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In the discrimination analyses using the calculated characters (without CD/CSR), all of the individuals were grouped together, except for the high-mountain Lebanese population (LB3) and the Cypriote population (CY) (data not shown).
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Time-to-event analyses using the Kaplan Meier method were calculated from the start of therapy and were not adjusted for second-line therapies.
We applied Cox Proportional Hazards Models to perform the statistical analyses, using the SAS Software Package (version 9.1) to calculate hazard ratios of mortality with corresponding 95% confidence intervals.
We conducted three separate factor analyses (using the principal-factor method for calculating the correlation matrix) to create composite measures of SES: (1) prenatal – SES variables measured during pregnancy; (2) postnatal – SES variables assessed when the child was between the ages of 2 years and 3 years; and (3) combined –both pre- and postnatal SES variables.
The data were analysed using the Target/Reference ratio calculated with the LightCycler® 480 software 1.5, enabling a comparison of the level of expression of two different genes normalised to two reference genes: actin and subunit protein phosphatase 2A (PP2A) [ 31].
Data were analysed using the sequence detection software, which calculates the Ct value.
Levels of transgressive overyielding [see 45 for details], using the appropriate maximum monoculture level of ecosystem functioning as the basis for comparison, were also calculated and analysed using the statistical framework used for non-transgressive overyielding.
Data were analysed using the Sequence Detection Software (Applied Biosystems), this calculated the threshold cycle (Ct) value.
This alignment was analysed using the SNAP.pl program [ 31- 33], which calculates the number of synonymous mutations as a proportion of possible synonymous mutations, and similarly for non-synonymous mutations, and returns a ratio of these two values.
The data were analysed using weights calculated to correct for unequal household selection probabilities and for survey non-response.
Because other demographic and health characteristics were not significantly different in bivariate analyses, these variables were not included in the regression analyses used to calculate odds ratios.
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