Sentence examples for categorical determinants from inspiring English sources

Exact(1)

will be assessed using inference statistical analysis (Mann–Whitney U-test or Kruskall Wallis test for categorical determinants; P-values <0.05 will be regarded as nominally significant in double-sided tests).

Similar(59)

Rp is a categorical determinant as the read classifier showed a characteristic behavior in the predicted output for a given value of replica (Rp) with change in time tg.

The term 'frame' represents categorical factors or determinants likely to support the infrastructure of an overarching framework – in this case, the WHO's Commission on Social Determinants of Health's (CSDH) framework (16).

Comparisons among these groups in relation to sociodemographic indicators, psychological symptoms, and coping strategies were established using chi-square tests for categorical variables and Anova for continuous determinants.

In some probit specifications of the determinants of smoking, a categorical time preference variable is included, and in other models, an alternative binary classification of time preference for young adults and mothers where longer planning horizon is restricted to those who claim they plan their finances more than 2 years in advance is estimated.

All models were adjusted for known determinants of pregnancy outcomes, determined a priori (Coolman et al. 2012; Sibai et al. 2005), including maternal age, body mass index, parity, ethnicity, education, smoking, alcohol consumption, folic acid supplementation use, gestational age at measurement, and infant sex (coded as continuous or categorical variables; Table 1).

When reviewing the changing pattern of results from use of different stimulus sets, we concluded that the main determinant of whether or not a categorical impairment of either sort is found in AD is which stimulus properties are controlled during stimulus selection.

The study estimated the determinants of perception KAP index, which is a categorical variable that takes the value of 1 when the producer is least concerned about disease spread within a village when there is a disease case in the village and the value of 4 when the producer is most concerned.

The determinants evaluated were age (continuous), BMI (continuous), smoking (categorical: ever/never; continuous: cigarettes/day), and number of meals of seafood per week (not for Swedish fishermen).

Furthermore, there were differences in how the determinants under study were measured, (continuous, dichotomous, or categorical), and varying cutoff points were used.

Independent determinants used were age, age of diagnosis (as a categorical variable in model 1 and as a continuous variable in model 2), A1C, weight, metabolic syndrome (as individual factors and as a dichotomous variable), duration of diabetes, sex, ethnicity, and family history of diabetes.

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