Sentence examples for matching variables in from inspiring English sources

Equations based on physical laws describe how variables in each box mainly pressure, temperature, humidity, and wind speed influence matching variables in adjacent ones.

Based on the correspondences contained in '_Structure.dta' between variables of interest and matching variables in each dataset, variables would be renamed to names of the variables of interest.

The input variables for the model were derived by matching variables in the Agincourt VA questionnaire (47) or identifying specific text strings in the narrative fields.

Supplementary data, Table S1 compares the pooled ORs from the main analysis with those only based on studies that allowed for potential confounders (by including them as matching variables in case control studies, or in the statistical analysis).

gUnconditional logistic regression adjusted for matching variables in footnote f and age at menarche, age at first birth/parity, BMI at age 18 years, weight gain since age 18 years, benign breast disease, first-degree family history of breast cancer, and duration of postmenopausal hormone use.

Furthermore, before the end of the first iteration, search C (i.e. matching variables in other surveys) cannot lead to any result because '_Structure.dta' will not have been updated yet; so, it is useful to run the processes at least a second time to get the suggested variables from search C, in the cases this is needed.

However, it would be interesting to consider accounting for this frequency matching variable in the weights of the WC models [ 12], and to investigate the performance of the resulting estimators through simulation of frequency matched case-control data.

(j) Checking that candidate variables have not already been used: each matching variable in 'SearchB' is searched with [markin] in '_Structure.dta' in order to find out whether it has already been used for another variable of interest in the same dataset.

The added value of this algorithm is that it systematically searches for matching variables and automates the decision rules to match variables in the existing datasets with the variables of interest for the analyses.

Age and sex were matching variables implicit in the conditional logistic regression.

Secondary analyses will include matching variables as covariates in the regression model to adjust for residual imbalances and possible confounding.