# 107.329 Methods in Applied Statistics This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2023W 2022W 2021W 2020W 2019W 2018W 2017W 2016W 2015W 2014W 2013W 2012W 2012S 2011S 2010S 2009S 2008S 2007S 2006S 2005S

2022W, VO, 3.0h, 4.5EC

## 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

### 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)

Written

## 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.

English