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Table 5 Intra-embedding distribution of coefficient 1

From: Using bundle embeddings to predict daily cortisol levels in human subjects

 

Global models

Optimal models

 

Full emb.

Night

Day

TOD

Full emb.

Night

Day

ID

val

sd

val

sd

val

sd

val

sd

val

sd

val

sd

val

sd

1

− 0.98

0.008

− 0.77

0.014

− 2.25

0.071

−0.95

0.015

− 1.06

0.044

−0.84

0.040

−2.32

0.099

2

−1.02

0.020

−0.82

0.022

−2.11

0.101

− 1.03

0.022

−1.02

0.020

−0.82

0.022

−2.09

0.110

3

−0.98

0.003

−0.93

0.006

−1.06

0.347

−0.95

0.009

−1.11

0.104

−0.94

0.008

−1.06

0.347

4

−1.00

0.010

−0.68

0.013

−2.70

0.105

−1.18

0.029

−1.14

0.072

−0.69

0.017

−2.70

0.105

5

−1.00

0.004

−1.02

0.007

−0.45

0.818

−0.98

0.011

−1.19

0.126

−1.03

0.009

−0.45

0.818

6

−1.00

0.005

−0.90

0.020

−2.22

0.431

−1.08

0.017

−1.16

0.081

−0.90

0.020

−2.27

0.297

7

−1.84

0.035

−0.84

0.013

−3.43

0.156

−1.42

0.028

−2.15

0.649

−1.03

0.119

−3.64

0.308

8

−1.01

0.006

−0.81

0.011

−2.29

0.066

−1.02

0.009

−1.05

0.036

−0.84

0.020

−2.31

0.081

9

−0.99

0.006

−0.94

0.017

−2.35

0.084

−1.04

0.012

−1.12

0.073

−1.33

0.281

−2.50

0.218

10

−0.99

0.004

−0.87

0.013

−1.77

0.620

−0.98

0.014

−1.08

0.056

−0.94

0.049

−1.77

0.620

  1. Note: ID = subject ID, val = average value of coefficient 1 per target, sd = standard deviation of coefficient 1 within an embedding, Night = night bundle, Day = day bundle, TOD = TOD-corrected model