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| Titel | Biostatistics II: Logistic regression for epidemiologists |
|---|---|
| Kursnummer | 3043 |
| Program | Epidemiologi |
| Språk | Engelska |
| Antal högskolepoäng | 2.0 |
| Noteringar |
Kursen uppfyller kraven för en allmänvetenskaplig kurs. |
| Datum | 2018-01-24 -- 2018-01-31 | Kursansvarig institution | Institutionen för medicinsk epidemiologi och biostatistik |
| Särskild behörighet | Knowledge in epidemiology and biostatistics equivalent to ""Epidemiology I: Introduction to epidemiology"" and ""Biostatistics I: Introduction for epidemiologists"" or corresponding courses |
| Kursens syfte | This course focuses on the application of linear and logistic regression in the analysis of epidemiological studies. |
| Kursens lärandemål | After successfully completing this course you as a student are expected to be able to: - choose a suitable regression model for assessing a specific research hypothesis using data collected from an epidemiological study, fit the model using standard statistical software, evaluate the fit of the model, and interpret the results. - explain the concept of confounding in epidemiological studies and demonstrate how to control/adjust for confounding using statistical models. - apply and interpret appropriate statistical models for studying effect modification. - critically evaluate the methodological aspects (design and analysis) of a scientific article reporting an epidemiological study. |
| Kursens innehåll | This course focuses on the application of linear and logistic regression in the analysis of epidemiological studies. Topics covered include a brief introduction to models for continuous data and a more complete coverage of binary outcome data, univariable and multivariable models, interpretation of parameters for continuous and categorical predictors, flexible modeling of quantitative predictors, confounding and interaction, model fitting and model diagnostics. |
| Arbetsformer | Lectures, computer lab with exercises focusing on analysis of real data sets using statistical software, exercises not requiring statistical software, group discussions, literature review. |
| Obligatoriska moment | The individual written examination (summative assessment). |
| Examination | To pass the course, the student has to show that the learning outcomes have been achieved. The course grade is based on the individual written examination (summative assessment). The focus of the examination will be on understanding concepts and their application to analysis of epidemiological studies rather than mathematical detail. Students who do not obtain a passing grade in the first examination will be offered a second examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered. If the course is not offered during the following two academic terms then a third examination will be scheduled within 12 months of the final day of the course. |
| Kurslitteratur och övriga läromedel | Suggested reading: Hosmer DW, Lemeshow S, and Sturdivant, RX. Applied Logistic Regression, 3rd Ed, A Wiley-Interscience Publication, John Wiley & Sons Inc., New York, NY, 2013. Jewell NP. Statistics for Epidemiology, Chapman & Hall, New York, 2003. |
| Antal studenter | 8 - 25 |
| Urval av studenter | Eligible doctoral students will be prioritized according to 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date). Submit a completed application form. Give all information requested, including a short description of current research training and motivation for attending, and an account of previous courses taken. |
| Övrig information | Course dates are: January 24, 25, 26, 29, 30 and 31. The course is extended over 2 weeks (but still 6 full course days) in order to promote reflection and reinforce learning. The individual examination will be performed as a take-home examination. Prerequisite knowledge in epidemiology and biostatistics equivalent to ""Epidemiology I:Introduction to epidemiology"" and ""Biostatistics I: Introduction for epidemiologists"" or corresponding courses. Prior knowledge in Stata software is strongly recommended. |
| Ytterligare kursledare | |
| Senaste kursvärdering | Kursvärderingsrapport |
| Kursansvarig |
Rino Bellocco Institutionen för medicinsk epidemiologi och biostatistik Rino.Bellocco@ki.se . |
| Kontaktpersoner |
Gunilla Nilsson Roos Institutionen för medicinsk epidemiologi och biostatistik 08-524 822 93 gunilla.nilsson.roos@ki.se |
