Adverse trends could indicate potential technical, cost, and schedule baseline issues.
有害趋势暗示潜在的技术，成本、以及进度基线的问题。
We used propensity score analysis to adjust for potential differences in baseline characteristics of patients in the two treatment groups.
我们使用倾向评分分析，以调整两个治疗组中患者基线特征的潜在差异。
Although statistical modeling could control for these measured baseline differences, the potential for confounding by unmeasured variables existed.
虽然应用统计模型能控制这些基线评估上的差异，但仍然存在一些无法测定的变量导致潜在的混杂。
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