Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The Kaplan-Meier survival estimate showed significant differences between the groups for the primary outcome of one-year morality (log rank test P = 0.04).
Similar(59)
A t-test comparison of these parameter estimates showed significant differences in the average parameter estimates between BH boys and Lungwena boys for both the height and weight growth model (Table 2).
Figure 9a gives the scree plots of the population eigenvalue estimates, showing significant differences between estimates, and none of the estimates matches closely with the real population eigenvalues.
NHIS and BRFSS estimates were similar, with NHANES estimates showing significant differences (Table 5).
Log-rank analyses (Kaplan Meier estimates) also showed significant differences in favour of the MSC patients in the cumulative probabilities of both progression-free and overall survivals.
Comparing estimates based upon these subsets, 11 (7.86%) of the 140 t-tests showed significant differences in the estimates generated, which was non-significant when a 95% confidence interval from a Binomial distribution was applied.
The cumulative incidence of amputation, estimated using the Kaplan-Meier methods showed significant differences and was 0.11-times higher for the HPD cohort than for the comparison cohort.
Overall prevalence estimates of impairments, including presumed HI, showed significant differences comparing KIM (9.0/1000 (95% CI 8.7 to 9.4)) with the household survey (14.7/1000 (95% CI 12.0 to 17.3)).
The analysis of estimated CrCl for different levels of renal function showed significant differences to [Tc99m] DTPA clearance.
Comparison of the person estimates generated from these two subsets indicated that eight (7.41%) of the 108 t-tests showed significant differences in the estimates generated, which was non-significant when a 95% confidence interval from a Binomial distribution was applied.
Only six (5.13%) of the t-tests showed significant differences in the estimates generated from each subset of items, which was non-significant when a 95% confidence interval from a Binomial distribution was applied.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com