Not available unless: Your ID number contains 02
    • Mayeda ER, et al. Can survival bias explain the age attenuation of racial inequalities in stroke incidence? A simulation study. Epidemiology. 2018 Jul;29(4):525-532. File
      Not available unless: Your ID number contains 02

    • Assignment:

    • QBA HW v5 QUESTIONS ONLY 2019 final File

    • Assignment Due Date: February 28, 2019 at the beginning of Small Group Section

    • Week #5 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

  • Wednesday, February 20, 2019; 12:00 PM - 1:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Francois Rerolle

    Location:  MH-2500

     

  • Thursday, February 21, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: DAGS
    Review of prior lecture and problem set 

    Faculty:  Maria Glymour, Francois Rerolle

    Location:  Mission Hall 1407

  • Wednesday, February 27, 2019; 12:00 PM - 1:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Francois Rerolle

    Location:  MH-2500

     

  • Thursday, February 28, 2019 1:15 PM - 3:00 PM

    Lecture: Effect Modification & Interaction (Pre-recorded; view on own)

    Faculty: June Chan

    • Session Slides:

    • Part 1 Intro Interaction EffMod winter 2019 File
    • Part 2a rec Model Coeff Interaction EffMod File
    • Part 2b rec Model Coeff Interaction EffMod File
    • Part3 NOT Recorded EffMod winter 2019 File
    • Part4 rec Presenting EffMod winter 2019 REDO 190227 File
    • Part5 rec Interaction EffMod winter 2019 File
    • Part6 Appendix NOT Recorded Interaction EffMod winter 2019 File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Part 1 Intro Interaction EffMod winter 2019 Media Resource
    • Part 2a_rec_Model Coeff_Interaction EffMod v2 Media Resource
    • Part 2b_rec_Model Coeff_Interaction EffMod v2 Media Resource
    • Part4 rec Presenting EffMod winter 2019 REDO 190227 Media Resource
    • Part5 rec Interaction EffMod winter 2019 v2 Media Resource

    • Required Reading:

           

      VandeerWeele & Knol, “A Tutorial on Interaction”, Epidemiol Methods 2014, PART 1 (part 2 is optional) 

      Chapter 5, p. 71-76 (the rest of the chapter is optional) Rothman/Greenland/Lash 2008, Modern Epidemiology 3rd edition

      Turner MC et al, “Interactions between cigarette smoking and fine particulate matter in the Risk of Lung Cancer Mortality in Cancer Prevention Study II.”AJE 2014. You may focus on reviewing the Background, Methods and Table 2; skim the rest as needed. https://www.ncbi.nlm.nih.gov/pubmed/25395026

    • VanderWeele.InteractionTutorial 2014 clean to post File
      Not available unless: Your ID number contains 02
    • Turner et al AJE 2014 Week 6 Interaction File
      Not available unless: Your ID number contains 02

    • Optional Reading:

      Hernan & Robins, 4.1-4.3 and 5.1-5.3


    • Knol et al Int J Epid 2007 Interaction on Additive Scale File
      Not available unless: Your ID number contains 02

    • Assignment:

    • HW 6 Effect Modification & Interaction Assignment UPDATED v2 File
    • Dataset for HW6 File

    • Assignment Due Date: March 7, 2019, before 1:15 pm

    • Week #6 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

  • Thursday, February 28, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: QBA
    Review of prior lecture and problem set 

    Faculty:  June Chan, Francois Rerolle

    Location:  Mission Hall 1407

  • Tuesday, March 5, 2019; 5:00 PM - 6:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Monica Ospina Romero

    Location:  MH-2500

     

  • Thursday, March 7, 2019; 1:15 PM - 3:00 PM

    Lecture: Matching in Observational Studies (Pre-recorded; view on own)

    This lecture will review matching, including the purpose of matching, matching in cohort and case-control studies.


    Faculty:  Erin Van Blarigan

    Location:  View on own

    • Session Slides:

    • VanBlarigan CaCo and Matching 2018 Share File
    • Extra slide for Matching that goes with timepoint 15:10 File

    • Session Audio/Video Recording (Access restricted to registered students):

    • Required Reading:

           Chapter 8 AND pages 171-182 (optional 283-288). Rothman/Greenland/Lash, 2008, 3rd edition, Case-Control Studies

            Poynter JN, Gruber SB, Higgins PD, Almog R, Bonner JD, Rennert HS, Low M, Greenson JK, Rennert G. Statins and the risk of colorectal cancer. N Engl J Med. 2005 May, PubMed PMID: 15917383. https://www.ncbi.nlm.nih.gov/pubmed/?term=15917383


    • Optional Reading:

    • Hernan IJE 2013 Matching and Causal Diagrams File
      Not available unless: Your ID number contains 02
    • Pearce 2016bmj matching File
      Not available unless: Your ID number contains 02

    • Assignment:

    • HW 7 Assignment Matching File

    • Assignment Due Date: March 14, 2019 at the beginning of Small Group Section


    • Week #7 Homework Submission Assignment

    • Assignment Answer Key (access restricted to registered students):

  • Thursday, March 7, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: Effect Modification & Interaction
    Review of prior lecture and problem set 

    Faculty:  June Chan, Monica Ospina Romero

    Location:  Mission Hall 1407

  • Monday, March 11, 2019; 1:30 PM - 2:30 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: June Chan

    Location:  MH-2800

     

  • Tuesday, March 12, 2019; 5:00 PM - 6:00 PM

    Office Hours
    Course faculty are available to address questions on course content including prior problem sets.

    Faculty: Monica Ospina Romero

    Location:  MH-2500

     

  • Thursday, March 14, 2019; 1:15 PM - 3:00 PM

    Small Group Discussion Section: Effect Matching/Case-Control
    Review of prior lecture and problem set 

    Faculty:  June Chan, Monica Ospina Romero

    Location:  Mission Hall 1407

  • Thursday, March 14, 2019;1:15 PM - 3:00 PM Take-home Final Exam

    • Required Readings:

    • Satia et al AJE 2009 BetaCarotene and Lung CA in VITAL File
      Not available unless: You belong to Registered Students Only
    • RIVUR Dataset for Q12_13_14 FINAL Exam File
      Not available unless: You belong to Registered Students Only
    • Jain et al MMR and ASD Supplemental Content JAMA 2015 File
      Not available unless: You belong to Registered Students Only
    • Wallis et al 2017 BMJ Comparison of post op outcomes File
      Not available unless: You belong to Registered Students Only
    • Take-Home Exam Assignment:
    • 2019 Final Exam due March_21_2019_1159PM File
      Not available unless: You belong to Registered Students Only

    • Final Exam Due Date: March 21, 2019 by 11:59 PM (23:59)

    • Final Exam submission Assignment