ADNP_VEP
tl
2025-03-13
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 8.562683 | 3.202443 | 12 |
| ASD | 7.582391 | 2.855948 | 46 |
| TD | 7.028068 | 2.912711 | 19 |
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 17.4 8.675 1.015 0.367
## Residuals 74 632.6 8.548| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 36.89524 | 14.50650 | 12 |
| ASD | 56.57209 | 32.41736 | 46 |
| TD | 111.94444 | 13.18409 | 19 |
##
## Pearson's Chi-squared test
##
## data: av$DX and av$Gender
## X-squared = 30.914, df = 2, p-value = 1.937e-07## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 51911 25956 36.77 1.21e-11 ***
## Residuals 70 49407 706
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 4 observations deleted due to missingness| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 5.772500 | 4.933933 | 12 |
| ASD | 7.252609 | 5.055430 | 46 |
| TD | 9.837368 | 6.967723 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = P60_N75_Amp_1m ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -8.6053 -3.4334 -0.6965 2.4296 13.7196
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.8435 2.3839 0.354 0.72448
## DXASD 2.0444 1.7436 1.172 0.24481
## DXTD 4.9482 1.9961 2.479 0.01548 *
## Age_VEP 0.5756 0.2123 2.711 0.00836 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 5.341 on 73 degrees of freedom
## Multiple R-squared: 0.1439, Adjusted R-squared: 0.1087
## F-statistic: 4.091 on 3 and 73 DF, p-value: 0.009656## Analysis of Variance Table
##
## Response: P60_N75_Amp_1m
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 140.46 70.232 2.4623 0.092288 .
## Age_VEP 1 209.60 209.604 7.3487 0.008361 **
## Residuals 73 2082.14 28.523
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 14.20833 | 5.286721 | 12 |
| ASD | 18.45978 | 10.134040 | 46 |
| TD | 28.45368 | 14.201859 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = n75_p100_amp_1m ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -18.784 -7.081 -1.760 5.107 33.259
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.2643 4.8312 2.746 0.00760 **
## DXASD 4.3595 3.5337 1.234 0.22127
## DXTD 14.4146 4.0452 3.563 0.00065 ***
## Age_VEP 0.1103 0.4303 0.256 0.79851
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 10.82 on 73 degrees of freedom
## Multiple R-squared: 0.1796, Adjusted R-squared: 0.1459
## F-statistic: 5.326 on 3 and 73 DF, p-value: 0.002249## Analysis of Variance Table
##
## Response: n75_p100_amp_1m
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1864.1 932.07 7.9565 0.0007483 ***
## Age_VEP 1 7.7 7.69 0.0656 0.7985135
## Residuals 73 8551.7 117.15
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 53.15833 | 11.053462 | 12 |
| ASD | 47.25000 | 5.100142 | 46 |
| TD | 45.49474 | 5.598856 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = P60_L_1m ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.9897 -3.3397 0.2316 3.0567 24.2211
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 57.5965 2.8176 20.441 < 2e-16 ***
## DXASD -6.4164 2.0609 -3.113 0.002641 **
## DXTD -8.4590 2.3593 -3.585 0.000605 ***
## Age_VEP -0.5183 0.2510 -2.065 0.042460 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 6.312 on 73 degrees of freedom
## Multiple R-squared: 0.1778, Adjusted R-squared: 0.144
## F-statistic: 5.262 on 3 and 73 DF, p-value: 0.002422## Analysis of Variance Table
##
## Response: P60_L_1m
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 459.13 229.564 5.7612 0.004751 **
## Age_VEP 1 169.94 169.940 4.2649 0.042460 *
## Residuals 73 2908.79 39.846
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 69.91667 | 8.722576 | 12 |
| ASD | 65.35000 | 6.231417 | 46 |
| TD | 64.47895 | 3.569093 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = N75_L_1m ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.9158 -3.3393 0.4727 2.4682 21.6982
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 69.80073 2.77109 25.189 <2e-16 ***
## DXASD -4.55339 2.02685 -2.247 0.0277 *
## DXTD -5.41694 2.32027 -2.335 0.0223 *
## Age_VEP 0.01354 0.24684 0.055 0.9564
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 6.208 on 73 degrees of freedom
## Multiple R-squared: 0.08034, Adjusted R-squared: 0.04255
## F-statistic: 2.126 on 3 and 73 DF, p-value: 0.1043## Analysis of Variance Table
##
## Response: N75_L_1m
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 245.67 122.834 3.1871 0.04709 *
## Age_VEP 1 0.12 0.116 0.0030 0.95641
## Residuals 73 2813.47 38.541
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 98.25000 | 10.384648 | 12 |
| ASD | 95.10217 | 6.267641 | 46 |
| TD | 100.33158 | 9.674081 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = P100_L_1m ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.255 -5.066 -1.062 4.224 28.265
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 99.6536 3.5516 28.059 <2e-16 ***
## DXASD -3.3085 2.5977 -1.274 0.207
## DXTD 1.8300 2.9738 0.615 0.540
## Age_VEP -0.1639 0.3164 -0.518 0.606
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7.957 on 73 degrees of freedom
## Multiple R-squared: 0.08172, Adjusted R-squared: 0.04398
## F-statistic: 2.165 on 3 and 73 DF, p-value: 0.0994## Analysis of Variance Table
##
## Response: P100_L_1m
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 394.3 197.134 3.1138 0.05038 .
## Age_VEP 1 17.0 16.997 0.2685 0.60592
## Residuals 73 4621.6 63.309
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.3763723 | 0.1410606 | 12 |
| ASD | 0.3556196 | 0.1730498 | 46 |
| TD | 0.5106053 | 0.1701724 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32msc_b1 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.28143 -0.10597 -0.03065 0.10604 0.41513
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.259841 0.073337 3.543 0.000694 ***
## DXASD -0.007412 0.053641 -0.138 0.890484
## DXTD 0.155118 0.061406 2.526 0.013703 *
## Age_VEP 0.013609 0.006533 2.083 0.040726 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1643 on 73 degrees of freedom
## Multiple R-squared: 0.1846, Adjusted R-squared: 0.1511
## F-statistic: 5.51 on 3 and 73 DF, p-value: 0.001816## Analysis of Variance Table
##
## Response: ck32msc_b1
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 0.32909 0.164545 6.0956 0.003563 **
## Age_VEP 1 0.11716 0.117157 4.3401 0.040726 *
## Residuals 73 1.97056 0.026994
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.2869690 | 0.1688171 | 12 |
| ASD | 0.4050299 | 0.1737464 | 46 |
| TD | 0.4994934 | 0.1999146 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32msc_b2 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.29758 -0.12347 -0.02959 0.10661 0.46573
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.12553 0.07690 1.632 0.106891
## DXASD 0.13654 0.05624 2.428 0.017662 *
## DXTD 0.24146 0.06439 3.750 0.000351 ***
## Age_VEP 0.01885 0.00685 2.753 0.007455 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1723 on 73 degrees of freedom
## Multiple R-squared: 0.2053, Adjusted R-squared: 0.1727
## F-statistic: 6.288 on 3 and 73 DF, p-value: 0.0007445## Analysis of Variance Table
##
## Response: ck32msc_b2
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 0.33495 0.167474 5.6431 0.005262 **
## Age_VEP 1 0.22485 0.224855 7.5766 0.007455 **
## Residuals 73 2.16647 0.029678
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.1856859 | 0.1253029 | 12 |
| ASD | 0.2008587 | 0.1458467 | 46 |
| TD | 0.2945704 | 0.1695182 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32msc_b3 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.19225 -0.08447 -0.04001 0.03763 0.49128
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.083982 0.065208 1.288 0.2018
## DXASD 0.026816 0.047695 0.562 0.5757
## DXTD 0.127112 0.054600 2.328 0.0227 *
## Age_VEP 0.011878 0.005808 2.045 0.0445 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1461 on 73 degrees of freedom
## Multiple R-squared: 0.1265, Adjusted R-squared: 0.09063
## F-statistic: 3.525 on 3 and 73 DF, p-value: 0.01907## Analysis of Variance Table
##
## Response: ck32msc_b3
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 0.13644 0.068218 3.1965 0.04669 *
## Age_VEP 1 0.08924 0.089239 4.1815 0.04447 *
## Residuals 73 1.55793 0.021342
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.1354398 | 0.0801958 | 12 |
| ASD | 0.1315652 | 0.0719190 | 46 |
| TD | 0.1372632 | 0.0845606 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32msc_b4 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.10912 -0.05835 -0.01854 0.03883 0.18787
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.118378 0.034246 3.457 0.000915 ***
## DXASD -0.001921 0.025049 -0.077 0.939072
## DXTD 0.004881 0.028675 0.170 0.865301
## Age_VEP 0.001993 0.003050 0.653 0.515671
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.07672 on 73 degrees of freedom
## Multiple R-squared: 0.006928, Adjusted R-squared: -0.03388
## F-statistic: 0.1697 on 3 and 73 DF, p-value: 0.9165## Analysis of Variance Table
##
## Response: ck32msc_b4
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 0.00049 0.0002430 0.0413 0.9596
## Age_VEP 1 0.00251 0.0025116 0.4267 0.5157
## Residuals 73 0.42970 0.0058863
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 92.71798 | 8.432043 | 12 |
| ASD | 93.94626 | 9.235530 | 46 |
| TD | 91.30726 | 9.027522 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = h24_long_fixed ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -11.001 -4.861 -2.469 1.710 35.442
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 95.2279 4.0578 23.468 <2e-16 ***
## DXASD 0.9409 2.9680 0.317 0.752
## DXTD -1.8605 3.3977 -0.548 0.586
## Age_VEP -0.2931 0.3615 -0.811 0.420
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 9.091 on 73 degrees of freedom
## Multiple R-squared: 0.02428, Adjusted R-squared: -0.01582
## F-statistic: 0.6054 on 3 and 73 DF, p-value: 0.6136## Analysis of Variance Table
##
## Response: h24_long_fixed
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 95.8 47.879 0.5793 0.5628
## Age_VEP 1 54.3 54.350 0.6576 0.4200
## Residuals 73 6032.9 82.643
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 2.602925 | 2.349448 | 12 |
| ASD | 2.608024 | 1.750258 | 46 |
| TD | 4.676920 | 3.474058 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32sw_sqrt_b1 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3662 -1.4618 -0.4577 0.4688 11.5092
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.09268 1.06244 1.970 0.0527 .
## DXASD 0.06352 0.77710 0.082 0.9351
## DXTD 2.16544 0.88959 2.434 0.0174 *
## Age_VEP 0.05959 0.09464 0.630 0.5309
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.38 on 73 degrees of freedom
## Multiple R-squared: 0.1332, Adjusted R-squared: 0.09761
## F-statistic: 3.74 on 3 and 73 DF, p-value: 0.01471## Analysis of Variance Table
##
## Response: ck32sw_sqrt_b1
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 61.32 30.6607 5.4120 0.006432 **
## Age_VEP 1 2.25 2.2462 0.3965 0.530878
## Residuals 73 413.57 5.6653
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 1.270289 | 0.8568162 | 12 |
| ASD | 1.629803 | 0.8569116 | 46 |
| TD | 2.335648 | 1.6577722 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32sw_sqrt_b2 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8251 -0.7332 -0.2711 0.5021 3.2644
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.92062 0.49433 1.862 0.06658 .
## DXASD 0.39955 0.36157 1.105 0.27277
## DXTD 1.12803 0.41391 2.725 0.00804 **
## Age_VEP 0.04084 0.04403 0.927 0.35677
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.107 on 73 degrees of freedom
## Multiple R-squared: 0.1094, Adjusted R-squared: 0.07279
## F-statistic: 2.989 on 3 and 73 DF, p-value: 0.0365## Analysis of Variance Table
##
## Response: ck32sw_sqrt_b2
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 9.942 4.9712 4.0533 0.02142 *
## Age_VEP 1 1.055 1.0549 0.8601 0.35677
## Residuals 73 89.532 1.2265
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.3081765 | 0.1568777 | 12 |
| ASD | 0.3392275 | 0.2624187 | 46 |
| TD | 0.4056978 | 0.2443375 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32sw_sqrt_b3 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.34411 -0.16152 -0.05948 0.07227 1.01098
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.163422 0.107872 1.515 0.1341
## DXASD 0.047623 0.078900 0.604 0.5480
## DXTD 0.123464 0.090323 1.367 0.1758
## Age_VEP 0.016905 0.009609 1.759 0.0827 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.2417 on 73 degrees of freedom
## Multiple R-squared: 0.05873, Adjusted R-squared: 0.02005
## F-statistic: 1.518 on 3 and 73 DF, p-value: 0.217## Analysis of Variance Table
##
## Response: ck32sw_sqrt_b3
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 0.0852 0.042612 0.7296 0.4856
## Age_VEP 1 0.1808 0.180779 3.0954 0.0827 .
## Residuals 73 4.2634 0.058403
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.1713715 | 0.1297771 | 12 |
| ASD | 0.1224378 | 0.0805329 | 46 |
| TD | 0.0910183 | 0.0522059 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32sw_sqrt_b4 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.14263 -0.04947 -0.01825 0.03643 0.33071
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.142458 0.037635 3.785 0.000312 ***
## DXASD -0.045624 0.027527 -1.657 0.101734
## DXTD -0.075171 0.031513 -2.385 0.019655 *
## Age_VEP 0.003377 0.003352 1.007 0.317140
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.08432 on 73 degrees of freedom
## Multiple R-squared: 0.09536, Adjusted R-squared: 0.05818
## F-statistic: 2.565 on 3 and 73 DF, p-value: 0.06113## Analysis of Variance Table
##
## Response: ck32sw_sqrt_b4
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 0.04749 0.0237447 3.3401 0.04093 *
## Age_VEP 1 0.00721 0.0072125 1.0146 0.31714
## Residuals 73 0.51896 0.0071090
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 5.945042 | 2.229055 | 12 |
| ASD | 6.231083 | 2.024131 | 46 |
| TD | 7.844518 | 3.548980 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32tpsqrt_b1 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.9924 -1.7305 -0.1784 1.0122 9.4756
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.19265 1.11109 6.474 9.7e-09 ***
## DXASD 0.14321 0.81268 0.176 0.8606
## DXTD 1.67588 0.93033 1.801 0.0758 .
## Age_VEP -0.14570 0.09897 -1.472 0.1453
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 2.489 on 73 degrees of freedom
## Multiple R-squared: 0.1071, Adjusted R-squared: 0.07039
## F-statistic: 2.918 on 3 and 73 DF, p-value: 0.03976## Analysis of Variance Table
##
## Response: ck32tpsqrt_b1
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 40.82 20.409 3.2939 0.0427 *
## Age_VEP 1 13.43 13.429 2.1673 0.1453
## Residuals 73 452.31 6.196
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 3.336282 | 1.145131 | 12 |
| ASD | 3.333910 | 0.903124 | 46 |
| TD | 3.680339 | 1.510473 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32tpsqrt_b2 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.0640 -0.7215 -0.1886 0.5617 2.7249
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.3427794 0.5016300 6.664 4.35e-09 ***
## DXASD -0.0031157 0.3669056 -0.008 0.993
## DXTD 0.3428925 0.4200222 0.816 0.417
## Age_VEP -0.0007588 0.0446829 -0.017 0.986
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.124 on 73 degrees of freedom
## Multiple R-squared: 0.01824, Adjusted R-squared: -0.0221
## F-statistic: 0.4522 on 3 and 73 DF, p-value: 0.7166## Analysis of Variance Table
##
## Response: ck32tpsqrt_b2
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.713 0.85639 0.6781 0.5108
## Age_VEP 1 0.000 0.00036 0.0003 0.9865
## Residuals 73 92.195 1.26295
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 1.532227 | 0.4442364 | 12 |
| ASD | 1.419763 | 0.6453946 | 46 |
| TD | 1.109244 | 0.2775198 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32tpsqrt_b3 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.79920 -0.37597 -0.09263 0.26141 2.10920
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.42882 0.24620 5.803 1.56e-07 ***
## DXASD -0.10062 0.18008 -0.559 0.5780
## DXTD -0.40445 0.20615 -1.962 0.0536 .
## Age_VEP 0.01208 0.02193 0.551 0.5835
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5516 on 73 degrees of freedom
## Multiple R-squared: 0.07525, Adjusted R-squared: 0.03724
## F-statistic: 1.98 on 3 and 73 DF, p-value: 0.1245## Analysis of Variance Table
##
## Response: ck32tpsqrt_b3
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.7149 0.85745 2.8184 0.06621 .
## Age_VEP 1 0.0923 0.09225 0.3032 0.58355
## Residuals 73 22.2089 0.30423
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 1.0234029 | 0.4120794 | 12 |
| ASD | 0.9055090 | 0.5381902 | 46 |
| TD | 0.5950102 | 0.2007560 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32tpsqrt_b4 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6732 -0.3336 -0.1274 0.2290 1.5770
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.82197 0.20420 4.025 0.000138 ***
## DXASD -0.09483 0.14936 -0.635 0.527452
## DXTD -0.39229 0.17098 -2.294 0.024647 *
## Age_VEP 0.02352 0.01819 1.293 0.199974
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.4575 on 73 degrees of freedom
## Multiple R-squared: 0.1202, Adjusted R-squared: 0.08405
## F-statistic: 3.325 on 3 and 73 DF, p-value: 0.02428## Analysis of Variance Table
##
## Response: ck32tpsqrt_b4
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.7374 0.86868 4.1508 0.01962 *
## Age_VEP 1 0.3501 0.35007 1.6727 0.19997
## Residuals 73 15.2775 0.20928
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 4.440379 | 1.248844 | 12 |
| ASD | 4.789779 | 1.488196 | 46 |
| TD | 4.918772 | 1.711792 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32np_sqrt_b1 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3029 -0.9159 -0.2017 0.8408 4.7126
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 6.16815 0.62650 9.845 4.93e-15 ***
## DXASD 0.15160 0.45824 0.331 0.741723
## DXTD 0.16874 0.52458 0.322 0.748624
## Age_VEP -0.20178 0.05581 -3.616 0.000548 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.404 on 73 degrees of freedom
## Multiple R-squared: 0.1605, Adjusted R-squared: 0.126
## F-statistic: 4.653 on 3 and 73 DF, p-value: 0.004954## Analysis of Variance Table
##
## Response: ck32np_sqrt_b1
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.742 0.8709 0.4421 0.6444185
## Age_VEP 1 25.755 25.7546 13.0736 0.0005479 ***
## Residuals 73 143.808 1.9700
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 2.656514 | 0.9885294 | 12 |
| ASD | 2.399284 | 0.6879778 | 46 |
| TD | 2.203136 | 0.4581027 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32np_sqrt_b2 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.1399 -0.4632 -0.1145 0.2780 2.3294
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.91547 0.31016 9.400 3.33e-14 ***
## DXASD -0.28688 0.22686 -1.265 0.2101
## DXTD -0.49979 0.25970 -1.924 0.0582 .
## Age_VEP -0.03024 0.02763 -1.095 0.2773
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6949 on 73 degrees of freedom
## Multiple R-squared: 0.05618, Adjusted R-squared: 0.0174
## F-statistic: 1.449 on 3 and 73 DF, p-value: 0.2357## Analysis of Variance Table
##
## Response: ck32np_sqrt_b2
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.520 0.75984 1.5737 0.2142
## Age_VEP 1 0.579 0.57856 1.1982 0.2773
## Residuals 73 35.247 0.48284
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 1.3881876 | 0.4560218 | 12 |
| ASD | 1.2525501 | 0.6286934 | 46 |
| TD | 0.8945551 | 0.2377827 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32np_sqrt_b3 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.64866 -0.38785 -0.08827 0.22501 2.21015
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.37337 0.23992 5.724 2.16e-07 ***
## DXASD -0.13394 0.17548 -0.763 0.4478
## DXTD -0.49098 0.20089 -2.444 0.0169 *
## Age_VEP 0.00173 0.02137 0.081 0.9357
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5375 on 73 degrees of freedom
## Multiple R-squared: 0.09872, Adjusted R-squared: 0.06168
## F-statistic: 2.665 on 3 and 73 DF, p-value: 0.0541## Analysis of Variance Table
##
## Response: ck32np_sqrt_b3
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 2.3081 1.15406 3.9946 0.02258 *
## Age_VEP 1 0.0019 0.00189 0.0066 0.93569
## Residuals 73 21.0898 0.28890
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.9572566 | 0.3848351 | 12 |
| ASD | 0.8523702 | 0.5274427 | 46 |
| TD | 0.5537524 | 0.1987743 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32np_sqrt_b4 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6411 -0.3217 -0.1132 0.1991 1.5612
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.76610 0.19924 3.845 0.000255 ***
## DXASD -0.08300 0.14573 -0.570 0.570716
## DXTD -0.36924 0.16682 -2.213 0.029996 *
## Age_VEP 0.02232 0.01775 1.258 0.212431
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.4464 on 73 degrees of freedom
## Multiple R-squared: 0.1149, Adjusted R-squared: 0.07855
## F-statistic: 3.159 on 3 and 73 DF, p-value: 0.02967## Analysis of Variance Table
##
## Response: ck32np_sqrt_b4
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.5731 0.78657 3.9480 0.02355 *
## Age_VEP 1 0.3153 0.31525 1.5824 0.21243
## Residuals 73 14.5438 0.19923
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| DX | Mean | Standard Deviation | Sample Size |
|---|---|---|---|
| ADNP | 0.9572566 | 0.3848351 | 12 |
| ASD | 0.8523702 | 0.5274427 | 46 |
| TD | 0.5537524 | 0.1987743 | 19 |
## **Multiple regression including Dx and Age, Reference is ADNP**##
## Call:
## lm(formula = ck32np_sqrt_b4 ~ DX + Age_VEP, data = av)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6411 -0.3217 -0.1132 0.1991 1.5612
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.76610 0.19924 3.845 0.000255 ***
## DXASD -0.08300 0.14573 -0.570 0.570716
## DXTD -0.36924 0.16682 -2.213 0.029996 *
## Age_VEP 0.02232 0.01775 1.258 0.212431
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.4464 on 73 degrees of freedom
## Multiple R-squared: 0.1149, Adjusted R-squared: 0.07855
## F-statistic: 3.159 on 3 and 73 DF, p-value: 0.02967## Analysis of Variance Table
##
## Response: ck32np_sqrt_b4
## Df Sum Sq Mean Sq F value Pr(>F)
## DX 2 1.5731 0.78657 3.9480 0.02355 *
## Age_VEP 1 0.3153 0.31525 1.5824 0.21243
## Residuals 73 14.5438 0.19923
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
methylation
##old below