Section outline

  • Lecture: Course Introduction; Study Design
    Distinction between designs where the unit of observation is a group of individuals vs. the individual; ecologic fallacy; types of studies with observations on the individual; cohort study as gold standard of observational designs; concept of study base linking cohort, cross-sectional and case-control designs; and design of observational research to emulate a target randomized trial.

    Faculty:  Jeffrey Martin and Ann Schwartz

    Location:  Mission Hall 1400

    • Prospectus:

    • Session Slides:

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

    • Recommended Reading:

    •  S & N: Ch. 1, p. 3 – 32.
    • Wachholder, S. Selection of controls in case-control studies. Am J Epidemiol 135:1019 – 1028, 1992. Focus on “Study Base Principle” p. 1021 - 1024. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Vandenbroucke JP. Prospective vs retrospective: What's in a name? BMJ 302: 249-250, 1991 File
      Not available unless: Your ID number contains 02
    • Vandenbroucke JP and Pearce N. Case control studies: Basic Concepts. International Journal of Epidemiology 41: 1480-1489, 2012 File
      Not available unless: Your ID number contains 02
    • Hernan MA and Robins JM. Using big data to emulate a randomized trial. American Journal of Epidemiology 183:758-764, 2016 File
      Not available unless: Your ID number contains 02
    • Assignment:  Problem Set 1

    • Assignment Due Date:  September 20, 2016 at the beginning of Small Group Section

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

  • Lecture: Measures of Disease Occurrence I

    Prevalence vs. incidence; the three elements in measuring disease incidence; the concept of a rate; cumulative incidence vs. person-time incidence; concepts of survival analysis—failure time and censoring; calculating cumulative incidence—Kaplan Meier and life-table methods; and assumptions for valid estimates of cumulative incidence.

    Faculty:  Ann Schwartz

    Location:  Mission Hall 1400

    • Prospectus:

    • Session Slides:

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

    • Recommended Reading:

    •   S & N: Ch. 2

    • Tapia Granados JA. On the terminology and dimensions of incidence. J Clin Epi 50:891-897, 1997. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Kaplan EL and Meier P. Nonparametric estimation from incomplete observations. J. American Stat. Assoc. 282: 457-481, 1958 File
      Not available unless: Your ID number contains 02
    • Rothman K. Measuring disease occurrence and causal effects. In: Epidemiology: An Introduction. Oxford Press, 2012. pgs:pg 38-56. File
      Not available unless: Your ID number contains 02
    • Rich JT et al. A practical guide to understanding Kaplan-Meier curves. Otolaryngol. Head Neck Surg. 143:331-336, 2010. File
      Not available unless: Your ID number contains 02
    • Assignment:  Problem Set 2

    • Assignment Due Date:  September 27, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

     

  • Lecture: Measures of Disease Occurrence II
    Person-time incidence rates; rate is not a proportion; average vs instantaneous incidence rates; person-time based on individual-level vs group-level data; unit of person-time in denominator does not matter; uses of rates; stratified person-time exposure in cohort studies; relationship between incidence rate and cumulative incidence via the exponential formula; use of rates in view of competing events; and the Aalen-Johansen estimator of cumulative incidence. 

    Faculty:  Ann Schwartz

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    •   S & N: Ch. 2

    • Satagopan et al. A note on competing risks in survival data analysis. Brit J Cancer 91:1229-1235, 2004. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Vandenbroucke JP and Pearce N. Incidence rates in dynamic populations IJE 41: 1472-1479, 2012. File
      Not available unless: Your ID number contains 02
    • Tager, IB. Outcomes in cohort studies. Epidemiol Rev 20:15-28, 1998. File
      Not available unless: Your ID number contains 02
    • Grunkemeier et al. Actual and actuarial probabilities of competing risks: Apples and lemons. Ann Thoracic Surg 83:1586-1592, 2007. File
      Not available unless: Your ID number contains 02
    • Koller et al. Competing risks and the clinical community. Statistics in Medicine 31:1089-1097, 2012. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 3

    • Assignment Due Date: October 4, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

     

  • Journal Club

    Application of concepts learned in the course to date in the critical dissection of an article in the applied literature

    Faculty:  Trisha Hue, Jeff Martin, Megha Mehrotra, Ann Schwartz, Kristen Aiemjoy (Wednesday), Vivian Avelino-Silva, Aggrey Semeere

    Location:  Students will stay in the rooms of their prior small group sections. Avelino-Silva Online-Brazil, Semeere Online-Uganda

    • Required Reading:

    • Ondrusova and Ondrus. Epidemiology and treatment delay in testicular cancer patients: a retrospective study. Int Urol Nephrol 40:143-148, 2008 File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Rothman K. Writing for Epidemiology. Epidemiology 9:333-337, 1998. File
      Not available unless: Your ID number contains 02
    • Gopen GD and Swan JA. The science of scientific writing. American Scientist 78:550-558, 1990. File
      Not available unless: Your ID number contains 02
    • Assignment Answer Key (Access restricted to registered students):

  • Lecture: Measures of Disease Association I

    Measures of association in cross-sectional and cohort studies; 2 x  2 tables; prevalence ratio and prevalence odds ratio; advantages and disadvantages of odds ratios; risk, rate, and hazard ratios; difference vs ratio measures; describing measures of association

    Faculty:  Ann Schwartz

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    •   S & N: Ch. 3, except sections 3.2.2 and 3.4.2 (i.e., skip attributable risk); Appendix A3 (P. 435 - 438)

    • Optional Reading:

    • Cummings P. The relative merits of risk ratios and odds ratios. Arch Pediatr Adolesc Med. 163:438-445, 2009. File
      Not available unless: Your ID number contains 02
    • Holcomb et al. An odd measure of risk: use and misuse of the odds ratio. Obstet Gynecol 98:685-688, 2001. File
      Not available unless: Your ID number contains 02
    • Cummings P. Methods for estimating adjusted risk ratios. The Stata Journal 9:175-196, 2009. File
      Not available unless: Your ID number contains 02
    • Poole C. On the origin of risk relativism. Epidemiology 21:3-9, 2010. File
      Not available unless: Your ID number contains 02
    • Andersen et al. Competing risks in epidemiology. Internation Journal of Epidemiology 41:861-870, 2012. File
      Not available unless: Your ID number contains 02
    • Bland JM and Altman DG. The logrank test. BMJ 328:1073, 2004. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 4

    • Schwartz et al. Misunderstandings about the effects of race and sex on physicians' referrals for cardiac catheterization. NEJM 341:279 – 283, 1999. File
      Not available unless: Your ID number contains 02
    • Schulman et al. The effect of race and sex on physician's recommendations for cardiac catheterization. NEJM 340:618 – 626, 1999. File
      Not available unless: Your ID number contains 02
    • Assignment Due Date:  October 11, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

     


     
  • Lecture: Measures of Disease Association II and Measures of Attribution

    Measures of association in a case-control study; equivalence of odds ratio to other measures of association depending on control sampling: case-cohort, incidence density, or prevalent; measures of attribution: attribution among exposed vs attribution in an overall population.

    Faculty:  Ann Schwartz

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    • S & N: Ch. 3, including sections 3.2.2 and 3.4.2; Appendix A4 and A5 (p. 438 - 442)

    • Optional Reading:

    • Greenland S and Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. American Journal of Epidemiology 128:1185-1197, 1988. File
      Not available unless: Your ID number contains 02
    • Rockhill B, Newman B, and Weinberg C. Use and misuse of population attributable fractions. American Journal of Public Health 88:15-19, 1998. File
      Not available unless: Your ID number contains 02
    • Rothman KJ and Greenland S. Causation and causal inference in epidemiology. AJPH 95:5145-5150, 2005. File
      Not available unless: Your ID number contains 02
    • Rothman KJ. Causes. Am J Epi 104:587-592, 1976. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 5

    • Assignment Due Date:  October 18, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

     


     
  • Journal Club

    Application of concepts learned in the course to date in the critical dissection of an article in the applied literature


    Faculty:  Trisha Hue, Jeff Martin, Megha Mehrotra, Ann Schwartz, Kristen Aiemjoy (Wednesday), Vivian Avelino-Silva, Aggrey Semeere

    Location:  Students will stay in the rooms of their prior small group sections. Avelino-Silva Online-Brazil, Semeere Online-Uganda

    • Required Reading:

    • Grosso et al. Oral bisphosphonates and risk of atrial fibrillation and flutter in women: A self-controlled case-series safety analysis. PLoS ONE 4:e4720, 2009. File
      Not available unless: Your ID number contains 02
    • Assignment Answer Key (Access restricted to registered students):

  • Lecture: Selection Bias

    Internal vs. external validity; definition and classification of bias; distinguishing bias from random error; spotting and minimizing selection bias in descriptive, cross-sectional, case-control, and longitudinal (e.g., cohorts or trials) studies

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Prospectus:

    • Session Slides:

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

    • Recommended Reading:

    • S & N:  Ch. 4, sections 4.1 - 4.2 (p. 109 - 116) and sections 4.4 - 4.4.2 (p. 133 - 139)

    • Optional Reading:

    • Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 15:615-25, 2004. File
      Not available unless: Your ID number contains 02
    • Robinson et al. Systematic review identifies number of stategies important for retaining study participants. J Clin Epi 60:757-765, 2007. File
      Not available unless: Your ID number contains 02
    • Schwartz S et al. Toward a clarification of the taxonomy of bias in Epidemiology textbooks. Epidemiology 26:216-222, 2015. File
      Not available unless: Your ID number contains 02
    • Cole et al. Illustrating bias due to conditioning on a collider. International Journal of Epidemiology 39:417-420, 2010. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 6

    • Assignment Due Date:  October 25, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

     


     
  • Lecture: Understanding Measurement: Aspects of Reproducibility and Validity

    Distinguishing reproducibility from validity; how reproducibility influences validity; methods of characterizing reproducibility of measurements (within-subject standard deviation, intraclass correlation coefficient,  coefficient of variation); methods of assessment of validity in the presence and absence of gold standards

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    • S & N: Chapter 8 : Sections 8.1 - 8.2 (p. 313 - 315), sections 8.3.1 - 8.3.3 (p. 318 - 328), and section 8.4.2 (p. 348 - 358)

    • Bland and Altman. Measurement error proportional to the mean. BMJ 313:106, 1996. File
      Not available unless: Your ID number contains 02
    • Bland and Altman. Measurement error and correlation coefficients. BMJ 313:41-42, 1996 File
      Not available unless: Your ID number contains 02
    • Bland and Altman. Measurement error. BMJ 313:744, 1996. File
      Not available unless: Your ID number contains 02
    • Mc Dowell and Newell. Measuring Health: A guide to rating scales and questionnaires. Oxford 29-37, 1996. File
      Not available unless: Your ID number contains 02
    • Bland and Altman. Applying the right statistics: analyses of measurement studies. Ultrasound Obstet Gynecol 22: 85-93, 2003. File
      Not available unless: Your ID number contains 02
    • Bland and Altman. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 307-310, 1986. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Weir, JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. JSCR 19:231-240, 2005. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 7

    • Assignment Due Date:  November 1, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

     


     

  • Journal Club

    Application of concepts learned in the course to date in the critical dissection of an article in the applied literature


    Faculty:  Trisha Hue, Jeff Martin, Megha Mehrotra, Ann Schwartz, Kristen Aiemjoy (Wednesday), Vivian Avelino-Silva, Aggrey Semeere

    Location:  Students will stay in the rooms of their prior small group sections. Avelino-Silva Online-Brazil, Semeere Online-Uganda

    • Required Reading:

    • Lane et al. Wnt signaling antagonists are potential prognostic biomarkers for the progression of radiographic hip osteoarthritis in elderly Caucasian women. Arthritis and Rheumatism 56:3319–3325, 2007. File
      Not available unless: Your ID number contains 02
    • Assignment Answer Key (Access restricted to registered students):

  • Lecture: Measurement Bias
    Differential vs non-differential misclassification; independent vs dependent errors;  influence (magnitude and direction of bias) of differential vs. non-differential and independent vs dependent misclassification of exposure, outcome, and confounding variables

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    • S & N:  Ch. 4: sections 4.3-4.3.3 (P. 116-133)

    • Optional Reading:

    • Shahar, E. Causal diagrams for encoding and evaluation of information bias. Journal of Evaluation in Clinical Practice 15: 436-440, 2009. File
      Not available unless: Your ID number contains 02
    • Jurek, AM et al. Proper interpretation of non-differential misclassification effects. J Epid 34:680-687, 2005. File
      Not available unless: Your ID number contains 02
    • Berry et al. Impact of misclassification of in vitro fertilization in studies of folic acid and twinning: modelling using population based Swedish vital records. BMJ 1-3, 2004. File
      Not available unless: Your ID number contains 02
    • Hernan and Cole. Causal diagrams and measurement bias. AJE 170:959-962, 2009. File
      Not available unless: Your ID number contains 02
    • Kristensen P. Bias from nondifferential but dependent misclassification of exposure and outcome. Epidemiology 3:210-215, 1992. File
      Not available unless: Your ID number contains 02
    • Fox M et al. Excel spreadsheet calculator from Chapter 6 of Applying Quantitative Bias Analysis to Epidemiologic Data. Springer 2009. File
      Not available unless: Your ID number contains 02
    • Orsini et al. A tool for sensitivity analysis of epi studies Stata Jrnl 8:29-48, 2008. File
      Not available unless: Your ID number contains 02
    • Lash et al. Good practices for quantitative bias analysis Int J Epidemiology 43:1969-1985, 2014. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 8

    • Assignment Due Date:  November 8, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

  • Lecture: Confounding and Interaction I: General Principles

    Definition and manifestations of confounding; use of counterfactual model to conceptualize origins of confounding; confounding vs confounders; use of directed acyclic graphs (DAGs) to demonstrate and identify confounding and other bias; nuisance causal pathways; importance of defining the research question and understanding the biological system to prevent confounding

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    •   S & N: Ch. 5

    • Jewell, NP. Causal inference and extraneous factors: confounding and interaction. In Statistics for Epidemiology. Chapman and Hall. p. 93-112, 2003. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Hernan M. Causal knowledge. AJE 156:176-184, 2002. File
      Not available unless: Your ID number contains 02
    • Cole S, Hernan M. Fallibility in estimating direct effects. IJE 31:163-165, 2002. File
      Not available unless: Your ID number contains 02
    • Greenland Pearl Robins. Causal diagrams for epidemiologic research. Epidemiology 10:37-48,1999. File
      Not available unless: Your ID number contains 02
    • Maldonado G and Greenland S. Estimating causal effects. Int J Epi 31:422-429, 2002. File
      Not available unless: Your ID number contains 02
    • Richiardi L et al. Mediation analysis in epidemiology IJE 42:1511-1519, 2013 File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 9

    • Assignment Due Date:  November 15, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

  • Journal Club

    Application of concepts learned in the course to date in the critical dissection of an article in the applied literature


    Faculty:  Trisha Hue, Jeff Martin, Megha Mehrotra, Ann Schwartz, Kristen Aiemjoy (Wednesday), Vivian Avelino-Silva, Aggrey Semeere

    Location:  Students will stay in the rooms of their prior small group sections. Avelino-Silva Online-Brazil, Semeere Online-Uganda

    • Required Reading:

    • Rookus M and van Leeuwen FE. Induced abortion and risk for breast cancer. Reporting (recall) bias in a Dutch case-control stduy. Journal of the National Cancer Institute 88:1759-1764, 1996. File
      Not available unless: Your ID number contains 02
    • Assignment Answer Key (Access restricted to registered students):

  • Lecture: Confounding and Interaction II: Concepts of Interaction

    Strategies to minimize confounding; types of interaction; distinguishing interaction from confounding; assessing for interaction; tests of homogeneity; computer implementation

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

    • S & N: Ch. 6 and Ch. 1, section 1.4.5 (p. 33 - 38, section on Matching)

      dagitty.net, an open source browser-based environment for creating, editing, and analyzing directed acyclic graphs

    • Optional Reading:

    • VanderWeele TJ and Robins JM. Four types of effect modification: A classification based on directed acyclic graphs. Epidemiology 18: 561-568, 2007. File
      Not available unless: Your ID number contains 02
    • Knol MJ et al. When one depends on the other: Reporting of interaction. Epidemiology 20:161-166, 2009. File
      Not available unless: Your ID number contains 02
    • Knol MJ and VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. International Journal of Epidemiology 41:514-520, 2012. File
      Not available unless: Your ID number contains 02
    • VanderWeele and Knol. Tutorial on interaction. Epidemiol Methods 3:33-72, 2014. File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 10

    • Assignment Due Date:  November 29, 2016

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

  • Small Group Discussion Section

    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

  •  

  • Lecture: Confounding and Interaction III: Stratified Analysis

    Concept of weighted averages; use of stratification to form adjusted measures; managing multiple confounding paths; software implementation to detect minimally sufficient set for adjustment; limitations of stratification including time-dependent confounding/mediation

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

    • Session Slides:

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

    • Recommended Reading:

      S & N: Ch. 7: sections 7.1 - 7.2.1 (p. 229 - 234) and sections 7.3.3 - 7.3.4 (p. 242 - 248)

      dagitty.net, an open source browser-based environment for creating, editing, and analyzing directed acyclic graphs

    • Optional Reading:

    • Shrier I and Platt W. Reducing bias through directed acyclic graphs. BMC Medical Research Methodology 8:70, 2008. File
      Not available unless: Your ID number contains 02
    • Suarez D et al. Differences between marginal structural models and conventional models in their exposure effect estimates. Epidemiology 22: 586-588, 2011. File
      Not available unless: Your ID number contains 02
    • Greenland S and Pearce N Statistical Foundations for Model Based Adjustments Ann Rev Pub Health 2015 File
      Not available unless: Your ID number contains 02
    • Assignment: Problem Set 11

    • Assignment Due Date:  December 6, 2016

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

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda

  • Journal Club

    Application of concepts learned in the course to date in the critical dissection of an article in the applied literature


    Faculty:  Trisha Hue, Jeff Martin, Megha Mehrotra, Ann Schwartz, Kristen Aiemjoy (Wednesday), Vivian Avelino-Silva, Aggrey Semeere

    Location:  Students will stay in the rooms of their prior small group sections. Avelino-Silva Online-Brazil, Semeere Online-Uganda

    • Required Reading:

    • Nitz et al. Association of prostaglandin E synthase 2 (PTGES2) Arg298His polymorphism with type 2 diabetes in two German study populations. Journal of Clinical Endocrinology & Metabolism 92:3183–3188, 2007. File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Lunnetta KL. Genetic association studies. Circulation 118:96-101, 2008. File
      Not available unless: Your ID number contains 02
    • Holliday EG et al. Advanced topics in prognosis: How to use an article about genetic association. JAMA evidence 21.1-431-456, 2009. File
      Not available unless: Your ID number contains 02
    • Assignment Answer Key (Access restricted to registered students):

  • Journal Club

    Application of concepts learned in the course to date in the critical dissection of an article in the applied literature

    Faculty:  Jeffrey Martin

    Location:  Mission Hall 1400

     

    • Session Slides:

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

    • Required Reading:

    • Madsen, et al. A population-based study of measles, mumps, and rubella vaccination and autism. NEJM 347-1477-82, 2002 File
      Not available unless: Your ID number contains 02
    • Optional Reading:

    • Von Elm et al. The strengthening the reporting of observational studies. Lancet 370-1453-1457, 2007 File
      Not available unless: Your ID number contains 02
    • Vandenbroucke et al. Strenthening the reporting of observational. PLoS Medicine 4-e297, 2007 File
      Not available unless: Your ID number contains 02
    • Assignment: Final Exam

    • Yaggi et al. Obstuctive sleep apnea as a risk factor for stroke and death. NEJM 353:2034-41, 2005. File
      Not available unless: Your ID number contains 02
    • Final Exam Due Date: Dec. 13 at 4 pm (California time) for students taking the course in-person in San Francisco.  For students in the online version of the course, the due date is Dec. 14, 9 pm (California time). Please log into the CLE (course syllabus) to upload your exam at the prompt below.  Please upload your exam as a .pdf file such that all your formatting will be preserved, and place your name in the name of the file.  If you encounter difficulties, email Olivia De Leon (olivia@epi.ucsf.edu).

  • Small Group Discussion Section
    Review of prior lecture and problem set

    Faculty: Stephen Asiimwe, Luis Rodriguez, Michelle Roh, James Salazar, Kristen Aiemjoy, Trisha Hue, Jeff Martin, Megha Mehrotra,  Ann Schwartz, Vivian Avelino-Silva, Aggrey Semeere

    Location:  Asiimwe MH-2105, Rodriguez MH-2106, Roh MH-2107, Salazar MH-2108, Aiemjoy MH-1107 (Wednesday), Avelino-Silva Online-Brazil, Semeere Online-Uganda