An Integrated Bayesian Model for DIF Analysis

By T. M. Soares, Flávio B. Gonçalves, Dani Gamerman. 2009

49 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b7f9926235d2cc02fd9c8044769b0f7af6d71d44

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Daniel M. McNeish

In Management Science and Operations Research

1. Daniel M. McNeish
2. Michael T. Kalkbrenner
3. Andrew F. Hayes
4. Jacob J Coutts
5. W. Stam
6. Markku V. J. Maula

In Statistics and Probability

1. Daniel M. McNeish
2. Francis L. Huang
3. Milica Miočević
4. R. van de Schoot
5. Laura M. Stapleton
6. M. Botha
7. D. Frost

Citations in the corpus

• On Using Bayesian Methods to Address Small Sample Problems (2016, methodology): “As a broader alternative to dealing with small samples, Staggs (2015) found that bootstrapped standard errors performed nearly as well as Kenward–Roger standard errors and are applicable to a much wider variety of models than the Kenward–Roger correction.”