Testing homogeneity of proportions from sparse binomial data with a large number of groups

12/09/2017
by   Junyong Park, et al.
0

In this paper, we consider testing the homogeneity for proportions in independent binomial distributions especially when data are sparse for large number of groups. We provide broad aspects of our proposed tests such as theoretical studies, simulations and real data application. We present the asymptotic null distributions and asymptotic powers for our proposed tests and compare their performance with existing tests. Our simulation studies show that none of tests dominate the others, however our proposed test and a few tests are expected to control given sizes and obtain significant powers. We also present a real example regarding safety concerns associated with Avandiar (rosiglitazone) in Nissen and Wolsky (2007).

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/15/2018

Testing the homogeneity of risk differences with sparse count data

In this paper, we consider testing the homogeneity of risk differences i...
research
11/15/2017

Two-Sample Test for Sparse High Dimensional Multinomial Distributions

In this paper we consider testing the equality of probability vectors of...
research
11/25/2022

On Testing Homological Equivalence

In this article, we develop a test to check whether the support of the u...
research
06/19/2022

3-stage and 4-stage tests with deterministic stage sizes and non-iid data

Given a fixed-sample-size test that controls the error probabilities und...
research
11/30/2018

Practical methods for graph two-sample testing

Hypothesis testing for graphs has been an important tool in applied rese...
research
06/24/2021

Two-sample tests for repeated measurements of histogram objects with applications to wearable device data

Repeated observations have become increasingly common in biomedical rese...
research
07/05/2020

Adverse event enrichment tests using VAERS

Vaccination safety is critical for individual and public health. Many ex...

Please sign up or login with your details

Forgot password? Click here to reset