現場獸醫人員素質的考驗：如何說明與應用科學文獻--刺激喔..........

蘇少儀

http://www.csvs.org.tw/html/journal/Vol.%2036/36-3/z-rb233-08.PDF

本篇由多位知名專家與本人共同發表的文獻
可提供大家
1.        如何應用診斷技術（聚合酶鏈反應（；PCR & RT-PCR）及酵素結合免疫吸附試驗（ELISA））瞭解豬場中豬繁殖與呼吸綜合症（PRRS）與豬二型環狀病毒關聯症（PCV2）感染日齡（聚合酶鏈反應陽性反應表示豬隻血中存有病毒基因體）及免疫反應（抗體揚升與病毒血症間的變化）間的關係．
2.        什麼是聚合酶鏈反應（PCR & RT-PCR）及何謂酵素結合免疫吸附試驗（ELISA）．
3.        現場服務獸醫師都應該要懂得如何解釋給農民瞭解喔！！！

任何的試劑套組均需要經過驗證，不是隨便拿個試劑就可以拿來用，做的結果就可以拿來參考

[ 本帖最後由 蘇少儀 於 2011-5-27 20:03 編輯 ]

gtc

能否建構" 城堡 " 隨喜啦
畢竟有人喜歡 烤漆板


如何解釋 ?   農民瞭解 ?
有些" 老闆 " ( 農民 ) 只要 結果論 !
:093

蘇少儀

行而後知
或
知而後行？？？

用猜的，瞎子摸象．有的人說.................有的人說..................結果是..................
豬場中的變化其實都是有"跡"可循，是可以預測的
如何找到"跡"，如何用"跡"制定防疫策略..............................
那就是功力．那就是專業能力
賣弄了....................不好意思囉！！！！！！

[ 本帖最後由 蘇少儀 於 2011-5-27 20:51 編輯 ]

pighead

chi-square test不適用於這樣的數據，請查看統計學書本中有關卡方檢定的限制條件

蘇少儀

請教其詳！！！
.....................................................................................................

pighead

1. 查統計書本中有關卡方檢定的限制條件 ()
2. 網路上查找Pearson's chi-square test (i.e., Wikipedia)
http://en.wikipedia.org/wiki/Pearson's_chi-square_test
其中的assumptions那一段
The chi square test, when used with the standard approximation that a chi-square distribution is applicable, has the following assumptions:
a. Random sample – A random sampling of the data from a fixed distribution or population.
b. Sample size (whole table) – A sample with a sufficiently large size is assumed. If a chi square test is conducted on a sample with a smaller size, then the chi square test will yield an inaccurate inference. The researcher, by using chi square test on small samples, might end up committing a Type II error.
c. Expected Cell Count – Adequate expected cell counts. Some require 5 or more, and others require 10 or more. A common rule is 5 or more in all cells of a 2-by-2 table, and 5 or more in 80% of cells in larger tables, but no cells with zero expected count. When this assumption is not met, Yates' correction is applied.
d. Independence – The observations are always assumed to be independent of each other. This means chi-square cannot be used to test correlated data (like: matched pairs, panel data). In those cases you might want to turn to McNemar's test.

蘇少儀

a. Random sample – Matched
b. Sample size (whole table) – Matched
c. Expected Cell Count – Matched
d. Independence – This has to be checked again.

Your remindings are highly appreciated.

pighead

about point c
in your chi-square test (so called goodness of fit), all the cells fit the expected count?

蘇少儀

原帖由 pighead 於 30/5/2011 12:09 發表
about point c
in your chi-square test (so called goodness of fit), all the cells fit the expected count?

=============================================================================================
Yes, if the cells fit the criteria, we used Chi sqaure test otherwise we used Fisher's exact test.
Moreover, the subjects were tested for different diseases albeit the samples are derived from the same set of subjects. the data still could be treated as independnet variables.

Thanks again

[ 本帖最後由 蘇少儀 於 2011-6-6 06:46 編輯 ]