Table 4. Results of the variance... | American Society of Hematology

Table 4.

Results of the variance components analysis

Trait	χ²Goodness-of-fit of Model, χ²/r				Parameters of Best-Fitting Model^4-151
Trait	ACE df = 3	ADE df = 3	AE df = 4	CE df = 4	h²	c²	e²
FC	4.825	6.409	6.409^4-150	166.9	.89	[0]	.11
	(.185)	(.093)	(.171)	(<.001)
Hb	.098^4-150	14.72	14.72	15.94	.37	.30	.33
	(.992)	(.002)	(.005)	(.003)
PCV	.265^4-150	30.17	30.17	13.16	.30	.40	.30
	(.966)	(<.001)	(<.001)	(.011)
RBC	.707^4-150	17.70	17.70	24.75	.42	.30	.28
	(.872)	(.001)	(.001)	(<.001)
MCV	1.317^4-150	40.25	40.25	5.556	.20	.46	.34
	(.725)	(<.001)	(<.001)	(.161)
MCH	.996^4-150	11.13	11.13	16.19	.39	.26	.35
	(.802)	(.011)	(.025)	(.003)
MCHC	.258	175.6	175.6	1.288^4-150	[0]	.79	.21
	(.968)	(<.001)	(<.001)	(.863)
WBC	.885	2.303	2.303^4-150	21.97	.62	[0]	.38
	(.829)	(.512)	(.608)	(<.001)
Platelets	1.372^4-150	6.560	6.560	44.02	.57	.17	.26
	(.712)	(.087)	(.161)	(<.001)

Trait	χ²Goodness-of-fit of Model, χ²/r				Parameters of Best-Fitting Model^4-151
Trait	ACE df = 3	ADE df = 3	AE df = 4	CE df = 4	h²	c²	e²
FC	4.825	6.409	6.409^4-150	166.9	.89	[0]	.11
	(.185)	(.093)	(.171)	(<.001)
Hb	.098^4-150	14.72	14.72	15.94	.37	.30	.33
	(.992)	(.002)	(.005)	(.003)
PCV	.265^4-150	30.17	30.17	13.16	.30	.40	.30
	(.966)	(<.001)	(<.001)	(.011)
RBC	.707^4-150	17.70	17.70	24.75	.42	.30	.28
	(.872)	(.001)	(.001)	(<.001)
MCV	1.317^4-150	40.25	40.25	5.556	.20	.46	.34
	(.725)	(<.001)	(<.001)	(.161)
MCH	.996^4-150	11.13	11.13	16.19	.39	.26	.35
	(.802)	(.011)	(.025)	(.003)
MCHC	.258	175.6	175.6	1.288^4-150	[0]	.79	.21
	(.968)	(<.001)	(<.001)	(.863)
WBC	.885	2.303	2.303^4-150	21.97	.62	[0]	.38
	(.829)	(.512)	(.608)	(<.001)
Platelets	1.372^4-150	6.560	6.560	44.02	.57	.17	.26
	(.712)	(.087)	(.161)	(<.001)

Values in parentheses are the corresponding P value for each model tested on each variable.

ACE, ADE, AE, and CE are models described in the .

Most parsimonious model.

Maximum likelihood estimates of the parameters.