matched pairs

matched pairs

[′macht ′perz]
(statistics)
The design of an experiment for paired comparison in which the assignment of subjects to treatment or control is not completely at random, but the randomization is restricted to occur separately within each pair.
References in classic literature ?
quoth Robin boldly, "this is the worst matched pair that ever mine eyes beheld
Two-sample t-test is used when the data of two samples are statistically independent, while the paired t-test is used when data is in the form of matched pairs.
ABB says as one of the only companies manufacturing both variable-speed drives (VSDs) and low voltage AC motors, it is able to offer customers perfectly designed, tested and approved matched pairs.
The physical and cognitive development was compared among the matched pairs to determine the effect, if any, of the cancer and its treatment.
I have two piles in my dresser drawer, one with matched pairs, the other with what I call "loners.
Other researchers (and the authors) have not been able to reproduce the findings when using HA and NA matched pairs from viruses chosen on the basis of geography and time and correctly have pointed out errors in the data set that make the original conclusions invalid.
The present paper describes the recruitment and site selection process that has been underway since January 2011, with particular emphasis on the use of Mahalanobis distance score to determine matched pairs of sites prior to randomization to treatment and control groups.
Researchers randomly assigned treatment within 74 matched pairs of communities, representing more than 118,000 households in seven Mexican states, and measured outcomes in a baseline survey and a follow-up survey 10 months later in 50 of the pairs.
The Restaurant Opportunities Center of New York spent the last two years canvassing restaurants, setting up focus groups and sending 43 matched pairs into restaurants.
of Florida) provides and introduction to the most important methods of performing categorical data analysis, covering contingency tables, generalized linear models, logistic regression, building and applying logistic regression models, multicategory logit models, loglinear models for contingency tables, models for matched pairs, modeling co-related or clustered responses, random effects in generalized linear mixed models and an historical tour of categorical data analysis.
For our current study, we randomly selected 2 subsets of samples from the large cohort of men who were not registered with a diagnosis of PCa until that date: 125 matched pairs of plasma and serum samples for comparison of long-term storage effects and 524 plasma samples from participants (mean age, 55 years at the time of venipuncture) age-matched with controls from Goteborg from whom contemporary serum samples were obtained for PSA measurements.