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.

2019W, VO, 3.0h, 4.5EC
TUWEL

Properties

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

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
Wed11:00 - 12:3002.10.2019Sem.R. DB gelb 04 Lecture (Bura)
Mon11:00 - 12:3007.10.2019 - 27.01.2020Sem.R. DA grün 06A Lecture Bura
Wed11:00 - 12:3009.10.2019 - 29.01.2020Sem.R. DA grün 06A Lecture (Bura)
Methods in Applied Statistics - Single appointments
DayDateTimeLocationDescription
Wed02.10.201911:00 - 12:30Sem.R. DB gelb 04 Lecture (Bura)
Mon07.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed09.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon14.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed16.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon21.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed23.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon28.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed30.10.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon04.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed06.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon11.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed13.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon18.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed20.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon25.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed27.11.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon02.12.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed04.12.201911:00 - 12:30Sem.R. DA grün 06A Lecture (Bura)
Mon09.12.201911:00 - 12:30Sem.R. DA grün 06A Lecture Bura

Examination modalities

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

 

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri - 29.01.2021Sem.R. DA grün 06A written17.12.2020 10:00 - 27.01.2021 23:55TISS1. Prüfungstermin - 2019W - 31.01.2020
Fri - 05.03.2021Sem.R. DB gelb 04 written30.01.2021 10:00 - 03.03.2021 23:55TISS2. Prüfungstermin - 2019W - 06.03.2020
Thu - 27.05.2021written30.04.2021 10:00 - 25.05.2021 23:55TISS3. Prüfungstermin - 2019W - 28.05.2020

Course registration

Begin End Deregistration end
30.08.2019 09:00 12.10.2019 14:00

Curricula

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