Table 16. Maternal hematocrit models (percentage vs. maternal mass in kg for power law models, percentage vs. gestational age in weeks for all other models).

Model	${\widehat{\mathit{\theta }}}_0$	${\widehat{\mathit{\theta }}}_1$	${\widehat{\mathit{\theta }}}_2$	${\widehat{\mathit{\theta }}}_3$	$\mathcal{l}\left(\widehat{\mathit{\theta }}\right)$	AIC
Linear	39.400	-0.13373	—	—	-11567.9	23139.8
Quadratic	39.192	-0.10562	-7.1045×10−4	—	-11566.3	23138.5
Cubic	39.175	-0.098154	-0.0012141	8.7385×10−6	-11566.2	23140.4
Modified Gompertz	-12.358	0.29062	1.3862	51.498	-11825.5	23659.0
Modified Logistic	-75.243	0.0090404	129.80	57.099	-11566.9	23141.7
Power Law	402.84	-0.56685	—	—	-11577.1	23158.2
Luecke Power Law	1.0551	2.2505	-0.33372	—	-11575.7	23157.4

For each model considered, the maximum likelihood parameter estimates ($\widehat{\theta }$), log-likelihood ($\mathcal{l}\left(\widehat{\theta }\right)$), and AIC are provided. The row describing the selected model is shown in boldface.