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A meta-analysis was performed using a random-effects model with effect sizes weighted by the sampling variance.
These control the quality of a reservoir model with effect on wells production behavior and prediction performance.
We used one model with effect size of learning on the CINS-abbr as the response variable and one model with effect size of learning on the cheetah question as the response variable.
Single SNP analyses were conducted using a generalised linear model with effect sizes and quartile analyses with ORs, adjusting for clinical covariates.
With the current study design (unmatched 1 3 case control ratio), and under the assumption of additive model with effect size of 2, we calculated the statistical power for cohort 1, cohort 2 and combined cohort to be 73%, 88%and98%8%, respectively, to detect the effects of a polymorphism (for example rs761142) with minor allele frequency of 0.3 at α = 0.05.
This is considered to be clinically significant; for example, a recent study of predictors of recovery [ 8] in the same setting showed that baseline PHQ-9 and GAD-7 scores were independently associated with recovery rates in a multiple regression model, with effect sizes ranging 0.14-0.21.
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Conditional logit model with effects coding was used to estimate part-worth utilities for different attribute levels and the relative importance of each attribute.
To summarise, ZD6474 exerts significant antitumour effects in an intracerebral glioma model with effects on both endothelial and tumour cells.
A Linear Mixed Model (REML) was run in GenStat [ 42] using a model with effects for Tissue x Treatment with Bird as the Block effect.
Due to collinearities between the strain choice and article, a model with effects for both strain and article was not evaluated.
The primary and secondary efficacy endpoints were analysed using an analysis of covariance (ANCOVA) model with effects due to baseline measurement, region, sex, age and treatment group.
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