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. 2018 Feb 7;13(2):e0191240. doi: 10.1371/journal.pone.0191240

Table 3. Aβ42 in the prediction of X-tau by age quartiles.

Quartile N age range 42 variance a Dependent variable linear fit Aβ42 quadratic fit Aβ42
β b 95% CI c p value β b 95% CI c p value
Q1 162 45.1–62.9 0.80 P-tau181 0.42 0.25, 0.59 < .01 0.18 0.06, 0.30 < .01
Q2 162 63.0–70.31 0.96 0.20 0.01, 0.39 < .05 0.28 0.17, 0.39 < .01
Q3 164 70.33–75.9 1.03 -0.23 -0.41, -0.04 < .05 0.19 0.01, 0.36 < .05
Q4 163 76.0–89.7 1.18 -0.18 -0.32, -0.03 < .05 0.14 0.03, 0.25 < .05
Q1 same as above T-tau 0.44 0.27, 0.60 < .01 0.14 0.02, 0.25 < .05
Q2 0.30 0.11, 0.49 < .01 0.25 0.15,0.35 < .01
Q3 -0.11 -0.29, 0.07 0.22 0.17 0.01, 0.33 < .05
Q4 -0.07 -0.22, 0.08 0.34 0.18 0.07, 0.29 < .01

a. Significant increase in variance across quartiles.

b. β coefficients are unstandardized values from the GEE with CSF z scores.

c. The 95% CI of the β coefficients are calulated using robust (Huber-White) sandwich estimators of the standard error.