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Table 5 Mixed model analysis estimates of fixed effects and covariance

From: Development of a novel, sensitive translational immunoassay to detect plasma glial fibrillary acidic protein (GFAP) after murine traumatic brain injury

Plasma pool

Mean concentration (pg/mL)

Group variation

Intra-assay variation

Inter-assay variation

SE (pg/mL)

Variance (pg/mL)

SD (pg/mL)

SE (pg/mL)

%CV

Variance (pg/mL)

SD (pg/mL)

SE (pg/mL)

%CV

All (model 1A)

1720.0

93.5

3484.7

59.0

26.4

3.4

17,763.2

133.3

59.6

7.7

Low (model 2B)

43.4

–

4.0

2.0

0.9

4.6

3.5

1.9

0.8

4.3

Intermediate (model 3C)

136.6

–

23.5

4.8

2.2

3.5

24.2

4.9

2.2

3.6

High (model 4D)

4979.9

–

0.0

0.0

0.0

0.0

70,844.3

266.2

119.0

5.3

  1. AAll groups: plasma pool = fixed effect, technical replicate = random effect nested in assay date, assay date = random effect. BLow plasma pool: technical replicate = random effect nested in assay date, assay date = random effect. CIntermediate plasma pool: technical replicate = random effect nested in assay date, assay date = random effect. DHigh plasma pool: technical replicate = random effect nested in assay date, assay date = random effect. SD for intra-assay and inter-assay variation were calculated as follows: SD= √variance). SE for intra-assay and inter-assay variation were calculated as follows: SE = SD/(√n), n = 5. SE standard error, SD standard deviation, CV coefficient of variation