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. 2022 Aug 11;18(8):e1010303. doi: 10.1371/journal.pgen.1010303

Table 4. Multivariate modeling fitting comparisons based on the combined MALE GWAS summary statistics at six age intervals.

Women ChiSquaredf p pseudoAIC CFI TLI SRMR
Full auto-regression (AutoReg) 15.019(13) 0.306 49.019 1.000 1.000 0.043
    AutoReg: genetic innovation at 65–73 yrs dropped 14.866(14) 0.387 46.866 1.000 1.000 0.043
    AutoReg: genetic innovation at 60–64 yrs dropped 14.883(14) 0.386 46.883 1.000 1.000 0.043
    AutoReg: genetic innovation at 55–59 yrs dropped 16.813(14) 0.266 48.813 0.999 0.999 0.046
    AutoReg: genetic innovation at 50–54 yrs dropped 14.213(14) 0.434 46.213 1.000 1.000 0.043
    AutoReg: genetic innovation at 45–49 yrs dropped 21.482(14) 0.090 53.482 0.998 0.998 0.057
    AutoReg: genetic innovations at 45–73 yrs dropped 25.617(14) 0.109 49.617 0.998 0.999 0.059
    Factor analysis—1 factor 8.832(9) 0.453 32.832 1.000 1.000 0.023
Men
Full auto-regression (AutoReg) 11.858(13) 0.539 45.858 1.000 1.000 0.054
    AutoReg: genetic innovation at 65–73 yrs dropped 12.814(14) 0.541 44.814 1.000 1.000 0.054
    AutoReg: genetic innovation at 60–64 yrs dropped 12.085(14) 0.599 44.085 1.000 1.000 0.053
    AutoReg: genetic innovation at 55–59 yrs dropped 11.889(14) 0.615 43.889 1.000 1.000 0.053
    AutoReg: genetic innovation at 50–54 yrs dropped 21.826(14) 0.082 53.826 0.998 0.998 0.064
    AutoReg: genetic innovation at 45–49 yrs dropped 12.718(14) 0.549 44.718 1.000 1.000 0.059
    AutoReg: genetic innovations at 45–73 yrs dropped 1628.983(14) 0.000 1652.983 0.168 0.001 0.803
    Factor analysis—1 factor 4.398(9) 0.883 28.398 1.001 1.000 0.018

Note: AIC = Akaike Information Criterion, CFI = Comparative Fit Index, TLI = Tucker Lewis Index, SRMR = (Standardized) Root Mean Square Residual