Spearman's rank correlation coefficient was calculated to evaluate correlations between two continuous variables. Univariate and multivariate logistic regression were applied to analyze binary independent variables; p-values < 0.05 were considered to indicate statistical significance. Gaussian mixture modeling ...
10 or decimal system as here we use 10 unique digits i.e 0 to 9 to represent all the numbers. Another widely used system is binary i.e. the base is 2. It uses 0 and 1 i.e 2 digits to express all the numbers. This is how you can encode categorical variables using different ...
We have assumed a weight wi=xi/bi to each binary variable (e.g. presence/absence in bare areas) required to reclassify the main trait (Habitat selection), where xi is the original weight given to the main biological trait i and bi is the number of binary variables required to re-code ...
What is the difference between a series of economic data over time measured in nominal terms versus the same data series over time measured in real terms? In a negative relationship, (a) both variables fall together. (b) one variable rises while the other ...
Differential transcript expression analyses adjusted for age were performed using DESeq2 with CFR as binary and continuous variables. Ingenuity Pathway Analysis (IPA) was performed to identify differentially expressed canonical pathways with nominal p-values <0.05 and a z-score 鈮 2|. Results: Seven...
Categorical Variables: When there is information that categorizes the observations, this means that there is qualitative data. There are three types of qualitative variables which are categorical, binary, and ordinal. The bar chart is the most suitable one to plot these ...
Differences in continuous variables between groups were checked using analysis of variance (ANOVA). Analysis of contingency tables (the χ2-test) was used to determine the association between nominal variables. Correlations between two variables were assessed using Pearson’s product-moment correlation ...
Descriptive results (N, mean, standard deviation) are presented in Table1. Results are split on the basis of nominal variables (gender, ethnicity, Vaccine Intake Intent). Descriptive plot for Vaccine Intake Intent is presented in Fig.1. Sample size was 401, 281 were women, and 290 were Arab...
Indicated P values were obtained using a logistic regression with Wald test, with serostatus binary variables (seropositive versus seronegative) as the response, and age and sex as treatments. Similar plots from all examined serologies are provided in Additional file 2: Figure S5. c Effect ...
(p < 0.05) among carriers although only at a nominal non-correctedp < 0.05 (Fig.5A). No infectious disease phenotypes were found to be more common (p < 0.05) among M249K carriers (Additional file 2: Table S5). Senile cataract was more common among carriers (p < ...