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. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: J Pediatr. 2020 Mar 3;220:193–199. doi: 10.1016/j.jpeds.2020.01.063

Table 3.

Results from three-level hierarchal generalized logistic model (HGLM) analysis predicting odds of leukodystrophy (n=1,070,062 children)

Odds
Coeff. Ratio SE t-ratio p-value
Hospital Level
Intercept −7.761 0.0004 0.076 −101.76 <0.001
Center of Excellence 0.550 1.734 0.064 8.539 <0.001
Hospital months 0.011 1.011 0.009 1.312 0.196
Zip Code Level
Median household income 0.0002 1.0000 0.0002 1.107 0.268
HPSA flag −0.149 0.862 0.058 −2.547 0.011
Distance to hospital 0.0007 1.0007 0.0001 5.247 <0.001
Proportion non-White −0.539 0.583 0.174 −3.102 0.002
Urban/Rural Context
Urban core REF REF REF REF
Large rural 0.169 1.184 0.066 2.552 0.011
Small rural 0.280 1.323 0.077 3.617 <0.001
Isolated 0.470 1.600 0.113 4.171 <0.001
Other urban −0.028 0.973 0.060 −0.457 0.648
Patient Level
Age at first admit in study period 0.020 1.020 0.003 6.121 <0.001
Male (versus female) 0.299 1.348 0.048 6.192 <0.001
Inpatient days (per time in PHIS) 0.385 1.470 0.113 3.395 <0.001
Number of admits (per time in PHIS) 1.435 4.200 0.133 10.784 <0.001
Patient Race/Ethnicity
White, non-Hispanic REF REF REF REF
Hispanic 0.013 1.0133 0.061 0.216 0.829
Black, non-Hispanic −0.415 0.660 0.064 −6.530 <0.001
Asian, non-Hispanic −0.349 0.706 0.160 −2.172 0.030
Other race, Non-Hispanic 0.172 1.188 0.063 2.722 0.006
Patient Payer Status
Private payer REF REF REF REF
Government payer 0.374 1.554 0.046 9.559 <0.001
Other payer 0.374 1.1454 0.117 3.198 0.001