Analysis of the effects of adjusting for binary non-confounders in a logistic regression model after all true confounders have been accounted for: A simulation study
Year of publication: |
2022
|
---|---|
Authors: | Moret, Ravan ; Chapple, Andrew G. |
Publisher: |
Brussels : Economics and Econometrics Research Institute (EERI) |
Subject: | regression model | confounding covariates | type I errors | type II errors |
Series: | EERI Research Paper Series ; 05/2022 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1801864772 [GVK] hdl:10419/273051 [Handle] |
Classification: | C12 - Hypothesis Testing ; C13 - Estimation ; C15 - Statistical Simulation Methods; Monte Carlo Methods |
Source: |
-
Moret, Ravan, (2022)
-
Comparing Interval Restricted Estimators in Hedonic Pricing
Knautz, Henning, (2000)
-
IN DUBIO PRO REO : behavioral explanations of pro-defendant bias in procedures (Law and economics)
Nicita, Antonio, (2014)
- More ...
-
Moret, Ravan, (2022)
-
A Bayesian reversible jump piecewise hazard approach for modelling rate changes in mass shootings
Chapple, Andrew G., (2016)
-
Chapple, Andrew G., (2018)
- More ...