EPI 204: Clinical Epidemiology (Fall 2013)
Section outline
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Lecture: Course overview, the diagnostic process, and measures of interobserver agreement
Introduction to the course and how we will teach it; how the reason for making a diagnosis affects the optimal classification scheme; concordance, unweighted Kappa, linear and quadratic weighted Kappa
Faculty: Tom Newman
Location: China Basin 6702 -
Small Group Discussion Section
Review of Chapter 1 problems and "Kappa Game"Faculty: Felica Chow, Leslie Cockerham, Patti Curl, Misa Perron-Burdick, Joshua Galanter, Norman Hearst, Anthony Kim, Michael Kohn, Tom Newman,
Location: Chow CB 6601, Cockerham CB 5721, Curl CB 6702, Perron-Burdick CB 5759, Kim Online -
Lecture: Dichotomous Tests
Sensitivity, specificity, predictive value, prior and posterior probability; 2x2 table method for getting posterior probability; probability and odds; likelihood ratios, the likelihood ratio slide rule, false-positive and false negative confusion; use of X-graphs to understand testing and treatment thresholdsFaculty: Thomas Newman
Location: China Basin 6702 -
Small Group Discussion Section
Review Chapter 2 Problems (Epi204 HW2 2012.doc)Faculty: Felica Chow, Leslie Cockerham, Patti Curl, Misa Perron-Burdick, Joshua Galanter, Norman Hearst, Anthony Kim, Michael Kohn, Tom Newman,
Location: Chow CB 6601, Cockerham CB 5721, Curl CB 6702, Perron-Burdick CB 5759, Kim Online -
Lecture: Multilevel and continuous tests
ROC Curves, multilevel likelihood ratios and the relationship between them; how making multilevel tests dichotomous wastes information; choosing cutoffs, the Walking Man approach to ROC.Faculty: Michael Kohn
Location: China Basin 6702 -
Small Group Discussion Section
Review Chapter 3 problems (HW Set 3 Epi 204_2012.doc)Faculty: Felica Chow, Leslie Cockerham, Patti Curl, Misa Perron-Burdick, Joshua Galanter, Norman Hearst, Anthony Kim, Michael Kohn, Tom Newman,
Location: Chow CB 6601, Cockerham CB 5721, Curl CB 6702, Perron-Burdick CB 5759, Kim Online -
Lecture: Studies of Diagnostic Tests
Common biases: incorporation bias, verification bias, double gold-standard bias, spectrum bias; Prevalence, spectrum bias and nonindependence; checklist vs systematic approach to critical appraisal of studies of diagnostic testsFaculty: Thomas Newman
Location: China Basin 6702 -
Small Group Discussion Section
Review Chapter 4 problemsFaculty: Felica Chow, Leslie Cockerham, Patti Curl, Misa Perron-Burdick, Joshua Galanter, Norman Hearst, Anthony Kim, Michael Kohn, Tom Newman,
Location: Chow CB 6601, Cockerham CB 5721, Curl CB 6702, Perron-Burdick CB 5759, Kim Online -
Lecture: Screening Tests
Need for a more critical approach for screening tests, risk factor vs disease screening; biases in observational studies of screening: lead time bias, length time bias, volunteer bias, stage migration bias, pseudodisease; randomized trials of screeningFaculty: Thomas Newman
Location: China Basin 6702 -
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Lecture: Prognostic tests and combining tests
Prognostic Tests: differences from diagnostic tests; calibration and discrimination; comparing predictions; value of prognostic information. Combining tests/diagnostic models: importance of test non-independence; recursive partitioning; logistic regression; importance of validation separate from derivationFaculty: Michael Kohn
Location: China Basin 6702 -
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Lecture: Quantifying the benefits and harms of treatments
RCT checklist; importance of baseline incidence; measures of effect size: Relative risk (RR), relative risk reduction (RRR), Odds ratio (OR), Absolute risk reduction (ARR), Number needed to treat (NNT); "Back of the Envelope Cost Effectiveness Analysis"Faculty: Michael Kohn
Location: China Basin -
Small Group Discussion Section
Review Chapter 7 & 8 problemsFaculty: Felica Chow, Leslie Cockerham, Patti Curl, Misa Perron-Burdick, Joshua Galanter, Norman Hearst, Anthony Kim, Michael Kohn, Tom Newman,
Location: Chow CB 6601, Cockerham CB 5721, Curl CB 6702, Perron-Burdick CB 5759, Kim Online -
Lecture: Alternatives to randomized trials
When randomized trials are and may not be needed; instrumental variables and natural experiments; measuring additional predictor and outcome variables to estimate bias; propensity scores.Faculty: Thomas Newman
Location: China Basin 6702 -
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Lecture: P-values and confidence intervals
Introduction and justification: why this Bayesian stuff is important and why we think you can handle it; what P-values and confidence intervals don' t mean; what they do mean; confidence intervals for negative studies and for proportions with small numeratorsFaculty: Thomas Newman
Location: China Basin 6702 -
Small Group Discussion Section
Review Chapter 10 problemsFaculty: Felica Chow, Leslie Cockerham, Patti Curl, Misa Perron-Burdick, Joshua Galanter, Norman Hearst, Anthony Kim, Michael Kohn, Tom Newman,
Location: Chow CB 6601, Cockerham CB 5721, Curl CB 6702, Perron-Burdick CB 5759, Kim OnlineExample Date format: Tuesday, July 30, 2013; 1:15 PM - 2:45 PM
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Lecture: Challenges for Evidence-based Diagnosis and Course Review
Criticisms of evidence-based medicine; stories and statistics; psychology of medical decision making: heuristics used to estimate probability. Course review.Faculty: Thomas Newman
Location: China Basin 6702 -
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Lecture: Final Examination Review
Faculty: Thomas NewmanLocation: China Basin 6702
