Sentence examples for information on multiple variables from inspiring English sources

Vector and path plots are useful graphical methods for exploratory data analysis when individual-level information on multiple variables over time is desired, and they have several advantages over plotting each variable separately.

26 The main variables in the registry include maternal age, parity, birth weight, gestational age, maternal smoking status during pregnancy, citizenship, data on delivery, and information on multiple pregnancy.

In our graphs, the base of the arrows are not arranged on a grid but encode information on the initial values of multiple variables and the tips of the arrows are the final values on these same variables, with one vector for each patient.

In this paper, we report results from one of first such modeling exercises that estimates average household concentrations of PM2.5 from solid cookfuel use by state and nationally for India, on the basis of quantitative air pollution measurements and information on household variables from multiple states.

Gears requires the ability to think tactically and make subtle judgments based on scant information, a constant awareness of multiple variables (ammunition stores, enemy weaknesses) as they change throughout the game, and the spatial sensitivity to control one's movement through a space in which the "right" direction is not always apparent.

In 1997/98, after exclusion of births from non-residents (n = 290), stillbirths (n = 48), multiples (n = 50) and missing information on study variables (n = 17), 2426 cases remained for analysis.

Given the availability of information on sociodemographic variables, we assumed that missingness is dependent on observed data and used multiple chained equations using all study variables and sociodemographic indicators to impute 30 data sets.

The third component consisted of 10 multiple choice and short answer questions added to the survey to capture information on sociodemographic variables.

In 2010, after exclusion of stillbirths (70), multiple births (99), newborns weighing <500 g (n = 3), and missing information on study variables (n = 24), data from 5,040 births remained for analysis.

Note that this paper focuses on examining the optimum conditions for removal of humic substances when multiple variables are considered simultaneously; the information derived is particularly important for scaling up operation.

The results from analyses using multiple imputations to handle missing data on potential confounders were not materially different from the results of analyses restricted to participants with complete information on all variables (Table 3).