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. Author manuscript; available in PMC: 2021 Jan 20.
Published in final edited form as: J Alzheimers Dis. 2020;76(2):539–551. doi: 10.3233/JAD-191192

Table 3.

Model fit statistics of sex-limitation ACE models for All dementia, AD only, and non-AD Dementia

All Dementia Models χ2 df Model Comparison Δχ2 Δdf p RMSEA
1. ACE unconstrained, rG estimated 256.02 44 - - - 0.000 0.05
2. ACE unconstrained, rG = 0.5 257.95 45 1 0.32 1 0.569 0.05
3. ACE constrained, rG = 0.5 265.26 48 2 5.27 3 0.153 0.05
AD Only Models χ2 df Model Comparison Δχ2 Δdf p RMSEA
1. ACE unconstrained, rG estimated 131.89 44 - - - 0.000 0.03
2. ACE unconstrained, rG = 0.5 132.88 45 1 0.06 1 0.803 0.03
3. ACE constrained, rG = 0.5 135.57 48 2 0.62 3 0.892 0.03
Non-AD Dementia Models χ2 df Model Comparison Δχ2 Δdf p RMSEA
1. ACE unconstrained, rG estimated 195.89 44 - - - 0.000 0.05
2. ACE unconstrained, rG = 0.5 197.37 45 1 0.17 1 0.681 0.05
3. ACE constrained, rG = 0.5 203.05 48 2 3.34 3 0.342 0.04

Notes. RMSEA = root mean square error of approximation. A = additive genetic variance component; C = shared environmental variance component; E = nonshared environmental variance component; χ2 = chi-square estimate; df = degrees of freedom; Δχ2 = change in chi-square between nested models; Δdf = change in degrees of freedom between nested models; p indicates probability of difference in chi-square estimates of nested models; RMSEA = root mean square error of approximation.