MTTS1 Longitudinal and Finite Nonlinear Mixture Modelling and Associated Experimental Design Strategies (independent study and exams) 5 ECTS
Periods
Period I Period II Period III Period IV
Language of instruction
English
Type or level of studies
Other studies
Course unit descriptions in the curriculum
MDP in Computational Big Data Analytics, Statistics
Tilastotiede
Faculty of Natural Sciences

General description

This course explores methods for the analysis of longitudinal data and latent variable methods for linear models, generalized linear models, and nonlinear models.  Focusing on applications, this course explores: the analysis of repeated measures ANOVA, multivariate approaches, random-effects regression, covariance-pattern models, generalized-estimating equations and generalizations, latent variable methods including finite mixture modelling, and likelihood methods.  Students will develop expertise using the SAS and R computer packages, although no previous programming experience will be assumed.  Grading is based on homework and computer assignments and a project, as well as several exams.

Enrolment for University Studies

Enrolment time has expired

Teachers

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

Teaching

17-Sep-2018 – 21-Oct-2018
Independent work
Lectures
Mon 17-Sep-2018 at 14-15, LS B3117, Pinni B
Exam I
Fri 28-Sep-2018 at 9-11, LS B4113, Pinni B
Exam II
Fri 12-Oct-2018 at 9-11, LS B3107, Pinni B
Final Exam
Fri 19-Oct-2018 at 9-12, LS B3107, Pinni B

Evaluation

Numeric 1-5.

Evaluation criteria

  • intermediate level 40%
  • advanced level 60%
  • doctoral level 60% and coursework based on a research article

Further information

Course begins with a lecture on Monday 17th of September.

There are three exams during the course.

Recommended preceding studies:

Basic courses of statistics and Regression analysis