| Responsible Department | LIFE Graduate School
10 % Department of Basic Science and Environment 90 % | ||||||||||||||
| Course Dates | 25 January plus 1 and 8 February 2012. All days from 9 to 15.30. Presentation of projects: 7 and 8 March 2012. We expect the next edition of the course will run in 2013. | ||||||||||||||
| Course Abstract | This course is a follow-up to SmB I, the latter covering the case with a continuous response parameter and no further correlation structure. SmB II seeks to cover other types of statistical problems commonly encountered in biological research such as a binary outcome parameter, and to carry out the appropriate statistical analysis. The student gets hands-on experience in using a statistical package. | ||||||||||||||
| Course Home Page | http://www.dina.kvl.dk/~torbenm/SmB/SmB/Welcome.ht... | ||||||||||||||
| Course Registration | To sign up for the course, please send an e-mail to Lars Holm Rasmussen at SmB_I_and_II@life.ku.dk . | ||||||||||||||
| Deadline for Registration | 1 December 2011. | ||||||||||||||
| Credits | 5 (ECTS) | ||||||||||||||
| Level of Course | PhD course | ||||||||||||||
| Organisation of Teaching | Frederiksberg Campus. | ||||||||||||||
| Language of Instruction | English | ||||||||||||||
| Restrictions | 30 | ||||||||||||||
| Course Content | |||||||||||||||
| The student is introduced to a number of statistical techniques applied to biological examples. Topics covered are: analysis of longitudinal data, logistic regression, poisson regression, analysis of censored data. The statistical package Stata is used extensively for analysis of real applications from the biosciences. The course furthermore includes a project period where the student brings a dataset to be analyzed using tools from SmB I and SmB II; suitable datasets should be of moderate size and moderately complicated from a statistical point of view. The dataset and its analysis is then the subject of the project report written by each participant, which is also presented at a seminar. | |||||||||||||||
| Teaching and learning Methods | |||||||||||||||
| Lectures, seminars, exercises including use of computers. The typical arrangement is lectures for the first half of the day and individual coursework with exercises the second half. The participants will have to bring labtops with Small STATA 12 installed. The participants must have a basic knowledge of the software. | |||||||||||||||
| Learning Outcome | |||||||||||||||
| This course is a follow-up to SmB I, the latter covering the case with a continuous response parameter and no further correlation structure. SmB II seeks to cover other types of statistical problems commonly encountered in biological research such as a binary outcome parameter, and to carry out the appropriate statistical analysis. The student gets hands-on experience in using a statistical package. | |||||||||||||||
| Course Literature | |||||||||||||||
| "A Handbook of Statistical Analyses Using Stata, 4th Edition", by Sophia Rabe-Hesketh and Brian Everitt. Publisher: Chapman & Hall/CRC. | |||||||||||||||
| Course Material | |||||||||||||||
| The participants will receive a 6-month version of Small STATA 12 for free as part of the course. | |||||||||||||||
| Course Coordinator | |||||||||||||||
| Lars Holm Rasmussen, lhr@life.ku.dk, Study and Students Affairs, Phone: 353-32659 Torben Martinussen, tma@life.ku.dk, Department of Basic Sciences and Environment, Phone: 353-32600 | |||||||||||||||
| Other Lecturers | |||||||||||||||
| Teaching assistant: Signe Marie Jensen. | |||||||||||||||
| Course Fee | |||||||||||||||
| Free for PhD students from UCPH-LIFE. Other UCPH: Contact the secretariat. PhD students from Open Market partners (incl. NOVA): DKK 8.400 plus VAT. Others: DKK 10.000 plus VAT. | |||||||||||||||
| Course Costs | |||||||||||||||
| None. | |||||||||||||||
| Type of Evaluation | |||||||||||||||
| The course ends with a project period. The student has to carry out a statistical analysis and write a report that has to be presented orally and approved by the examiner. | |||||||||||||||
| Work Load | |||||||||||||||
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