EPI 203: Epidemiologic Methods I (Fall 2021)
Section outline
-
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
-
Watch 2021 Media Resource
-
Watch 2021 Media Resource
-
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
-
Vandenbroucke JP. Prospective vs retrospective: What's in a name? BMJ 302: 249-250, 1991 File
-
Vandenbroucke JP and Pearce N. Case control studies: Basic Concepts. International Journal of Epidemiology 41: 1480-1489, 2012 File
-
Hernan MA and Robins JM. Using big data to emulate a randomized trial. American Journal of Epidemiology 183:758-764, 2016 File
-
Morgenstern H. Ecologic Studies. In Rothman KJ, Greenland S and Lash TL. Modern Epidemiology. Lippincott Williams & Wilkins. 511-531, 2008. File
-
Problem Set 1 Study Design Answer Key 2021 File
-
Problem Set 1 Study Design Answer Key 2021 File
-
Drop-in Help
Course faculty are available to address questions
Location (Access restricted to registered students): Zoom URL
-
Tuesday, September 21, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
Fall 2021 EPI 203 Small Groups (Zoom link included) **UPDATED 9/21** File
-
-
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
-
Watch 2021 URL
-
Watch 2021 Media Resource
-
Tapia Granados JA. On the terminology and dimensions of incidence. J Clin Epi 50:891-897, 1997. File
-
Kaplan EL and Meier P. Nonparametric estimation from incomplete observations. J. American Stat. Assoc. 282: 457-481, 1958 File
-
Rich JT et al. A practical guide to understanding Kaplan-Meier curves. Otolaryngol. Head Neck Surg. 143:331-336, 2010. File
-
Rothman K. Measuring disease occurrence and causal effects. In: Epidemiology: An Introduction. Oxford Press, 2012. pgs:pg 38-56. File
-
Problem Set 2 Disease Occurrence I Answer Key 2021 File
-
Problem Set 2 Disease Occurrence I Answer Key 2021 File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Tuesday, September 28, 2021 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
Tuesday, September 28, 2021; 3:15 PM - 4:15 PM (Times and dates for Uganda or Brazil sessions may differ)
Journal Club
Application of concepts learned in the course to date in the critical dissection of an article in the applied literature
Faculty: Michelle DeVost, Trisha Hue, Kerstin Kolodzie, and Jeff Martin in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Remain in same Zoom URL or physical room as preceding Small Group
-
Ondrusova and Ondrus. Epidemiology and treatment delay in testicular cancer patients: a retrospective study. Int Urol Nephrol 40:143-148, 2008 File
-
Rothman K. Writing for Epidemiology. Epidemiology 9:333-337, 1998. File
-
Gopen GD and Swan JA. The science of scientific writing. American Scientist 78:550-558, 1990. File
-
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-
Watch 2021 URL
-
Watch 2021 Media Resource
-
Satagopan et al. A note on competing risks in survival data analysis. Brit J Cancer 91:1229-1235, 2004. File
-
Vandenbroucke JP and Pearce N. Incidence rates in dynamic populations IJE 41: 1472-1479, 2012. File
-
Tager, IB. Outcomes in cohort studies. Epidemiol Rev 20:15-28, 1998. File
-
Grunkemeier et al. Actual and actuarial probabilities of competing risks: Apples and lemons. Ann Thoracic Surg 83:1586-1592, 2007. File
-
Koller et al. Competing risks and the clinical community. Statistics in Medicine 31:1089-1097, 2012. File
-
Problem Set 3 Disease Occurrence II Answer Key 2021 File
-
Problem Set 3 Disease Occurrence II Answer Key 2021 File
-
Problem Set 3 Disease Occurrence II Answer Key 2021 File
-
Drop-in Help
Course faculty are available to address questions
Location (Access restricted to registered students): Zoom URL
-
Tuesday October 5, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
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
-
Watch 2021 URL
-
Watch 2021 Media Resource
-
Cummings P. The relative merits of risk ratios and odds ratios. Arch Pediatr Adolesc Med. 163:438-445, 2009. File
-
Norton et al Computing adjusted risk ratios and risk differences in Stata Stata Journal 13: 492–509, 2013 File
-
Poole C. On the origin of risk relativism. Epidemiology 21:3-9, 2010. File
-
Andersen et al. Competing risks in epidemiology. Internation Journal of Epidemiology 41:861-870, 2012. File
-
Bland JM and Altman DG. The logrank test. BMJ 328:1073, 2004. File
-
Hernan M. The hazards of hazard ratios. Epidemiology 21:13-25, 2010 File
-
Stensrud et al. Limitations of hazard ratios in clinical trials. European Heart Journal 40:1378-1383, 2019 File
-
Greenland Noncollapsibility confounding and sparse-data bias Part 1 JCE 2021 File
-
Greenland Noncollapsibility confounding and sparse-data bias Part 2 JCE 2021 File
-
Problem Set 4 Disease Association I 2021 Answer Key File
-
Problem Set 4 Disease Association I 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
Location (Access restricted to registered students): Zoom URL
-
Watch Media Resource
-
-
Tuesday, October 12, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
Tuesday, October 12, 2021; 3:15 PM - 4:15 PM (Times and dates for Uganda or Brazil sessions may differ)
Journal Club
Application of concepts learned in the course to date in the critical dissection of an article in the applied literature
Faculty: Michelle DeVost, Trisha Hue, Kerstin Kolodzie, and Jeff Martin in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Remain in same Zoom URL or physical room as preceding Small Group
-
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
-
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; sufficient-component cause model of disease; measures of attribution: attribution among exposed vs attribution in an overall population.
Faculty: Ann Schwartz
-
Watch 2021 URL
-
Watch 2021 Media Resource
-
Greenland S and Robins JM. Conceptual problems in the definition and interpretation of attributable fractions. American Journal of Epidemiology 128:1185-1197, 1988. File
-
Rockhill B, Newman B, and Weinberg C. Use and misuse of population attributable fractions. American Journal of Public Health 88:15-19, 1998. File
-
Rothman KJ. Causes. Am J Epi 104:587-592, 1976. File
-
Rothman KJ and Greenland S. Causation and causal inference in epidemiology. AJPH 95:5145-5150, 2005. File
-
Problem Set 5 Disease Association II Answer Key 2021 File
-
Problem Set 5 Disease Association II Answer Key 2021 File
-
Drop-in Help
Course faculty are available to address questions
Location (Access restricted to registered students): Zoom URL
-
Watch Media Resource
-
-
Tuesday, October 19, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
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
-
Watch 2021 Media Resource
-
Stovitz SD et al. Paediatric obesity appears to lower the risk of diabetes if selection bias is ignored. J Epidemiol Community Health 72:302–308, 2018 File
-
Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology. 15:615-25, 2004. File
-
Robinson et al. Systematic review identifies number of stategies important for retaining study participants. J Clin Epi 60:757-765, 2007. File
-
Cole et al. Illustrating bias due to conditioning on a collider. International Journal of Epidemiology 39:417-420, 2010. File
-
Schwartz S et al. Toward a clarification of the taxonomy of bias in Epidemiology textbooks. Epidemiology 26:216-222, 2015. File
-
Hernan MA. Selection bias without colliders Am J Epidemiol. 185:1048–1050, 2017. File
-
Westreich et al Target validty and hierarchy of study designs American J Epi 2019 File
-
Problem Set 6 Selection Bias 2021 Answer Key File
-
Problem Set 6 Selection Bias 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Watch 2020 Media Resource
-
-
Tuesday, October 26, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
Tuesday, October 26, 2021; 3:15 PM - 4:15 PM (Times and dates for Uganda or Brazil sessions may differ)
Journal Club
Application of concepts learned in the course to date in the critical dissection of an article in the applied literature
Faculty: Michelle DeVost, Trisha Hue, Kerstin Kolodzie, and Jeff Martin in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Remain in same Zoom URL or physical room as preceding Small Group
-
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
-
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
-
Watch_Understanding_Measurement 2021 URL
-
Watch 2021 Media Resource
-
Bland and Altman. Measurement error. BMJ 313:744, 1996. File
-
Bland and Altman. Measurement error proportional to the mean. BMJ 313:106, 1996. File
-
Bland and Altman. Measurement error and correlation coefficients. BMJ 313:41-42, 1996 File
-
Bland and Altman. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 307-310, 1986. File
-
Bland and Altman. Applying the right statistics: analyses of measurement studies. Ultrasound Obstet Gynecol 22: 85-93, 2003. File
-
Streiner DL, Norman GR and Cairney J (2015), Health Measurement Scales: A practical guide to their development and use. 5th ed. Oxford, U.K.: Oxford University Press. Chapter 10: 227-240 File
-
Weir, JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. JSCR 19:231-240, 2005. File
-
Problem Set 7 Understanding Measurement 2021 Answer Key File
-
Problem Set 7 Understanding Measurement 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Watch 2020 Media Resource
-
-
Tuesday, November 2, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
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 variablesFaculty: Amanda Irish and Jeffrey Martin
-
Watch 2021 URL
-
Watch 2021 Media Resource
-
van Smeden M, Lash TL and Groenwold RHH Five Myths About Measurement Error Int J Epi 2020 File
-
Brooks et al. The impact of joint misclassification of exposures and outcomes on the results of epidemiologic research. Current Epidemiology Reports 5:166-174, 2018. File
-
Jurek, AM et al. Proper interpretation of non-differential misclassification effects. J Epid 34:680-687, 2005. File
-
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
-
Hernan and Cole. Causal diagrams and measurement bias. AJE 170:959-962, 2009. File
-
Kristensen P. Bias from nondifferential but dependent misclassification of exposure and outcome. Epidemiology 3:210-215, 1992. File
-
Orsini et al. A tool for sensitivity analysis of epi studies Stata Jrnl 8:29-48, 2008. File
-
Fox M et al. Excel spreadsheet calculator from Chapter 6 of Applying Quantitative Bias Analysis to Epidemiologic Data. Springer 2009. File
-
Lash et al. Good practices for quantitative bias analysis Int J Epidemiology 43:1969-1985, 2014. File
-
Problem Set 8 Measurement Bias 2021 Answer Key File
-
Problem Set 8 Measurement Bias 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Watch 2020 Media Resource
-
-
Tuesday, November 9, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
Tuesday, November 9, 2021; 3:15 PM - 4:15 PM (Times and dates for Uganda or Brazil sessions may differ)
Journal Club
Application of concepts learned in the course to date in the critical dissection of an article in the applied literature
Faculty: Michelle DeVost, Trisha Hue, Kerstin Kolodzie, and Jeff Martin in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Remain in same Zoom URL or physical room as preceding Small Group
-
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
-
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
-
Watch 2021 URL
-
Watch 2021 (Part 1) Media Resource
-
Watch 2021 Part 2 Media Resource
-
Digitale et al. Tutorial on directed acyclic graphs. J Clin Epi 2021 File
-
Hernan MA et al. Causal knowledge as a prerequisite for confounder evaluation. AJE 156:176-184, 2002. File
-
Greenland Pearl Robins. Causal diagrams for epidemiologic research. Epidemiology 10:37-48,1999. File
-
Cole S, Hernan M. Fallibility in estimating direct effects. IJE 31:163-165, 2002. File
-
Maldonado G and Greenland S. Estimating causal effects. Int J Epi 31:422-429, 2002. File
-
Richiardi L et al. Mediation analysis in epidemiology IJE 42:1511-1519, 2013 File
-
Suzuki E et al. Causal Diagrams: Pitfalls and Tips. J of Epi 30:153-162, 2020. File
-
Problem Set 9 Confounding and Interaction I 2021 Answer Key File
-
Problem Set 9 Confounding and Interaction I 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Watch 2020 Media Resource
-
-
Tuesday, November 16, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
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
-
Watch URL
-
Watch 2021 Media Resource
-
VanderWeele TJ and Robins JM. Four types of effect modification: A classification based on directed acyclic graphs. Epidemiology 18: 561-568, 2007. File
-
Knol MJ et al. When one depends on the other: Reporting of interaction. Epidemiology 20:161-166, 2009. File
-
Knol MJ and VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. International Journal of Epidemiology 41:514-520, 2012. File
-
VanderWeele and Knol. Tutorial on interaction. Epidemiol Methods 3:33-72, 2014. File
-
Lousdal ML. An Introduction to instrumental variable assumptions, validation and estimation. Emerging Theme Epid 15: 2018 File
-
Problem Set 10 Confounding and Interaction II 2021 Answer Key File
-
Problem Set 10 Confounding and Interaction II 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Watch 2020 Media Resource
-
-
Tuesday, November 30, 2021; 1:30 PM - 3:00 PM (Times and dates for Uganda or Brazil sessions may differ)
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL
-
Tuesday, November 30, 2021; 3:15 PM - 4:15 PM (Times and dates for Uganda or Brazil sessions may differ)
Journal Club
Application of concepts learned in the course to date in the critical dissection of an article in the applied literature
Faculty: Michelle DeVost, Trisha Hue, Kerstin Kolodzie, and Jeff Martin in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Remain in same Zoom URL or physical room as preceding Small Group
-
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
-
Lunnetta KL. Genetic association studies. Circulation 118:96-101, 2008. File
-
Holliday EG et al. Advanced topics in prognosis: How to use an article about genetic association. JAMA evidence 21.1-431-456, 2009. File
-
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
-
Watch 2021 URL
-
Watch 2021 Media Resource
-
Shrier I and Platt R. Reducing bias through directed acyclic graphs. BMC Medical Research Methodology 8:70, 2008. File
-
Suarez D et al. Differences between marginal structural models and conventional models in their exposure effect estimates. Epidemiology 22: 586-588, 2011. File
-
Greenland S and Pearce N Statistical Foundations for Model Based Adjustments Ann Rev Pub Health 2015 File
-
Myers et al Effects of adjusting for instrumental variables on bias and precision of effect estimates AJE 174 11 1213 2011 File
-
VanderWeele et al Sensitivity Analysis Obs Research E-Value Ann Intern Med 2017 File
-
Problem Set 11 Confounding and Interaction III 2021 Answer Key File
-
Problem Set 11 Confounding and Interaction III 2021 Answer Key File
-
Drop-in Help
Course faculty are available to address questions
LLocation (Access restricted to registered students): Zoom URL
-
Watch 2020 Media Resource
-
-
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: Zoom
-
Watch 2021 Media Resource
-
Wakefield et al. Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. Lancet. 351:637–41, 1998 File
-
Porter J and Jick H Addiction rare in patients treated iwth narcotics NEJM 1980 File
-
Von Elm et al. The strengthening the reporting of observational studies. Lancet 370-1453-1457, 2007 File
-
Vandenbroucke et al. Strenthening the reporting of observational. PLoS Medicine 4-e297, 2007 File
-
Final Exam File
-
Yaggi et al. Obstuctive sleep apnea as a risk factor for stroke and death. NEJM 353:2034-41, 2005. File
-
Small Group Discussion (see Roster for your section assignment)
Review of prior lecture and problem set
Faculty: Ekaterina Chirikova, Michelle DeVost, Priscilla Espinosa Tamez, Sirena Gutierrez, Trisha Hue, Leah Koenig, Kerstin Kolodzie, Carmen Lee, Jeff Martin, Ekaterina Protsenko in San Francisco; Vivian Avelino-Silva in Brazil; and Aggrey Semeere in Uganda
Location (Access restricted to registered students): Zoom URL

