30219 Hauptseminar

WiSe 20/21: Intermediate Regression Analysis

Jan Paul Heisig

Hinweise für Studierende

Regular hands-on exercises and assignments will help students apply these methods to actual data analysis problems in Stata. Some prior knowledge of Stata is therefore highly recommended.

Kommentar

  • the linear probability model and its limitations;
  • the basic logic of logistic regression and other generalized linear models;
  • prediction and interpretation (including average marginal/partial effects and marginal/partial effects at the mean);
  • fundamentals of maximum likelihood estimation;
  • model selection and goodness of fit; model diagnostics;
  • (non-)comparability of coefficients across models and groups (optional).
Schließen

15 Termine

Regelmäßige Termine der Lehrveranstaltung

Do, 05.11.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 12.11.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 19.11.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 26.11.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 03.12.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 10.12.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 17.12.2020 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 07.01.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 14.01.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 21.01.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 28.01.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 04.02.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 11.02.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 18.02.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Do, 25.02.2021 12:00 - 14:00

Dozenten:
Univ.-Prof. Dr. Jan Paul Heisig

Studienfächer A-Z