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In the analysis plan, we will assess for differential attrition and potentially adjust final models for variables that may have statistically differed between treatment arms.
Odds ratios (ORs) and 95% confidence intervals (95% CIs) were estimated by using exact logistic regression models for variables associated with survival with P < 0.05.
We adjusted our models for variables that have previously been identified as potential confounders in studies of alcohol consumption and dementia risk.
We adjusted models for variables known to influence the use of prenatal care services, including age, parity, multiple versus singleton birth, co-morbid disease, immigration status, and socioeconomic status.
We adjusted all Cox models for variables that (based on the existing literature) could be potential confounders: first degree family history of cancer (yes or no), school education (≤7 years, 8-10 years, or >10 years), use of non-steroidal anti-inflammatory drugs (at least twice a month or not), and use of hormone replacement therapy in women (never, past use, or current use).
Similar(55)
Numerical models for variable-density flow and solute transport (VDFST) are widely used to simulate seawater intrusion and related problems.
In this study, the photo catalytic experiments were designed based on CCD model for variables such as contact time, initial concentration of acetamiprid, dose of nanoparticles and pH.
In this paper, a new and efficient model for variables representation, named F-coding, in optimal power dispatch problems for smart electrical distribution grids is proposed.
In addition, survival analyses employed the Cox proportional hazards model for variables assessed for prognosis.
*The baseline in the model for variables body weight and serum phosphate concentration was day −30.
Multivariate analysis was performed using the Cox proportional hazard model for variables that were significant on univariate analysis.
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