Sentence examples for missing determinants from inspiring English sources

In spite of numerous studies, the transcriptional network and the developmental cascades that govern specification and early differentiation of dopaminergic or serotonergic neurons reveal missing determinants, and are not yet understood.

Although these neuronal subpopulations reveal positional and developmental relationships, the developmental cascades that govern specification and differentiation of mDA or 5-HT neurons reveal missing determinants and are not yet understood.

We explored the influence of introducing an additional explanatory variable in our health effects regressions to indirectly account for both neighborhood effects and the missing determinants of observed hospital admissions by computing average admissions either within a 3- or 4-km radius around each census tract (similarly considered by Özkaynak and Thurston 1987).

Although only marginally significant, this result is in line with the prediction that these genes are members of a co-adapted gene complex and illustrates that searching for main effects alone will could miss relevant determinants of complex phenotypes, although a replication of this association in an independent cohort would be needed before any conclusions can be drawn.

For the cause-specific mortality analyses, individuals with an unknown cause of death (CoD) or those who were missing data for determinants included in the regression models were excluded from the study population.

A weakness of the study is that the paternal determinants were missing for 26% (n = 116) of the subjects, and in the subjects with paternal information, the paternal determinants were presented by the fathers themselves in only 28% (n = 91).

Some studies have suggested that determinants of missing data in QoL questionnaires are multiple and diverse, and may be socio-demographic (sex, age, educational level, marital status, etc).

Because many values of the potential determinants were missing, the number of available observations in the confounder analyses are much smaller than in the unadjusted analysis on the full data set (full data set, n = 250; block I of confounders, n = 192; block II, n = 104).

Second, the in silico epitope prediction may have missed important immunogenic determinants.

The latter occurs, for example, if the probability that a particular value is missing is correlated with certain determinants.

Missing values in the possible determinants were imputed using the MICE technique (Multiple Imputation Using Chained Equations).