| 查看: 647 | 回复: 0 | ||
[求助]
论文投稿，主编关于统计的意见我不明白，请帮我看一看。
|
|
主编的第一次意见 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. 我们的修改如下： 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. 我们实在不明白主编关于相关分析的意思，他是想我们使用多元线性模型分析Table2的参数之间的相关性吗？于是就给了主编写信咨询，主编的第二次回信是这样的： 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. 主编的第二次回信： 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. 请问主编到底是什么意思，多元线性模型分析参数之间的相关性不知道该如何进行？此外主编第二次回信中的‘treatment structure’是什么意思？谢谢！ |
回复此楼» 猜你喜欢
窗边初夏的小雨
已经有3人回复
-
急招2026年9月份入学博士
已经有4人回复
-
26年申博自荐-计算机视觉
已经有4人回复
-
2026年申博-电池方向
已经有8人回复
-
导师各种操作恶心咋办
已经有8人回复
-
2026博士申请求助
已经有5人回复
-
研究生做的很差，你们会让毕业吗？
已经有11人回复
-
求碳排放博导；方向是LCA、生命周期可持续发展以及碳排放
已经有7人回复
-
2026博士或科研助理转27年博士
已经有7人回复
-
国自科送审了吗
已经有11人回复