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
Tenders are invited for Supply of RF Power Transistor TP9383 Matched Pairs For FM Broadcast Transmitter applications in the 88 to 108 Mhz Band.
Both matched pairs showed a marked difference between the conventional treatment and the use of TTO dressing.
OTCQB: CATS), provider of proprietary healthcare management services to health insurers, today announced results from a recent Matched Pairs test, performed by the Company indicating a 58.
e duo faced Marsh Lib B team's Rob Armitage and Tony Clegg, and the nal at PPG Canalside proved a closely fought aair between two evenly matched pairs.
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.
Six matched pairs of IBS patients (aged 23-58 yrs) were randomly assigned to either a gut-directed hypnotherapy (6 Ss) or to a symptom monitoring wait-list control condition (6 Ss) in a multiple baseline across Ss design.
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.