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. Author manuscript; available in PMC: 2009 Jan 1.
Published in final edited form as: Drug Alcohol Depend. 2007 Oct 10;92(1-3):248–257. doi: 10.1016/j.drugalcdep.2007.08.011

Table 3.

Estimated Effect of Marijuana Dependence or Abuse on Length of Stay

NHDS Dataa FHD Datab

(1) OLS (2) GLM (1)c (3) GLM (2)c (4) PSM (5) OLS (6) GLM (1)c (7) GLM (2)c (8) PSM
Primary Diagnosis of Alcohol-related Mental Health Problem
Base Model 1.46** (0.22) 1.46** (0.22) 1.69** (0.25) 1.54** (0.29) 1.20** (0.11) 1.28** (0.10) 1.19** (0.10) 1.05** (0.13)
Base + Tobacco and Other Drugs (TOD) 1.44** (0.22) 1.49** (0.22) 1.72** (0.25) 0.83** (0.31) 0.92** (0.11) 0.96** (0.10) 0.95** (0.10) 0.72** (0.14)
Base + TOD + Hospital Fixed Effects na na na na 0.57** (0.10) 0.51** (0.08) 0.54** (0.09) 0.52** (0.15)

Primary Diagnosis of Mood Disorder
Base Model −0.18 (0.15) −0.24 (0.16) −0.21 (0.15) −0.05 (0.15) −0.07 (0.05) −0.1 (0.06) −0.09 (0.05) −0.12 (0.06)
Base + Alcohol, Tobacco & Other Drugs (ATOD) −0.07 (0.15) −0.11 (0.17) −0.1 (0.15) −0.07 (0.16) 0.04 (0.05) 0.03 (0.06) 0.03 (0.05) −0.04 (0.07)
Base + ATOD + Hospital Fixed Effects na na na na 0.03 (0.05) 0.00 (0.06) 0.00 (0.05) −0.04 (0.07)

Primary Diagnosis of Thought Disorder
Base Model −0.68* (0.31) −0.84* (0.34) −0.81* (0.33) −0.81* (0.31) −0.45** (0.09) −0.51** (0.10) −0.46** (0.09) −0.49** (0.10)
Base + Alcohol, Tobacco & Other Drugs (ATOD) −0.31 (0.32) −0.44 (0.36) −0.41 (0.33) −0.66 (0.36) −0.19* (0.10) −0.24* (0.11) −0.21* (0.10) −0.23 (0.12)
Base + ATOD + Hospital Fixed Effects na na na na −0.36** (0.09) −0.39** (0.10) −0.36** (0.09) −0.31* (0.14)

Note: Standard errors are reported in parentheses.

*

indicates significant at the 5% level;

**

significant at the 1% level.

a

Additional regressors include patient characteristics (gender, race/ethnicity, age category, marital status) and case characteristics (discharge status, DRG and insurance type), hospital characteristics (ownership, size, region), and year dummies.

b

Additional regressors include patient characteristics (gender, race/ethnicity, age category, marital status), case characteristics (discharge status, DRG and insurance type), and year dummies

c

GLM(1) indicates that the marginal effects from this model are evaluated at mean values for full sample. GLM(2) evaluates the marginal effects at the means at the values for just marijuana users.