randomization

简明释义

英[ˌrændəmaɪˈzeɪʃən]美[ˌrændəmaɪˈzeɪʃn]

n. [数] 随机化，不规则分布；随机选择

英英释义

单词用法

同义词

反义词

例句

1.The current study reports results from a randomization of 106,000 people to screening or control groups.

目前的报告结果来自106,000人随机进行筛检或对照的研究。

2.Results: The central randomization system could be used to screen subjects, randomize subjects, dispense drugs and administrate the drug supply chain.

结果：多中心临床试验中央随机系统实现了受试者筛选、随机化、药物发放和药物供应链管理等功能。

3.Methods parallel group, stratified randomization, double blinded, muti-center clinical trail was designed.

方法采取平行组设计、分层随机、双盲、多中心临床试验方法。

4.Third, selection bias might be a concern as an earthquake may not be a perfect instrument for randomization.

第三，应该注意到选择的偏差，因为地震可能不是一个随机选择的完美工具。

5.Locally sourced woods create the perch edges of floor, ceiling and wall, each stagger as the randomization of elements found in nature.

就地取材的木材构成其地板边缘，天花板及墙壁，它们都是在大自然中发掘的元素的随机组合。

6.Randomize: Opens a dialog for setting up randomization parameters for this account.

随机：打开一个对话设置参数为你的帐户。

7.Opens a dialog for setting up randomization parameters for this account.

随机：打开一个对话设置参数为你的帐户。

8.In clinical trials, randomization is essential to eliminate bias.

在临床试验中，随机化是消除偏见的关键。

9.The study used randomization to assign participants to different treatment groups.

该研究使用了随机化来将参与者分配到不同的治疗组。

10.Proper randomization can lead to more reliable results.

适当的随机化可以导致更可靠的结果。

11.The researchers emphasized the importance of randomization in their methodology.

研究人员强调了他们方法论中随机化的重要性。

12.Without randomization, the findings could be significantly skewed.

如果没有随机化，研究结果可能会显著偏斜。

作文

In the realm of scientific research, the concept of randomization plays a pivotal role in ensuring the validity and reliability of study results. Randomization refers to the process of assigning participants to different groups in a study using random methods, which helps eliminate bias and ensures that each participant has an equal chance of being assigned to any group. This technique is particularly important in clinical trials, where researchers aim to determine the effectiveness of a new treatment or intervention. One of the primary benefits of randomization is that it minimizes the risk of selection bias. When participants are not randomly assigned, certain characteristics may inadvertently influence the outcomes of the study. For instance, if a researcher allows participants to choose their group, individuals with specific traits, such as a higher motivation level, might gravitate towards one group, skewing the results. By employing randomization, researchers can ensure that these characteristics are evenly distributed across all groups, thus enhancing the credibility of the findings. Moreover, randomization aids in controlling confounding variables—factors other than the independent variable that may affect the dependent variable. In a trial investigating a new drug, for example, factors such as age, gender, and pre-existing health conditions could potentially influence how well the drug works. Through randomization, these variables are accounted for, allowing researchers to isolate the effects of the treatment itself more effectively. Another significant aspect of randomization is that it allows for the use of statistical methods to analyze the data. When groups are formed randomly, researchers can apply various statistical tests to determine whether the observed differences between groups are significant or merely due to chance. This is crucial in establishing causality and making informed decisions based on the results of the study. In addition to its application in clinical trials, randomization is also widely used in other fields such as psychology, education, and social sciences. For instance, in educational research, students might be randomly assigned to different teaching methods to evaluate their effectiveness. Similarly, in psychology experiments, participants may be randomly placed in control and experimental groups to assess the impact of specific interventions. Despite its advantages, randomization is not without challenges. One major concern is the feasibility of implementing randomization in certain situations. For example, in some studies, ethical considerations may prevent researchers from randomly assigning participants to groups, especially when it involves withholding potentially beneficial treatments from some individuals. In such cases, researchers must find alternative methods to mitigate bias while still adhering to ethical standards. In conclusion, randomization is a fundamental principle in research methodology that enhances the integrity of scientific studies. By reducing bias and controlling for confounding variables, randomization enables researchers to draw more accurate conclusions about the effectiveness of interventions. While there are challenges associated with its implementation, the benefits of randomization far outweigh the drawbacks. As science continues to evolve, embracing randomization will remain essential for producing reliable and valid research outcomes.

在科学研究领域，随机化的概念在确保研究结果的有效性和可靠性方面发挥着关键作用。随机化是指使用随机方法将参与者分配到研究中的不同组别，这有助于消除偏见，并确保每个参与者都有平等的机会被分配到任何组别。这种技术在临床试验中尤为重要，研究人员旨在确定新治疗或干预措施的有效性。 随机化的主要好处之一是它最小化了选择偏见的风险。当参与者没有被随机分配时，某些特征可能会无意中影响研究结果。例如，如果研究人员允许参与者选择他们的组别，具有特定特征（例如更高的动机水平）的个体可能会倾向于一个组，从而扭曲结果。通过采用随机化，研究人员可以确保这些特征在所有组中均匀分布，从而增强研究结果的可信度。 此外，随机化有助于控制混杂变量——即可能影响因变量的独立变量以外的因素。例如，在一项调查新药的试验中，年龄、性别和既往健康状况等因素可能会影响药物的效果。通过随机化，这些变量得到了控制，使得研究人员能够更有效地孤立出治疗本身的效果。 随机化的另一个重要方面是，它允许使用统计方法来分析数据。当组别是随机形成时，研究人员可以应用各种统计检验来确定观察到的组间差异是否显著，或者仅仅是由于偶然。这对建立因果关系和根据研究结果做出明智决策至关重要。 除了在临床试验中的应用，随机化还广泛用于心理学、教育和社会科学等其他领域。例如，在教育研究中，学生可能会被随机分配到不同的教学方法中，以评估其有效性。同样，在心理学实验中，参与者可能会被随机放置在对照组和实验组中，以评估特定干预的影响。 尽管有其优点，但随机化并非没有挑战。一个主要的担忧是在某些情况下实施随机化的可行性。例如，在一些研究中，伦理考虑可能阻止研究人员随机分配参与者到组别中，特别是当这涉及到从一些个体那里扣留潜在有益的治疗时。在这种情况下，研究人员必须找到替代方法来减轻偏见，同时仍遵循伦理标准。 总之，随机化是研究方法论中的一个基本原则，增强了科学研究的完整性。通过减少偏见和控制混杂变量，随机化使研究人员能够对干预措施的有效性得出更准确的结论。尽管实施过程中存在挑战，但随机化的好处远远超过缺点。随着科学的不断发展，拥抱随机化将继续是产生可靠和有效研究结果的关键。