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Standard errors for the SMR and the DRS CMF for the DAVROS data have been calculated using the formulae in the Appendix (see Additional file 1) and by a simple bootstrap taking 1000 samples with replacement from each centre, calculating the SMRs and DRS CMFs for each sample, and calculating their standard deviation from the average value in the bootstrap samples.
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Researchers measure the amount of plastic in each sample and calculate the weight of each fragment.
Conduct the experiment to obtain the random sample and calculate the estimate from the sample.
The scatter plots compared control against control or sample against sample and calculated a correlation coefficient (Figure 1).
Levels of each reprogramming factor were normalized to GAPDH for each sample, and calculated relative to the endogenous levels in ES cells (2 copies of each factor per genome).
Simple frequency distribution procedures were used to describe the study sample, and calculate eligibility, acceptance and participation rates.
In our analysis, we generated 1000 samples from the original dataset, calculated the population attributable fractions for each sample, and calculated the 95% confidence interval.
We also documented longitude and latitude of each sample and calculated geographic distances between sample sites using a 12 channel GPS (Garmin, Taipei, Taiwan).
We fit a Cox regression model for each cohort to the learning sample, and calculated the C-statistic on the validation sample.
We also used EdgeR to compute the log2 counts per million (CPM) for each sample and calculated the average log2 CPM for 5, 24 and 36 month animals.
We arbitrarily chose one original bisulfite modified DNA as a reference sample and calculated the correlation and beta value difference from those of other products.
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