# 有關統計學原文文章需翻中文~急!謝謝

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Data are expressed as mean ± SD and with the range.

數據是以 mean ± Standard Deviation 來陳述結果及設限範圍．

The significance of differences in the means of the two groups was assessed by Student's t-test.

學生 t 檢定評估了兩個實驗組群最大的區別．

Student’s t-test = 學生 t 檢定 = 學生 t 測試

(聽起來怪怪的，但真的是這樣翻的．沒錯！)

Differences in proportions were tested with the use of the X² statistic.

以 X² 統計法來測試比例的差別．

Plasma D-dimer and serum CRP levels followed a skewed distribution to the left and were therefore log-transformed before being analyzed (logDD and logCRP, respectively).

血漿 D-二聚體和C-反應蛋白的級數歪斜散佈至左側，而導致分析前的對數轉換（即 logDD 及 logCRP）．

Plasma D-dimer = 血漿 D-二聚體

CRP = C reactive protein = C-反應蛋白

log-transformed mean = 對數轉換平均值

Correlations between continuous (coagulation parameters) and dichotomous parameters (CVD morbidity) were tested by Pearson correlation analysis.

皮爾森相關係數分析已經測試了連續的（凝結參數）及二元參數（心血管病症發病率）之關係．

CVD = Cardiovascular Disease = 心血管病症

Diagnostic accuracy of the parameters was evaluated with the determination of diagnostic sensitivity and specificity, the likelihood ratio (LR), and the receiver operating characteristics (ROC) curve of each.

參數的鑑定是以診斷之具體性及敏感性，概似比率(LR)，及每位接受者操作特徵(ROC)的曲線來做為界線．

Likelihood ratio = 概似比率

We used high-sensitivity CRP, an established marker of cardiovascular morbidity and adverse outcome, as the criterion standard to compare the molecules studied.

我們使用高敏感度C-反應蛋白作為分子研究比較之準則，來顯示心血病症的發生率及不良的狀況．

The calculations were performed using SPSS v. 9.0.0 statistical software (Chicago, IL, USA). A two-tailed P-value <0.05 was considered statistically significant.

計算方式是使用 SPSS 9.0.0 版本軟體 (出版於美國伊利諾州芝加哥市) ．當雙邊檢定的P值小於 0.05 時，對統計數據並沒有影響．

two-tailed test = 雙邊檢定

P-value = P 值

Source(s): 別人