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Archived teaching schedules 2017–2018
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MTTA2 Statistical Analysis with Missing Data (intermediate) 5 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Mathematics and Statistics
Faculty of Natural Sciences

Learning outcomes

To understand different types of missing data.

To be able to make a valid statistical analysis in various missing data situations with the R software.

This course is an intermediate study version of MTTS1 Statistical Analysis with Missing Data. The student can only complete one of the two versions.

General description

Content

It is quite common that we do not get all the information we want for our statistical analysis. For example, in medical research a person can refuse to provide certain information they feel sensitive, such as weight, substance abuse, sexual orientation etc. Particularly, missing data in longitudinal studies is more the rule than an exception. Missing data in statistical analysis causes all sorts of problems. For example, the desired statistical method cannot be directly applied; loss of information or the results obtained can be biased if the analysis is not done properly accomplished. The course introduces various missing data mechanisms and their effects on statistical analysis. In addition, it presents and evaluates some of the commonly used methods for statistical analysis with missing data. Also special methods for the analysis of longitudinal data are presented including likelihood-based methods and multiple imputation.

Modes of Study

Course work, exam.

Enrolment for University Studies

Ilmoittautuminen NettiOpsussa.

Enrolment time has expired

Teachers

Tapio Nummi, Teacher responsible
Tapio.Nummi[├Ąt]uta.fi

Teaching

12-Mar-2018 – 23-Apr-2018
Lectures
Mon 12-Mar-2018 - 23-Apr-2018 weekly at 10-12, Main Building A2a
Exceptions:
2-Apr-2018 , no lectures
Exercises
Mon 19-Mar-2018 - 16-Apr-2018 weekly at 14-16, Main Building A2a

Evaluation

Numeric 1-5.