Lecturer: Jan Beyersmann

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Time and Venue

Lectures:	Tuesday 10:15-12:00 am, Thursday 8:15-10:00 Helmholtzstr. 18, Room 2.20
Exercise	Wednesday: 4:00-5:45 pm, Helmholtzstr. 18, Room 120

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General Informations:

Prerequisites:	The level of the course is roughly that of a first year's master course in Mathematical Biometry. Some basic understanding of linear models is required.
Exam:	Written exam: 16th July, 12:15-14:15, H15 Retake exam: 1st October, 10:00-12:00, Helmholtzstr. 18, Room 220

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Contents:

Longitudinal data arise when the same individual/experiment unit is measured at a sequence of observation times. Such data combine aspects of both multivariate data and time series. Specific to longitudinal data is that the temporal interdependence implies a highly structured pattern and that typical data sets consist of a moderate to large number of short series, one from each subject. If time permits, we will also look at joint models for both longitudinal and time-to-event (survival) data.

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Exercise Sheets:

<link fileadmin website_uni_ulm mawi.inst.105 ue1.pdf _blank download>Sheet 1	<link fileadmin website_uni_ulm mawi.inst.105 ue1_solution.r _blank download>Solution1.R
<link fileadmin website_uni_ulm mawi.inst.105 ue2.pdf _blank download>Sheet 2	<link fileadmin website_uni_ulm mawi.inst.105 ue2_solution12.5.r _blank download>Solution2.R   (updated 12.05.13)
<link fileadmin website_uni_ulm mawi.inst.105 ue3.pdf _blank download>Sheet 3	<link fileadmin website_uni_ulm mawi.inst.105 ue3_solution.r _blank download>Solution3.R
<link fileadmin website_uni_ulm mawi.inst.105 ue4.pdf _blank download>Sheet 4	<link fileadmin website_uni_ulm mawi.inst.105 ue4_solution.r _blank download>Solution4.R
<link fileadmin website_uni_ulm mawi.inst.105 ue5.pdf _blank download>Sheet 5	<link fileadmin website_uni_ulm mawi.inst.105 ue5_solution.r _blank download>Solution5.R
<link fileadmin website_uni_ulm mawi.inst.105 ue6.pdf _blank download>Sheet 6	<link fileadmin website_uni_ulm mawi.inst.105 ue6_solution.r _blank download>Solution6.R
<link fileadmin website_uni_ulm mawi.inst.105 ue7.pdf _blank download>Sheet 7	<link fileadmin website_uni_ulm mawi.inst.105 ue7.r _blank download>Solution7.R (updated (Line 72) 13.09.13)
<link fileadmin website_uni_ulm mawi.inst.105 ue8.pdf _blank download>Sheet 8	<link fileadmin website_uni_ulm mawi.inst.105 ue8_solution.r _blank download>Solution8.R
<link fileadmin website_uni_ulm mawi.inst.105 ue9.pdf _blank download>Sheet 9	<link fileadmin website_uni_ulm mawi.inst.105 ue9_solution.r _blank download>Solution9.R
<link fileadmin website_uni_ulm mawi.inst.105 ue10.pdf _blank download>Sheet 10	<link fileadmin website_uni_ulm mawi.inst.105 ue10_solution.r _blank download>Solution10.R
<link fileadmin website_uni_ulm mawi.inst.105 ue11.pdf _blank download>Sheet 11	<link fileadmin website_uni_ulm mawi.inst.105 ue11_solution.r _blank download>Solution11.R
<link fileadmin website_uni_ulm mawi.inst.105 ue12.pdf _blank download>Sheet 12	<link fileadmin website_uni_ulm mawi.inst.105 ue12_solution.r _blank download>Solution12.R

 

Data

 

Lecture notes

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Literature:

P Diggle et al., Analysis of Longitudinal Data, Oxford University Press 2002
G Fitzmaurice et al., Applied Longitudinal Analysis, Wiley 2011
D Hedecker and R Gibbons, Longitudinal Data Analysis, Wiley 2006

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