Re: [問題] 有關存活分析的問題

看板Statistics作者 (和平 奮鬥 寫paper)時間17年前 (2008/07/11 12:15), 編輯推噓0(000)
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※ 引述《hospice (平安快樂)》之銘言: : 您好: : 再次感謝您的回覆! : 不過在下資質駑鈍, : 有些地方還是不明白。 : Is the prognostic factor an event time? If not, why do you even : consider survival analysis. : 您這裡的意思是說預後因子是否為 event time嗎? : 對不起我是新手不太清楚您的意思, : 我看的paper都是將年齡分成兩組(>60 or <60), : 腫瘤大小分為兩組(<3cm or <3cm)等等, : 來看Disease-specific survial(DSS)或Recurrent-free survival(RFS), : 用的是Kapaln-Meiner Method : 因此我們才想如法炮製, : 將tumor recurrence與否分成兩組(yes or no), : 來看Disease-specific survial(DSS)或Recurrent-free survival(RFS) Okay. Then the endpoint is time to a specific event, subject to censoring. You should use methods for survival data. : Are you planing to treat tumor recurrence as a binary variable? : If yes, you better define a time frame. Otherwise, you may consider : treating it as a time-dependent covariate. : 沒錯,我們正是想把tumor recurrence當成binary variable, : 只是不知道這樣做合不合理?因為沒有paper有這樣做過, : 您說的time frame是怎麼一回事?有沒有相關的參考資料呢? Based on the description, it is better to treat "tumor recurrence" as a time-dependent covariate. Keep in mind that the status of tumor recurrence for those who loss to follow-up may be unknown. : Do you mean to estimate the K-M curve for those with and without cancer : recurrence separately? : 是的,如同上面所說的, : 我們是想這樣做!不知道行不行的通? Again, how would you define the value of the "tumor recurence" variable for those who loss to follow-up and do not have tumor recurrence before they drop out? : 如果用t test 來看兩組存活天數的話, : 可以得到無 recurrence的mean±SD,以及有recurrence的mean±SD,以及p值, : 不過這好像不是正確的作法,而且存活天數有極端值,有的只追蹤一兩週就loss follow up, : 有的可以追蹤到好幾年! The t test is not appropriate for survival data. ※ 編輯: bmka 來自: 71.255.237.189 (07/11 12:17)
文章代碼(AID): #18Tjv7cc (Statistics)
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文章代碼(AID): #18Tjv7cc (Statistics)