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Bootstrap resampling of the data set revealed that estimates of variability and power were associated with considerable uncertainty.
Failure to control for this within-individual correlation in analyses could result in biased estimates of variability and incorrect inferences about the estimated effects in regression models.
The primary objective of the current study is to collect preliminary estimates of variability and effect size for the associations of these two physiological measures with patient-centered outcomes in chronic LBP patients.
We will obtain preliminary estimates of variability and effect size to determine if differences in spinal manipulation delivery, as estimated by thrust contact force and spinal segment load, are related to patient-centered outcomes.
The sample size should be sufficient to obtain preliminary estimates of variability and effect size through our planned data analysis, taking into consideration the possibility of dropouts and technical issues that may occur given the rigor and complexity of this study protocol.
Given the above, the primary objective (i.e. Specific Aim 1) of the current study is to collect preliminary estimates of variability and effect size for the associations of these two physiological measures with patient-centered outcomes in patients with chronic LBP.
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The PVCA approach (http://www.niehs.nih.gov/research/resources/software/pvca/index.cfm) was used to estimate sources of variability and compare batch effects before and after adjustment in the VAS and SMRI microarray data sets.
The reported aspects connected to "statistical design" are: statistical method and results including significance levels and estimates of variability, (sufficient) sample size and replicates, randomized treatments and independent observations.
Study characteristics (year of publication, patient numbers, ages, duration of treatment, diary details), and baseline, endpoint, and change from baseline of the above endpoints, associated estimates of variability (if reported) and statistical power were extracted by one author and entered into Microsoft Excel.
The linear mixed model will provide two estimates of variability: cluster-level variability and residual variability.
Sample-size calculations were based on IDS-C30 total score and used estimates of variability obtained from previous phase 2 and 3 results for armodafinil and modafinil investigations in bipolar I depression (Calabrese et al., 2010; Calabrese et al., 2014; Frye et al., 2007).
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