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. Author manuscript; available in PMC: 2011 Nov 1.
Published in final edited form as: Alcohol. 2010 Jun 8;44(7-8):659–671. doi: 10.1016/j.alcohol.2010.04.002

Table 2.

Facial morphometric analysis. P-value of significant treatment main effects (within sub-strain) for each facial measure is indicated. For the paired comparisons, (using Tukey-Kramer procedures) comparisons were made for Alc to Chow, PF to Chow, and Chow to PF groups: Bolded-typed values under columns denote that the overall treatment p-value < the corrected Bonferonni alpha = 0.0033. An asterisk (*) denotes that the Tukey-Kramer pair-wise comparison was significant (p<0.05). Gray-shaded areas are measurements with significant difference between both control groups and alcohol-exposed group.

Measure B6N B6J
Univariate Univariate
p value (α =0.0036) Alc-Chow Alc-PF Chow-PF p value (α =0.0036) Alc-Chow Alc-PF Chow-PF
Width minimal frontal 0.0001* 0.001* 1.00 0.001* 0.30
bitragal 0.0001* 0.22 0.001* 0.0001* 0.07
bigonial 0.0001* 0.71 0.0001* 0.001* 0.92
inner canthal 0.0001* 0.0001* 0.88 0.11 0.24
outer canthal 0.0002* 0.03* 0.17 0.0001* 0.09
^ palpebral fissure 0.0001* 0.0001* 0.09 0.009* 0.02
whisker pad 0.0001* 0.21 0.008* 0.0001* 0.0001* 0.0001* 0.10 0.0001*
columella 0.0027* 0.004* 0.02* 0.75
Depth ^ upper face 0.0019* 0.002* 0.03° 0.20 0.0001* 0.0001* 0.0001* 0.80
^ mid face 0.0001* 0.0001* 0.008* 0.25 0.0001* 0.001* 0.0001* 0.58
^ lower face 0.28 0.004
Height nasal length 0.0001* 0.0001* 0.0001* 0.12 0.005*
nasal bridge 0.0001* 0.0001* 0.012* 0.05 0.008*
philtrum 0.20 0.12
lower facial height 0.80 0.002* 0.12 0.001* 0.35

B6N: MANOVA (n=84); Hotelling’s Trace F(30,70)=3.7, p<0.0001; Univariate adjusted alpha = 0.0033; n’s=94–113 B6J: MANOVA (n=78); Hotelling’s Trace F(30,65)=4.9, p<0.0001; Univariate adjusted alpha = 0.0033; n’s=98–118

^

Measure taken on left side;

*

significant treatment effect, a=0.0033; *p<0.05, Tukey-Kramer;

°

p=0.05, Tukey-Kramer.

Gray shaded area represents measurements for both Alc-PF and Alc-Chow groups that show significant differences.