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Overall mortality was selected as the primary outcome for the sample size calculation.
Next, the variable with the highest partial correlation with 30-day mortality was selected, holding the initial variable constant.
For our analyses, all cause mortality was selected as the primary outcome, with deaths from cardiovascular disease and coronary heart disease as secondary outcomes.
A final set of predictors for each of 28-day and 6-month mortality was selected from these variables via a stepwise Cox proportional hazards regression model.
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Studies that address the effect of various strategies on sepsis- or septic shock-induced mortality were selected among PubMed indexed publications from 2001 to 2013.
Three representative indicators of four parameters (environmental, health care-related, economic and demographic), which might had affected pandemic A (H1N1) 2009 mortality, were selected.
To simplify clinical application the final model was repeated with significant laboratory test results dichotomized or trichotomized as described earlier and three of those variables with the highest odds ratios for one-year mortality were selected for inclusion into the clinical score.
Variables significantly correlated with mortality were selected for multivariate analysis.
In-hospital all-cause mortality and 1-year all-cause mortality were selected because they represented short- and long-term outcomes.
Several SNPs and haplotypes were also associated with a higher severity and poor outcome; MODS, ARDS, and mortality were selected because they represent the more severe clinical phenotypes.
For the calculation of long-term cancer-specific survival, patients without postoperative mortality were selected (n = 219), and only cancer-related cause of death was scored.
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