When these doomed lovers first set eyes on each other, it's so obvious that they're a matched set — and that they know it — that the whole world seems to stand still in deference.
This was demonstrated in both matched sets and regression analyses.
These vials were divided into two matched sets and were sent to two nonmilitary laboratories for testing for mycoplasma contamination.
These summary variables were also analyzed using exact conditional logistic regression for matched sets and were calculated using SAS version 9.1.3.
As interpreting results between intercorrelated variables can be problematic, two forms of statistical analysis were used to investigate this question; matched sets and logistic regression.
To further assess these findings, we employed a mixed-effects model comparing probe expression values from probands and unrelated, matched controls, stratified by including a random effect for the matched sets, and comparing across disease phenotypes.
Therefore, under the assumptions of an individually matched case-control data, the density of the measurement model is given by (2) where w ij and x ij correspond to the vector of surrogate and true exposures variables, respectively, for the j - th member of the i - th matched set, and N refers to the number of matched sets.
Under the assumptions of a matched case-control study, the full conditional likelihood is the product of over the N strata or matched sets, which is (3) The parameter β is assumed to be constant across matched sets, and it is the target of statistical inference.
We used conditional logistic regression to estimate the odds of postneonatal all-cause, respiratory-related, SIDS, and external-cause (a control category) mortality by exposure to PM2.5, controlling for the matched sets and maternal demographic factors.
This was done by comparison of predicted model risk scores for cases and controls within matched sets and tabulating how often the case is correctly identified as having a higher risk score.
