A key issue addressed is the Gaussian modeling of log-likelihood ratios (LLRs) generated by nodes representing the joint source probabilities in the combined factor graph of the two LDPC codes, referred to as source-channel factor (SCF) nodes.
This method is based on data observed from six human samples captured using a single-exome capture platform, and involved the modeling of log-ratios using the Geary Hinkley transformation for which a normally distributed exon-level DOC is assumed.
Behavioral means for each strain were estimated using general linear modeling of log-transformed PD i. Variance proportions for PD i were estimated from log-transformed averages across all sessions and segments [ 27].
Results are reported as percent reductions and significance is based on t-tests and ANOVA models of log reductions.
All association p values are from linear models of log(BMI).
We fit a mixed-effects model of log endotoxin levels as a function of room and season adjusting for the correlation of repeated measurements within the same home.
A mixed-effects model of log dust and log gas-phase air concentrations with chemical designated as a random effect also revealed a significant relationship between air and dust (β = 0.34, p < 0.001).
To estimate the average annual reduction in under-five mortality across the 213 districts retained in the analysis, we fitted various random effects models of log (under-five death rate) against year to the data from these districts.
Once comorbidity was taken into account, the hospitalization costs did not differ between children and adults (p < .7).>> Results for the regression analysis for the two part model of log total costs are given in Table 5.
Preliminary data from the ORPS cohort (1,697 sets of urines from 479 subjects) indicated that the log standardized ACR based on the residuals from a regression model of log ACR adjusted for age, gender, age at diagnosis and duration of diabetes at 11-15 years was highly predictive of risk for the development of MA [ 44].
Section 2 provides a review on statistical models of log-logistic, log-normal, Weibull, and Nakagami, and discusses their applicability for foliage clutter modeling.
