Sentence examples for tabulation and regression from inspiring English sources

Descriptive statistics, Chi-square, cross tabulation and regression analysis were used as analysis tools.

Data analysis were made using descriptive statistics (mean, percentage), Chi-square, cross tabulation and regression analysis by the help of statistical package for social science (SPSS) version 20.0 software and Microsoft excel.

We will conduct basic tabulations and regression analyses comparing differences in the proportions of women in reproductive age and children under five years at baseline and end-line for variables such as contraceptive prevalence, vaccination coverage, skilled attended delivery, care-seeking for childhood illnesses, among others.

Different forms of analysis like descriptive statistics, cross tabulation and logistic regression were applied to present the results.

Overall satisfaction with teeth appearance/functioning was constructed as a sum variable from the 2 variables and dichotomized for use in cross tabulation and logistic regression analysis.

It was recorded as Class I (CL I = 1), II (CL II = 2) and III (CL III = 3), and dichotomized into 0 (CL I) and 1 CL II and III) for use in cross tabulation and logistic regression analysis.

Overall satisfaction with teeth was constructed as a sum variable from 4 variables (satisfaction with mouth/teeth, position of teeth, appearance and colour of teeth) and dichotomized for use in cross tabulation and logistic regression analysis.

For the purpose of cross tabulation and logistic regression analysis the OIDPSC score (0 8) was dichotomized as 0/1+, producing the categories (0) "no daily performance affected" and (1) "at least one daily performance affected".

For purpose of cross tabulation and logistic regression analysis the OIDPscore (0 8) was dichotomized as 0/1+, producing the categories (0) "no daily performance affected" and (1) "at least one daily performance affected".

It was considered increased when the value exceeded 5 mm, and dichotomized into 0 < 5 mm and 1 ≥ 5 mm for use in cross tabulation and logistic regression analyses.

The sum score was dichotomized based on a median split into (1) "moderate to great need" and (0) "slight need/no need" for use in cross tabulation and logistic regression analysis.