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While OCRe is a promising effort, its representation of study design is far from comprehensive, and it completely lacks a model for trial results.
Figure S2: Visual predictive check for the IGI model for trial 2. Solid lines represent median concentrations and dashed lines represent 5th and 95th percentiles.
Supplementary information accompanies this paper on the CPT: Pharmacometrics & Systems Pharmacology website http://www.wileyonlinelibrary.com/psp4) Supporting Information Supporting Information Figure S1: Visual predictive check for the IGI model for trial 1. Solid lines represent median concentrations and dashed lines represent 5th and 95th percentiles.
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Such an approach can enhance the ability of investigators to develop clinically detailed and realistic simulation models for trial design, protocol development, and cost-effectiveness analysis.
In addition, for singleton live births only, we compared birth weight between single versus double embryo transfer using a linear regression model adjusted for trial.
The relation between dissatisfaction and responses from the SF-36 quality of life questionnaire was examined at the patient level by using a regression model allowing for trial.
The pharmacometric models applied for trial simulation and likelihood ratio testing (LRT) are presented in Figures 1 and 2 and detailedly explained in the Methods section.
The PEX study protocol published by Van Linschoten et al. [ 9] served as the model for this trial because it is a high-quality protocol for a trial examining an intervention for patients with a PFPS.
When the Trial × Cultivar interaction effect was significant (P < 0.05), we fitted a model for each trial separately, where Cultivar was considered as fixed effect and Block, nested into Replicate, and Replicate as random effects.
Binary outcomes will be analysed using log-binomial regression models adjusting for trial differences by including the trial variable in the model specification.
Home oxygen therapy Binary outcomes will be analyzed using log-binomial regression models adjusting for trial differences by including the trial variable in the model specification.
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