Subject: Subject Sylbus: Multiple Comparisons - 096450 (Current)

Multiple Comparisons - 096450
Credit
Points
3.0
Given In
Semester
a
Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
3 2

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Introduction to Statistics 094423


Simultaneous and Selective Inference. Topics: Multiple Comparisons Problem, Error Rates, Power, Simultaneous Confidence Intervals, Multiple Comparison Procedures in Analysis-of-Variance Model, Family-Wise Error Rate Controlling Procedures, False Discovery Rate (Fdr) Controlling Procedures, False Coverage Rate Controlling Confidence Intervals, Methods for Replicability Analysis, Applications in Genomics. at the End of the Course the Student Will Be Able to:1. Identify Multiple Comparisons Problems in Applications and Find An Appropriate Method for False Discovery Control.
2. Implement the Multiple Comparison Procedures in Codes as Well as by Using Existing Software.
3. Construct Family-Wise Error Rate Controlling Procedures.
4. Verify the Properties of Multiple Testing Procedures Theoretically and Via Numerical Simulations.
5. Compare Between Multiple Testing Procedures Theoretically and Via Numerical Simulations.




Times and places of examinations 02/2020 2020/2021 Spring Semester
examination timedaydateSeason
Thursday22.07.2021
Monday18.10.2021

Timetable to semester 02/2020 2020/2021 Spring Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
13:30-16:30ThursdayDoctor Bogomolov MarinaLecture1010


Textbooks
PublishedPublisherAuthorsBook
2011crc pressf. bretz, t. hothorn, p. westfallmultiple comparisons using r
1996wcb/mcgraw-hillj. neter, m. h. kutner, c. j. nachtsheimapplied linear statistical models

Created in 08/03/2021 Time 15:10:22