Sentence examples for methods differences are from inspiring English sources

For the remaining methods, differences are indeed largely non-significant except for the bias.

HPLC-methanol was added to each flask: 3 ml for RM20S samples and 2 ml for VC 10 samples (method differences are discussed later).

Differences between means were assessed with Student's t tests and corrected for multiple comparisons using a modified Holm-Bonferroni method; differences are taken as significant when p < 0.05.

Significant inter-method differences were observed in electrochemical behaviour of standard substance – gallic acid – and phenolic constituents of real wine samples in the presence of tartaric acid.

Univariable RFS and CSS probabilities were estimated using the Kaplan Meier method; differences were assessed using the log rank test.

The inter-method concordance rates (the samples with consistent CNs between two methods/the samples with CNs determined by both methods) were compared using Chi-square test, and the inter-method differences were visually analyzed by Bland-Altman plots.

Time-to-event end points were analysed with the Kaplan Meier method; differences were compared using the log-rank test with a two-sided P-value of <0.05 being regarded as statistically significant.

Time-to-event endpoints were analyzed with the Kaplan-Meier method; differences were compared using the log-rank test with a 2-sided p-value of ≤0.05 being regarded as statistically significant.

Consequently, for VO2, between-method differences were tested for the sum of the slopes of the linear and quadratic terms of Actigraph counts (representing the total 'effect' of Actigraph counts).

Consequently, for VO2, between-method differences were tested for the sum of the slopes of the linear and quadratic terms of Actigraph counts (representing the 'effect' of Actigraph counts).

Using both ML and LS superposition methods, significant differences are seen when the missing data are accounted for properly.