Sentence examples for regression proportion from inspiring English sources

After univariate analyses, multivariate analyses using survival models (time to recurrence) and logistic regression (proportion of ACPR) will be performed where the therapeutic success will be explained by the degree of malnutrition and other cofactors, including lumefantrine PK profile.

Pooled regression proportions for initial, combined and salvage treatment were respectively 21%, 33 % and 52 in radiosurgery studies and 4%, 0% and 64% in exteradiosurgerydiotherapy studies.

In multilevel analysis, multiple levels are taken into account and in linear multilevel regression the proportion of variance at each level can be calculated.

When evaluating results of linear regression, neuronal proportion (NP) was considered only for 154,874 CpGs previously reported to be differentially methylated between the two cell types [ 54].

Statistical analysis consisted of two-way analyses of variance (ANOVA) on the mean male and female biomass and time to maturity from each microcosm, and logistic regression on proportion survival.

On multivariable logistic regression, the proportion of HIV infection in TB suspects was significantly lower among ethnic Afars [OR=0.16 (95% CI: 0.07 0.37)]; on the other hand, being literate was independently associated with a significantly higher proportion of HIV infection [OR=2.21 (95% CI: 1.05 4.64)].

To perform regression using proportions, beta regression was used as described by Ferrari and Cribari-Neto using MATLAB.

Results of randomization regressions of proportion occupancy vs. log-transformed water volume and leaf litter mass.

Using logistic regression these proportions were adjusted for age at diagnosis, socioeconomic deprivation and stage at diagnosis.

Robust statistical strategies including β regression for proportions and cluster analysis were used to reduce bias in the analyses.

Absolute numbers of prescriptions were modeled by using linear regression, while proportions of prescriptions were modeled by using negative binomial regression.