107.329 Methods in Applied Statistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VO, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VO Lecture
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to  (1) design experiments and analyze the resulting data; (2) carry out supervised and unsupervised statistical analysis of categorical data (Cox proportional hazard regression) using the R programming language.  

Subject of course

COURSE OUTLINE

      I. Design of Experiments

  • Components of an experiment, terms and concepts
  • Completely randomized designs: Models, parameter estimation, contrasts, checking assumptions
  • Multiple comparisons
  • Power and sample size
  • Fixed, random and mixed models, nesting
  • Variance reduction designs: complete block design, latin square
  1. Categorical Data Analysis
    • Categorical data: nominal vs ordinal
    • Two-way contingency tables
    • Three-way contingency tables
    • Logistic regression
  2. Survival Analysis
    • Time to event data and censoring
    • The survival and the hazard functions
    • Survival function estimation
    • Cox proportional hazards regression model

Teaching methods

The course wants to be taught using lecture slides in conjunction with derivations on board. Course information and materials, including notes and details about course assignments and exams will be posted in TUWEL.

Three reference books are used:

  • DOE: A First Course in Design and Analysis of Experiments by Oehlert; Fundamental Concepts in the Design of Experiments , Fifth Edition by Hicks and Turner.
  • Categorical Data: An Introduction to Categorical Data Analysis , Second Edition by Agresti (available online at the TU Library)

  • Survival Analysis: Applied Survival Analysis , Second Edition by Hosmer, Lemeshow and May (available online at the TU Library)

The statistical software we want to use is R. It can be downloaded from the R home page . RStudio offers a GUI R platform.

Mode of examination

Written

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon12:00 - 14:0003.10.2022 - 23.01.2023Seminarraum BA 02B Methods in Applied Statistics
Tue12:00 - 13:0004.10.2022 - 24.01.2023HS 14A Günther Feuerstein Methods in Applied Statistics
Methods in Applied Statistics - Single appointments
DayDateTimeLocationDescription
Mon03.10.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue04.10.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon10.10.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue11.10.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon17.10.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue18.10.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon24.10.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue25.10.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon31.10.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Mon07.11.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue08.11.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon14.11.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Mon21.11.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue22.11.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon28.11.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue29.11.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon05.12.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue06.12.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics
Mon12.12.202212:00 - 14:00Seminarraum BA 02B Methods in Applied Statistics
Tue13.12.202212:00 - 13:00HS 14A Günther Feuerstein Methods in Applied Statistics

Examination modalities

The final exam will include 70% and a data analysis project (30%).

 

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri - 11.10.2024written27.09.2024 08:00 - 09.10.2024 23:59TISSExam 1
Tue - 28.01.2025written14.01.2025 08:00 - 26.01.2025 23:59TISSExam 2
Fri - 28.02.2025written14.02.2025 08:00 - 26.02.2025 23:59TISSExam 3

Course registration

Begin End Deregistration end
06.09.2022 09:00 09.10.2022 14:00 21.10.2022 08:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics Mandatory5. Semester
033 531 Data Engineering & Statistics Mandatory5. Semester
066 395 Statistics and Mathematics in Economics Mandatory elective

Literature

Es wird ein Skriptum zur Lehrveranstaltung angeboten.

Previous knowledge

Probability and statistics at the level of Applied Mathematical Statistics; Calculus and Linear Algebra.

Preceding courses

Language

English