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. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: Alcohol. 2011 Feb 26;45(4):325–339. doi: 10.1016/j.alcohol.2010.12.006

Table 2.

* Hierarchical regression models predicting neurochemical characteristics using behavioral variables including food entries (Step 1) and average alcohol consumption (Step 2)

Beta t Partial r R2 Change F changeA Adj. R2
Predicting 40 Pulse response with behavioral measures
Step 1 0.02 1.13 (1,49) 0.003
AVG Entries 0.15 1.06 0.15
Step 2 0.09 5.05* (1,48) 0.079
AVG Entries 0.09 0.68 0.10
AVG G/KG 0.31 2.25 * 0.31
Predicting DAT half-life at baseline with behavioral measures
Step 1 0.01 .53 (1,44) -0.01
AVG Entries 0.11 0.07 0.11
Step 2 0.08 3.63 (1,43) 0.05
AVG Entries 0.16 1.05 0.16
AVG G/KG -0.28 -1.91 + -0.28
Predicting DAT half-life after nomifensine with behavioral measures
Step 1 0.11 4.72* (1,40) 0.08
AVG Entries -0.33 -2.17 * -0.33
Step 2 0.09 4.35* (1,39) 0.15
AVG Entries -0.28 -1.93 -0.30
AVG G/KG -0.30 -2.09 * -0.32
*

Degrees of freedom in parentheses

A

Degrees of freedom in parentheses

*

p<.05

+

p=.06