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mmzeng木蟲 (正式寫手)
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[求助]
求助關(guān)于randomized complete block design 已有1人參與
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最近投了一篇meat science,編輯說數(shù)據(jù)分析有問題,找了一些相關(guān)文章看看,大都用randomized complete block design,但不太明白,有熟悉的童靴么,幫看看。 編輯的意見如下:There are a number of issues with this paper, but the most important is what appears to be the lack of consideration of the replicates in the analysis. It is implied line 163 that 3 independent batches of patties were prepared which is good. However replicate needs to be included as a random term in the model and the way the text reads it appears it data may have been averaged over the replicates within treatments which is incorrect. It is suggested the analysis be rethought. 為什么求重復(fù)的平均值不對(duì)呢,不都是均值±SD么。編輯還有一個(gè)意見是用SE代替SD. |
木蟲 (正式寫手)
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投稿的時(shí)候是這么寫的:For standard calibration, three independent experiments were performed. The averages for the beef patties were calculated in duplicate for each HA. The comparison of the mean values was conducted by univariate t-test. 后面還有兩個(gè)問題:It is not obvious how many samples per treatment were used, but is assumed from Table 2 that it was 2? This needs to be clearly stated earlier in the paper;Means should be given with s.e's not s.d's. |
版主 (知名作家)
日光之下,并無新事
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你能把你文章中Statistical analysis 部分發(fā)一下嗎?是不是你在這一部分的表述有問題? 一般都是三個(gè)重復(fù),然后取平均值,然后計(jì)算SD。 randomized complete block design這個(gè)一般都是不同批次實(shí)驗(yàn)的設(shè)計(jì)是采用完全隨機(jī)進(jìn)行處理。而這個(gè)就是通過SD反映出來。 |

版主 (知名作家)
日光之下,并無新事
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你要明白SD和SE的差別。 標(biāo)準(zhǔn)差(SD)強(qiáng)調(diào)raw data的Variation,而標(biāo)準(zhǔn)誤(SE)強(qiáng)調(diào)平均數(shù)的可信程度。 既然你用的是平均值,那就應(yīng)該使用SE,而不是SD。 真正的實(shí)驗(yàn)數(shù)據(jù)處理是,你做了三個(gè)或者兩次重復(fù)實(shí)驗(yàn),然后分別計(jì)算出來這些數(shù)據(jù),然后再把這些數(shù)據(jù)做統(tǒng)計(jì)分析,就是所謂的SD。 如果你把所有相同處理的樣品放在一起,然后在測(cè)量兩次或者以上,在去計(jì)算平均數(shù),那么統(tǒng)計(jì)分析就是SE。 看你的表述應(yīng)該是第二種意思。 |

木蟲 (正式寫手)
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