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All the variables remaining in the final cross-sectional binary logit model take statistically significant coefficients.
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However, even using the random-effects model, taking account of the variation between the different studies yielded a statistically significant estimate of LV dysfunction.
Experimentally designed, statistically evaluated with a factorial design (FD) approach with intent to provide a mathematical model takes into account the parameters influencing process performance.
47 models took part, featuring 81 looks.
Because modeling takes skillz.
Finally, based on between-study variation in clinical protocols and statistically significant heterogeneity, we used random effects models which take into consideration both between-study and within-study variation for pooling data across studies.
Statistically significant better fit of the second model was taken as evidence for country specific differences regarding the relationship.
The effect of statins was explored in regression models accounting for within-patient correlation, with P < 0.05 taken as statistically significant.
A p value of <0.05 was taken as statistically significant.
Standard p values <0.05 were taken as statistically significant.
In all cases P≤0.05 was taken as statistically significant.
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