covariate的音標(biāo)為[?k?v??re?t] ，基本翻譯為“協(xié)變量”，速記技巧為“考為/ei/，娃/a?/”。

Covariate這個(gè)詞的英文詞源可以追溯到拉丁語(yǔ)，意為“共同變化的事物”。它的變化形式包括復(fù)數(shù)covariates和過(guò)去式covariated。

相關(guān)單詞：

covariation：共同變化，一致性

covariate analysis：協(xié)變量分析，相關(guān)分析

covariate adjustment：協(xié)變量調(diào)整，校正

例如，在醫(yī)學(xué)研究中，協(xié)變量分析是一種統(tǒng)計(jì)方法，用于評(píng)估兩個(gè)或多個(gè)變量之間的相關(guān)性，同時(shí)考慮其他可能影響結(jié)果的變量。協(xié)變量調(diào)整則是在統(tǒng)計(jì)模型中考慮到可能影響結(jié)果的其他因素，以提高模型的準(zhǔn)確性和可靠性。這些詞匯都與covariate密切相關(guān)，反映了科學(xué)研究中對(duì)變量之間關(guān)系的關(guān)注和探究。

常用短語(yǔ)：

1. covariate factor

2. covariate effect

3. covariate adjustment

4. covariate selection

5. covariate balance

6. covariate monitoring

7. covariate independent

雙語(yǔ)例句：

1. The covariate balance between the two groups was excellent. (兩組的協(xié)變量平衡度非常好。)

2. Covariate adjustment was made for age and gender. (對(duì)年齡和性別進(jìn)行了協(xié)變量調(diào)整。)

3. Covariate monitoring is crucial for ensuring the accuracy of data analysis. (協(xié)變量監(jiān)測(cè)對(duì)于確保數(shù)據(jù)分析的準(zhǔn)確性至關(guān)重要。)

4. The covariate effect of exercise on mental health should not be ignored. (運(yùn)動(dòng)對(duì)心理健康的協(xié)變量效應(yīng)不容忽視。)

5. Covariate adjustment should be done carefully to avoid introducing bias into the analysis. (進(jìn)行協(xié)變量調(diào)整時(shí)應(yīng)小心謹(jǐn)慎，以避免引入偏誤。)

6. Covariate balance is essential for ensuring reliable results in clinical trials. (在臨床試驗(yàn)中，協(xié)變量平衡對(duì)于確保可靠結(jié)果至關(guān)重要。)

7. The covariate effect of diet on disease risk should be considered when making health recommendations. (在制定健康建議時(shí)，應(yīng)考慮飲食對(duì)疾病風(fēng)險(xiǎn)的協(xié)變量影響。)

英文小作文：

When conducting research, it is crucial to consider covariates, which are factors that may affect the results of a study. For example, age, gender, and diet are common covariates in medical research. By carefully balancing these factors between groups and making appropriate adjustments during analysis, researchers can ensure that their findings are reliable and accurate. However, covariates can also be complex and challenging to manage, especially when dealing with large datasets. Therefore, it is essential to have a clear understanding of the research question and the potential impact of covariates on the results. By doing so, researchers can make informed decisions about how to approach their analysis and ensure that their findings are reliable and accurate.