covariate

简明释义

英[/kəʊˈvær.i.ət/]美[/koʊˈvær.i.ət/]

n. 协变量，共向变量

英英释义

单词用法

同义词

反义词

例句

1.For the latter, a microRNA compound covariate predictor (called a microRNA summary value) was computed on the basis of weighted levels of the microRNAs forming the outcome signature.

针对后者，基于微小rna形成结果印记的加权水平计算了复合协同变异预测值(也叫微小rna简化值)。

2.Objective To study the effect of covariate imbalance on analysis of covariance.

目的探讨协变量的不均衡对协方差分析的影响。

3.We also use a named parameter to pass covariate data into the accumulator set along with the samples.

我们还使用了一个命名参数来将关联数据和样本一起传递给累加器集。

4.The job may require an individual who understands the meaning of interim analyses, multiplicity, cross-over, non inferiority, covariate and subpopulations.

这项工作可能需要一个人谁明白，多重，交叉，协变量和亚群分析的意义。

5.This finding has also been reported previously, 22 but because women generally have smaller implants, size rather than gender may be a stronger covariate.

这些发现在先前已有报道，但是因为女性普遍植入型号较小，这可能比性别更主要的变量。

6.The covariate analysis model with some nested factors is widely used in practical problem.

带有层套关系因子变量的协方差分析模型在实际应用中有广泛的适应性。

7.A major limitation in our study was the variability inherent in using revision specimens for the analysis of covariate factors involved in the failure process and in the wear of the bearings.

我们研究的一个主要限制是我们都用翻修的病例来进行相关变量的分析，这些变量包括了手术的失败操作过程及磨损。

8.A major limitation in our study was the variability inherent in using revision specimens for the analysis of covariate factors involved in the failure process and in the wear of the bearings.

我们研究的一个主要限制是我们都用翻修的病例来进行相关变量的分析，这些变量包括了手术的失败操作过程及磨损。

9.The main effects of each SNP, as well as SNP-covariate and SNP-SNP interactions, were assessed to investigate how they contribute to the inter-individual variation in ABI.

主要的影响，每个单核苷酸多态性，以及单核苷酸多态性-因子共变数和SNP - SNP的互动，被评定为调查他们如何有助于跨个别变化在ABI的。

10.In our study on exercise and weight loss, we included age as a covariate 协变量 to control for its effect.

在我们关于锻炼与减肥的研究中，我们将年龄作为一个covariate 协变量纳入，以控制其影响。

11.When analyzing the data, it's important to identify potential covariates 协变量 that could influence the outcome.

在分析数据时，识别可能影响结果的潜在covariates 协变量是很重要的。

12.In regression analysis, a covariate 协变量 can help improve the model's accuracy by accounting for variability.

在回归分析中，covariate 协变量可以通过考虑变异性来提高模型的准确性。

13.The researchers adjusted for several covariates 协变量, including socioeconomic status and education level.

研究人员调整了多个covariates 协变量，包括社会经济地位和教育水平。

14.We found that smoking was a significant covariate 协变量 in our health outcomes study.

我们发现吸烟在我们的健康结果研究中是一个重要的covariate 协变量。

作文

In the realm of statistics and research, understanding the concept of a covariate is essential for conducting robust analyses. A covariate is a variable that is possibly predictive of the outcome under study. It is not the primary focus of the research but is included in the analysis to improve the accuracy of the results. For instance, when studying the effect of a new medication on blood pressure, factors such as age, weight, and gender may serve as covariates. These variables can influence blood pressure independently of the medication, and failing to account for them could lead to misleading conclusions.The inclusion of covariates allows researchers to control for these extraneous variables, thus isolating the effect of the primary independent variable on the dependent variable. This is particularly important in observational studies where randomization is not possible. By adjusting for covariates, researchers can reduce confounding bias, which occurs when an outside variable influences both the independent and dependent variables, potentially skewing the results.Moreover, the selection of appropriate covariates is crucial. Researchers must carefully consider which variables to include based on theoretical justification and prior research findings. Including too many covariates can lead to overfitting, where the model becomes too complex and captures noise rather than the underlying relationship. Conversely, omitting important covariates can result in omitted variable bias, leading to incorrect inferences.Statistical techniques such as multiple regression analysis are commonly employed to analyze data with covariates. In this method, the effect of the primary independent variable is assessed while controlling for the covariates. The interpretation of results becomes more nuanced as researchers can determine how much of the variance in the dependent variable is explained by the independent variable after accounting for the covariates.In practical applications, the role of covariates extends beyond academic research. In clinical trials, for example, investigators often collect data on various covariates to ensure that the treatment effects are accurately estimated. Similarly, in social sciences, researchers incorporate covariates to understand complex human behaviors and societal trends better.In conclusion, the concept of a covariate is vital for enhancing the validity of research findings. By thoughtfully including and analyzing covariates, researchers can draw more reliable conclusions and contribute valuable insights to their fields. Understanding covariates not only strengthens the integrity of statistical analyses but also enriches our comprehension of the intricate relationships among variables in various domains of study.

在统计学和研究领域，理解协变量的概念对于进行稳健的分析至关重要。协变量是一个可能对研究结果具有预测力的变量。它不是研究的主要焦点，但被纳入分析中以提高结果的准确性。例如，在研究新药物对血压的影响时，年龄、体重和性别等因素可以作为协变量。这些变量可以独立于药物影响血压，如果不加以考虑，可能会导致误导性的结论。纳入协变量使研究人员能够控制这些外部变量，从而隔离主要自变量对因变量的影响。这在无法随机化的观察性研究中尤为重要。通过调整协变量，研究人员可以减少混杂偏差，即一个外部变量同时影响自变量和因变量，可能扭曲结果。此外，选择合适的协变量至关重要。研究人员必须根据理论依据和先前的研究结果仔细考虑要包括哪些变量。包含过多的协变量可能导致过拟合，即模型变得过于复杂，捕捉到噪声而不是潜在关系。相反，省略重要的协变量可能导致遗漏变量偏差，从而导致错误的推断。多元回归分析等统计技术通常用于分析带有协变量的数据。在这种方法中，评估主要自变量的影响，同时控制协变量。随着研究人员能够确定在考虑协变量后，自变量解释了因变量方差的多少，结果的解释变得更加细致。在实际应用中，协变量的角色不仅限于学术研究。在临床试验中，例如，研究者通常收集各种协变量的数据，以确保准确估计治疗效果。同样，在社会科学中，研究人员纳入协变量以更好地理解复杂的人类行为和社会趋势。总之，协变量的概念对于增强研究发现的有效性至关重要。通过深思熟虑地包括和分析协变量，研究人员能够得出更可靠的结论，并为其领域贡献有价值的见解。理解协变量不仅加强了统计分析的完整性，还丰富了我们对各个研究领域中变量间复杂关系的理解。