1 Data were analyzed with mixed-effects
analyses of covariance.
2 tokines were determined using chi2 tests and
analyses of covariance.
3 concentrations was evaluated with the use of
analyses of covariance.
4 aemorrhage (IVH) over 24 h were estimated in
analyses of covariance.
5 In
analyses of covariance adjusted for prepregnancy medical
6 Analyses of covariance,
adjusting for age and sex, exami
7 Analyses of covariance and logistic regressions were per
8 Using
analyses of covariance and t-tests, analyses were conduc
9 Statistical (one-way between-group
analyses of covariance)
and clinical effects (clinically
10 Analyses of covariance based on intention-to-treat analy
11 Analyses of covariance,
controlling for depression, show
12 h groups showed improvement in outcomes, but
analyses of covariance demonstrated significant differen
13 Analyses of covariance found significantly higher emotio
14 Analyses of covariance indicated that higher prevaccinat
15 Multivariate
analyses of covariance (
MANCOVA) examined the interactio
16 ithin the patient sample, using multivariate
analyses of covariance (
MANCOVA) we compared cognitive p
17 ithin the patient sample, using multivariate
analyses of covariance (
MANCOVA) we compared cognitive p
18 Four one-way
analyses of covariance models were fit in which factors
19 Mixed model
analyses of covariance of baseline adjusted change in th
20 nce of relationships across the 2 sites, and
analyses of covariance of the combined sample that inclu
21 Analyses of covariance of the volumes of brain regions,
22 in DAMES and ABS scores between groups with
analyses of covariance or quantile regression in all pat
23 Analyses of covariance revealed a significant mean diffe
24 Multivariate
analyses of covariance revealed a significant multivaria
25 Analyses of covariance revealed no statistically signifi
26 Analyses of covariance revealed significant group differ
27 Analyses of covariance revealed that Met-hemizygous pati
28 Analyses of covariance showed that the AIMS2 total healt
29 This pattern was confirmed by
analyses of covariance that adjusted for demographic and
30 ifferences while controlling for IQ or EF in
analyses of covariance,
we used linear regression to qua
31 Furthermore,
analyses of covariance were conducted on the memory meas
32 default-mode) were extracted, and voxel-wise
analyses of covariance were conducted to compare the ass
33 Multivariate
analyses of covariance were conducted to identify differ
34 Analyses of covariance were used to adjust for baseline
35 Canonical correlation and
analyses of covariance were used to assess relationships
36 Analyses of covariance were used to compare the outcome
37 Analyses of covariance were used to determine if attachm
38 Analyses of covariance with age as a covariate were carr
39 Contrast coding using
analyses of covariance with BMD or BMC as the outcome sh
40 fferences between groups were compared using
analyses of covariance with least significant difference
41 Using linear regressions and
analyses of covariance with post hoc Tukey-Kramer tests
42 Groups were compared by
analyses of covariance,
with age, number of weeks pregna