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fdc銅蟲 (小有名氣)
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[求助]
論文投稿，主編關(guān)于統(tǒng)計的意見我不明白，請幫我看一看。
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主編的第一次意見 Table 2 - there is no description of correlation having been undertaken. Further to this the use of simple correlation analysis is fraught with danger and the authors should consult Hassleer & Thadewald (2003) - The Statistician 52(3) 367-379 for detail on multivariate linear modelling. 我們的修改如下： Statistical analyses -------------------------------。Pearson's correlation coefficients were computed to quantify linear associations between physicochemical and structural parameters of MP. Table 2. Pearson correlation coefficient between sodium nitrite and physicochemical and structural parameters of MP. CA FA SH S-S HY TU SO 3-NT TABRS FA -0.636** SH 0.815** -0.623** S-S -0.771** 0.584** -0.967** HY 0.768** -0.508* 0.699** -0.759** TU 0.637** -0.184 0.539* -0.538* 0.492* SO 0.525* -0.259 0.486* -0.557* 0.719** 0.495* 3-NT -0.425 0.334 -0.557* 0.468* -0.152 -0.397 -0.138 TABRS 0.620** -0.532* 0.674** -0.581** 0.373 0.756** 0.293 -0.753** SN -0.636** 0.628** -0.790** 0.733** -0.489* -0.492* -0.214 0.812** -0.829** Note: *means significant difference (P < 0.05), **means significant difference (P < 0.01). Abbreviations in the table: CA, carbonyl; FA, free amine; SH, sulfydryl; S-S, disulfide; HY, hydrophobicity; TU, turbidity; SO, solubility; 3-NT, 3-nitrotyrosine; SN, sodium nitrite. 我們實在不明白主編關(guān)于相關(guān)分析的意思，他是想我們使用多元線性模型分析Table2的參數(shù)之間的相關(guān)性嗎？于是就給了主編寫信咨詢，主編的第二次回信是這樣的： 第二次去信 Dear -------, Thank you for your help to improve our manuscript. In your last letter, you mentioned ‘correlation analysis in table 2’. We are sorry for our unclear description. Pearson's correlation coefficients have been computed to quantify linear associations between physicochemical and structural parameters of MP. We send table 2 to you to see if we understand you. Again, thank you for taking the time and energy to help us improve the paper. We will do further modifications if you think we should make more modifications on table 2. 主編的第二次回信： Anyway the point I made was that in the use of correlation analysis you need to be very careful. This only tells the level of association, not causation and to overcome this as pointed out in the reference I sent you should undertake a GLM analysis that accounts for the variance from the treatment structure which will indicate the correlation between traits once the structure is accounted for. Please also note that if you applied replicates then this needs to be taken account of in the analysis. 請問主編到底是什么意思，多元線性模型分析參數(shù)之間的相關(guān)性不知道該如何進(jìn)行？此外主編第二次回信中的‘treatment structure’是什么意思？謝謝！ |
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