# A New Non-parametric Test for Multivariate Paired Data and Pair Matching

@inproceedings{Zhang2020ANN, title={A New Non-parametric Test for Multivariate Paired Data and Pair Matching}, author={Jingru Zhang and Hao Chen and Xiao‐Hua Zhou}, year={2020} }

In paired design studies, it is common to have multiple measurements taken for the same set of subjects under different conditions. In observational studies, it is many times of interest to conduct pair matching on multiple covariates between a treatment group and a control group, and to test the treatment effect represented by multiple response variables on well pair-matched data. However, there is a lack of an effective test on multivariate paired data. The multivariate paired Hotelling’s T 2…

#### References

SHOWING 1-10 OF 19 REFERENCES

New multivariate tests for assessing covariate balance in matched observational studies.

- Mathematics, MedicineBiometrics
- 2020

We propose new tests for assessing whether covariates in a treatment group and matched control group are balanced in observational studies. The tests exhibit high power under a wide range of…

Covariate balance in simple stratified and clustered comparative studies

- Medicine, Mathematics
- 2008

Fisher's randomization inference is applied to the question of balance and suggests the reversal of published conclusions about two studies, one clinical and the other a field experiment in political participation.

A New Graph-Based Two-Sample Test for Multivariate and Object Data

- Computer Science, Mathematics
- 2013

A novel test statistic based on a similarity graph constructed on the pooled observations from the two samples is presented, which can be applied to multivariate data and non-Euclidean data as long as a dissimilarity measure on the sample space can be defined.

A Weighted Edge-Count Two-Sample Test for Multivariate and Object Data

- Computer Science, MathematicsJournal of the American Statistical Association
- 2018

A nonparametric testing procedure that uses graphs representing the similarity among observations that can be applied to any data types as long as an informative similarity measure on the sample space can be defined is studied.

An exact distribution‐free test comparing two multivariate distributions based on adjacency

- Mathematics
- 2005

Summary. A new test is proposed comparing two multivariate distributions by using distances between observations. Unlike earlier tests using interpoint distances, the new test statistic has a known…

Metrics for covariate balance in cohort studies of causal effects.

- Mathematics, MedicineStatistics in medicine
- 2014

The post-matching C-statistic was proposed as a balance metric and found that it had consistently strong associations with estimation bias, even when the propensity score model was misspecified, as long as the propensity Score was estimated with sufficient study size.

Individual Comparisons by Ranking Methods

- Mathematics
- 1945

The comparison of two treatments generally falls into one of the following two categories: (a) we may have a number of replications for each of the two treatments, which are unpaired, or (b) we may…

Multivariate generalizations of the Wald--Wolfowitz and Smirnov two-sample tests

- Mathematics
- 1979

Multivariate generalizations of the Wald--Wolfowitz runs statistic and the Smirnov maximum deviation statistic for the two-sample problem are presented. They are based on the minimal spanning tree of…

Practical Nonparametric Statistics

- Computer ScienceTechnometrics
- 2000

This book is aimed at graduate students in statistics or mathematics, and practicing statisticians, and requires proficiency in advanced calculus, and can serve as a very good reference on the exciting topic of wavelets.

The Alzheimer ’ s Disease Centers ’ Uniform Data Set ( UDS ) : The Neuropsychological Test Battery

- 2009

The neuropsychological test battery from the Uniform Data Set (UDS) of the Alzheimer’s Disease Centers (ADC) program of the National Institute on Aging (NIA) consists of brief measures of attention,…