nodal(SMPracticals)
nodal()所属R语言包：SMPracticals
Nodal Involvement in Prostate Cancer
淋巴结转移的前列腺癌
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The "nodal" data frame has 53 rows and 7 columns.
节点数据框具有53行和第7列。
The treatment strategy for a patient diagnosed with cancer of the prostate depend highly on whether the cancer has spread to the surrounding lymph nodes. It is common to operate on the patient to get samples from the nodes which can then be analysed under a microscope but clearly it would be preferable if an accurate assessment of nodal involvement could be made without surgery.
诊断患有前列腺癌的病人的治疗策略，在很大程度上取决于是否癌症已经扩散到周围淋巴结。这是常见的病人从节点，然后可以在显微镜下分析样品，但显然这将是最好的，如果可以在不手术淋巴结受累的准确评估。
For a sample of 53 prostate cancer patients, a number of possible predictor variables were measured before surgery. The patients then had surgery to determine nodal involvement. It was required to see if nodal involvement could be accurately predicted from the predictor variables and which ones were most important.
如果在53前列腺癌患者的样品，可能的预测变量的数目测量手术前。病人做了手术，以确定淋巴结受累。它可以准确地预测淋巴结受累的预测变量，哪些是最重要的。
用法----------Usage----------
data(nodal)
格式----------Format----------
A data frame with 53 observations on the following 7 variables.
53以下7个变量的观察数据框。
m A column of ones.
一列的。
r An indicator of nodal involvement.
r是指标淋巴结受累。
aged The patients age dichotomized into less than 60 ("0") and
岁的患者年龄小于60（0）和二成
stage A measurement of the size and position of the tumour observed by palpatation with the fingers via the rectum. A
A阶段palpatation观察用手指通过直肠肿瘤的大小和位置的测量。一
grade Another indicator of the seriousness of the cancer, this one is determined by a pathology reading of a biopsy taken by needle before surgery. A value of "1" indicates a more
甲级癌症的严重程度的另一个指标，这个人是用针在手术前的活检的病理阅读。值1表示
xray A third measure of the seriousness of the cancer taken from an X-ray reading. A value of "1" indicates a more serious
XRAY的第三措施透视读数取自癌症的严重性。 1表示的值更严重
acid The level of acid phosphatase in the blood serum.
酸血清中的酸性磷酸酶的水平。
源----------Source----------
Brown, B.W. (1980) Prediction analysis for binary data. In Biostatistics Casebook. R.G. Miller, B. Efron, B.W. Brown and L.E. Moses (editors), 3-18. John Wiley.
布朗，B.W. （1980）的预测分析二进制数据。在生物统计学案例汇编。 R.G.米勒，B.埃弗龙，B.W.布朗和L.E.的摩西（编辑），3-18。威利。
参考文献----------References----------
Page 491.
实例----------Examples----------
data(nodal)
nodal.glm <- glm(r~aged+stage+grade+xray+acid,binomial,data=nodal)
summary(nodal.glm,correlation=FALSE)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 10:40:30
