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multiple logistic regression spss 在 [程式] SPSS logistic回歸模式問題- 看板Statistics - 批踢踢實業坊 的推薦與評價


作者Cleria (^^)
看板Statistics
標題[程式] SPSS logistic回歸模式問題
時間Tue Jun 2 20:18:52 2015


[軟體程式類別]:SPSS

[程式問題]: multivariate logistic regression

[軟體熟悉度]:
新手(不到1個月)

[問題敘述]:
我是SPSS的超級新手，在圖書館裏面翻了很久也查了很多網路上的資料，也爬過文，
但還是無法解決問題，
懇求熱心的大家幫忙解惑, 或者推薦我相關書籍自行研究，萬分感謝！！！

在做multivariate logistic regression的時候，
我感興趣的IV，有時候會得到與univariate regression完全相反的結果

例如 我想要看 胖的人(類別變項, IV) 是否比較容易有 肝功能異常(類別變項, DV)

單變項回歸的時候：
肥胖, 年齡, 性別, 血壓, 血糖值 這些IV的odds ratio都顯著大於1

多變項回歸的時候：
肥胖(類別) + 年齡 + 高血壓有無 (類別) 放入模型　 --> 肥胖的 OR 1.2
肥胖(類別) + 年齡 + 血壓 (連續) --> 肥胖的 OR 0.7
肥胖(類別) + 年齡 + 血壓 (連續) + 高血糖(類別) --> 肥胖的 OR 0.9

ps. 這些模型都有符合Omnibus <0.05, hosmer and lemeshow test >0.05
類別變項我都有使用Dummy variable
受檢者超過一萬人，可以排除樣本數過少的問題

疑問：
(1) 光是把 "血壓(連續變項)" 改成 "高血壓有無(類別變項)"，
就得到完全相反的結果(肥胖的OR <1 變成 OR >1)...不知道是怎麼一回事 ??
要怎麼判斷哪個模型才是真正適合的呢？
(查不到如何用SPSS判斷哪個模型比較好，不知道是不是SPSS沒有內建這個功能??)

(2) 如果在單變項分析時 OR >1，在多變項分析的時候OR卻<1，
以下的解讀是否正確：
雖然在單變項分析的時候，看出肥胖者的風險比較高
但在校正其他變項的影響之後，肥胖反而可以降低風險 (感覺怪怪的)

(3) 看了很多網路上的資料，猜測可能是IV之間共線性所導致的問題
肥胖和血壓(連續)的相關係數約0.3，
肥胖和高血壓有無(類別)的相關係數約2.6
只查的到用SAS來算Tolerance/VIF的方法，不知道SPSS有沒有辦法診斷共線性?

(4) 我就是特別想要看肥胖和血壓這兩個IV對DV的影響，不希望刪除其中一個
而且看到很多醫學論文都會把一堆高度相關的IV一起放進
multivariate logistic regression model中，
這樣不是會造成模式的共線性問題嗎?? (百思不得其解)

實在太多疑問，再次感謝大家

--
※ 發信站: 批踢踢實業坊(ptt.cc), 來自: 123.192.61.104
※ 文章網址: https://www.ptt.cc/bbs/Statistics/M.1433247535.A.1EE.html
※ 編輯: Cleria (123.192.61.104), 06/02/2015 21:26:54
推 evilove: 你在spss跑一般線性迴歸就可以診斷共線性。 06/02 21:55
感謝!! ~不好意思想再請教一下，有爬過您的文，您之前也有在推文提過可以用線性回歸
做簡單的估計
但是意思是指，直接把我的DV和IV丟進線性回歸模型裡面去估算，不用管他們是連續或類
別變項嗎？
因為我照這樣跑出來的結果VIF都只有1點多
不確定是真的沒有共線性問題，還是我誤解了這邊的做法

→ andrew43: 檢查共線性。另外，multivariate是別的意思，明顯用錯字 06/02 22:02
→ andrew43: 那些不好好做模型診斷的paper不表示它是對的。 06/02 22:04
→ andrew43: 題外話：肥胖只是二類別好像有點太簡單了。沒有連續資料 06/02 22:15
→ andrew43: 可以分析嗎（像BMI之類的）。 06/02 22:16

我的"肥胖"的確是使用BMI來判定，
BMI已經有大家公認的切點，所以想要分成肥胖與非肥胖兩組來比較

另外也是因為看到很多醫學期刊的做法是這樣的：
如果DV是類別變項，就把IV也都轉換成類別變項來跑logistic regression

只是很直覺的想法，倒是沒有想到這樣會把連續變項降階使用 orz
我會再試試看用連續變項來分析~謝謝您的熱心提醒!!
※ 編輯: Cleria (42.72.245.21), 06/03/2015 01:29:40






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