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Four experiments investigated the origin of associative and categorical memory illusions by comparing the effects of study and test associations on Deese/Roediger McDermott (DRM) and categorized lists.
Summary receiver operating characteristic analysis was performed to study potential effects of study and patient characteristics.
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These findings indicate the complexity of interpreting regional differences in the effect of PM2.5 and of designing studies directed at characterizing effects of particular components.
The effects of study site and year on PC1, PC2 and PC3 scores were tested with a multivariate analysis of variance (MANOVA) using the Wilks' lambda test in the R 2.6.0 software.
Biomarkers are an appealing idea to assess biologic effects of study treatment and hopefully predict clinical outcome.
There were no significant main or interaction effects of study group and risk information.
We undertook similar sensitivity analyses to explore the possible effects of study design and risk of bias.
Univariate linear mixed model analysis using function lme was applied to evaluate the effects of study group and treatment on continuous study parameters.
Both models assessed the effects of study group and adjusted for baseline covariates: age, race, education, employment, poverty status, union status, parity, and history of anxiety/depression.
We then compared the effects of study site location, and habitat quality (restored versus non-restored) on macrofaunal density using thirteen response variables.
Chart C: The effects of study designs (retrospective and prospective studies) on the pooled estimate of PM2.5.
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