b*****g
发帖数: 53 | 1 特别特别感谢热心的victor和jenny！受益匪浅！
很抱歉以下notes,中英文混杂。
HOW TO SURVIVE IN YOUR INTERN YEAR (BY VICTOR)
1. Familiar with EMR
• Intern’s responsibility and daily work
1. inpt floor: when you enter, check your pts, follow up with lab results
(trend), VS, medication, overnight changes, progress notes(overnight and
morning symptom, PE, lab trend, meds list, assessment and plan, 会诊意见计划
)。During round, report it to senior and attending. Assessment &Plan will be
for yours. 45min for 1pt, intern can... 阅读全帖 |
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发帖数: 1 | 2 感谢组织者和几位前辈的无私分享！响应讲者的号召，我也来接力，把自己的笔记贴上
来。
麦地Webinar：Survive Intern Year (Internal Medicine) 4/6/2016
嘉宾：Jenny、Coffee、小麦哥
首先目标要明确，有2个：
1.掌握安身立命之本——独立执业的能力
2.建立职业发展人脉——有人为你说话、写推荐信（包括PD、faculty、目标
fellowship的faculty）
工作方面：
1.关于Pre-round：
每个病人至少预留20分钟，这是比较保守的时间；但即使最快的也要10min，别忘了还
有在不同病房穿梭的时间；
一定要亲自问病人情况，因为护士可能情况不报给PGY-1只报给PGY-2，而恰好有些刚上
任的PGY-2喜欢show-off自己的领导能力。
2.关于Intern的职责和如何表现：
Intern的两大工作：1）采集信息；2）干活（跟各种人communicate + put in order）。
首先要明确别人对自己的expectation，要注意Resident和Attending很不同：
对于Resident：就是希... 阅读全帖 |
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a********h
发帖数: 819 | 3 我知道这个班上可能很少做这个的，
现在MBS Market没有了，
SAS and Survival Analysis还有没有什么钱途？ |
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b**********7
发帖数: 389 | 4 刚面过的一道题，我当时没有彻底回答出来，想跟大家讨论下。
题目是这样的。
假设
G(T)：riskfree zero coupon bond price
B(T)：risky zero coupon bond price
X(T)：survival probablity
我们知道 X(T） = B(T)/G(T)。 然后把X(T) vs maturity（T)的曲线画出来后，发现
这不是一条平滑的衰减曲线，而是在中间部分有一个突起的曲线（对应中长期maturity
）。
问这样的情况是不是存在arbitrage？如果是，在什么情况下是arbitrage？ |
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n*******e
发帖数: 107 | 5 最开始的想法：
*************************************************************************
窃以为：
这条曲线不可能上升的，因为是对应了cumulative survival probability
如果突起说明那一段的B(T)被over price了，应该在相应的T long G short B
*************************************************************************
想了想又觉得不对，刚才没考虑recovery的问题。
如果市场有充足的信息，证明那一段时间B的issuer即使default也有很高的recovery
rate，那么这个price就是合理的。比如capital structure的突变，equity piece变得
很大，debt piece变得很小。
所以结论应该是：你不知道能不能arbitrage，你的信息不完整，需要对B的issuer进行
单独分析。
maturity |
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E*******s
发帖数: 994 | 6 想去药厂的话,longitudinal 和 Survival analysis这两个方向哪个更合适一些?
谢谢 |
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e******o
发帖数: 644 | 7 industrial不叫survival analysis 叫reliability 或是6-sigma |
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s*r
发帖数: 2757 | 8 what is the relationship between survival and epidemiology |
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c*e
发帖数: 1 | 9 各位大侠好～～请问一个survival analysis的coding问题， 网上哪里能找到Gill's
confidence band, Hall & Wellner's confidence band 和 L.J.WEI's confidence
band 的 R code？ 急用，R又不太熟，没时间自己写了。。。 |
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e*******e
发帖数: 75 | 10 我再用survival analysis 作分析的时候，用了下面的程序却发现问题：
%macro eun5(var1,var2,var3,var4,var5,var1T,var2T,var3T,var4T,var5T);
PROC PHREG DATA=ONE;
MODEL SURV*CENSOR(1)= &VAR1 &VAR2 &VAR3 &VAR4 &VAR5 &VAR1T &VAR2T &VAR3T &
VAR4T &VAR5T;
&VAR1=VAR1*LOG(SURV);
&VAR2=VAR2*LOG(SURV);
&VAR3=VAR3*LOG(SURV);
&VAR4=VAR4*LOG(SURV);
&VAR5=VAR5*LOG(SURV);
PROPORTIONALITY_TEST: TEST &VAR1T, &VAR2T, &VAR3T, &VAR4T, &VAR5T;
%MEND;
%EUN5 (YR1,YR2,YR3,YR4,YR5,YR1T,YR2T,YR3T,YR4T,YR5T);
最后总是出现：
error: variable var5 is not found |
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l****g
发帖数: 304 | 11 1: How can I change the Y-axis name from default setting 'Survival
Districution Frunction' to something else I needed such as freedom from CAD
death?
2. How I can change the position of the legend? (From the top of the right
side to some other place).
Thank you so much! |
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c**********e
发帖数: 2007 | 12 To detect a hazard ratio (HR) of 1.5 (comparing the control
group to the treatment group) (50% improvement in the median
survival time from 6 months for control group to 9 months
for the treatment group with 80% power using a 2-sided
log-rank test at the 2.5% significance level), the primary
analysis was planed to be conducted after X deaths.
How was the sample size determined? Could anybody with
oncology experience give a hint?
Some SAS sample code is as following. The thing was that
some param |
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e*****n
发帖数: 15 | 13 assuming constant hazard, i.e., exponential distribution for
survival time, the accrual time doesn't matter |
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f*******j
发帖数: 185 | 14 请问大家谁能给我个survival dataset,几百到几千case都行,sample越大越好. 或者教
我如何找dataset,我google了好几天,很多要permission,实在是没办法了. :( |
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t******l
发帖数: 32 | 15 In R, load survival package. You will find dataset named "lung". It has 228
obs with 10 variables. Good luck. |
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a*********7
发帖数: 342 | 16 请高手推荐一本survival analysis的书，最好能讲的详细一点,谢谢了! |
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q********i
发帖数: 795 | 18 Modeling Survival Data: Extending the Cox Model |
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r*******e
发帖数: 510 | 19 don't be constrained by the word "survival", actually we can use it in many
fields like finance, insurance, parmeXXX(can't spell), manufacturing, policy
research,Education .....a lot. but it really depends on your interest,
because no matter what specialization you go, it always has a lot of
applications. |
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B******y
发帖数: 9065 | 20 pharmaceutics, the word you can't spell? I think that is the area most
intensively using survival analysis.
many
policy |
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g******h
发帖数: 266 | 21 我在读统计硕士，所以基本的统计知识有。但是我毕业前学校没有survival analysis
课。听说很有用，所以想买本教科书和相关SAS书自学一下。有没有懂这个课的牛人，
请介绍几本书或网站什么的，不胜感激。 |
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D******n
发帖数: 2836 | 22 这个survival analysis 除了clincial trial，在其他方面也有用处吗？
analysis |
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j*****e
发帖数: 182 | 23 Survival analysis is also needed in engineering. I remember a example given
by Klein's book. Say, you want to estimate the lifetime of light bulbs. You
start with 1000 light bulbs and stop when, say, the fifth bulb burns out.
In my impression, engineers like to use the parametric approach. |
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y********2
发帖数: 75 | 24 我也要学！！
上次面试就是被这个题目问蒙了，因为从来都没有学过，人家问我survival model and
logistic model得区别，我就被问傻了 |
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l*******s
发帖数: 437 | 25 Statistical Models and Methods for Lifetime Data (Lawless)
Applied Survival Analysis Regression Modeling of Time to Event Data
Applied life data analysis
我是都看看，包括大家提到的另外两本，感觉都有优缺点 |
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g******n
发帖数: 339 | 26 The stderrs for the survival and failure the same, right?
S(t)=1-F(t) -> var(S(t))=var(F(t)) |
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h******3
发帖数: 190 | 27 There is a chemotherapy categorical variable. And the group of patients are
divided into those with chemotherapy and those without. But doctors select
more severe patients for chemotherapy.
So how should we consider this chemotherapy variable in a proportional
hazard model for recurrence? It seems to differ from a clear-cut variable such as tumor
grade.
I have not taken survival analysis class yet. Totally struggling with the
project. Thanks so much! |
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i******h
发帖数: 18 | 28 Anybody has the ebook "Applying Survival Analysis to Business Time-to-Event
Problems
"? Could you please send a copy to me? or let me know where I can buy it
without taking the SAS course? Thanks! s*******[email protected] |
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j*****e
发帖数: 182 | 29 You can convert left censored data to right censored date by defining a new
variable, say time_new, such that time_new=l-time_old, where l is a very
large aritifical value. Time_new is then right censored.
As to interval censoring, SAS gives a self-consistent estimator of the
survival function (non-parametric). But that is it, no proportionall hazard
model. |
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h***m
发帖数: 85 | 30 Project background: Educational research,measurement in student's
achievement.
We are trying to use life table method to follow students' achievement along
the time to identify when they achieved a certain level. The problem is
this level is defined by the different tests, although the name of test are
the same, the content are different from a grade (eg. grade 3) to another
grade (grade 4). And the achievement levels are defined by different cut
scores for different grades. So the event is very... 阅读全帖 |
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k****i
发帖数: 347 | 32 Do you mean a student can be >=level 4 at grade 3, and then
grade 4, then >=level 4 at grade 5?
If that is what you mean, it is called recurrent event in survival analysis.
You can find a lot of references on google |
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d***2
发帖数: 341 | 33 First thing first, since the achievement is evaluated by state standard
materials, I think you can assume an achieved 9yrs old is as successful as
an achieved 10yrs old. Therefore, the events are all equal across all ages.
Otherwise, you will have to impute different events to different ranks and a
rank analysis, such as the Wei-Lachin multivariate rank analysis....but I
really don't think you want to go that route.
Now, the real question I see is, do you want to consider all events as
independe... 阅读全帖 |
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t*******2
发帖数: 384 | 34 哪位有Bayesian Survival Analysis by Joseph G. Ibrahim的电子书，发我一份，万
分感谢~~~ |
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y*****w
发帖数: 1350 | 36 I was running the JM package in R for a joint model for longitudinal and
survival data. I could successfully run the lme() function (for the mixed
model) and the coxph() function (for the Cox model) separately, but when I
ran the JointModel() function, the program returned the following error
message:
Error in fitter(X, Y, strats, offset, init, control, weights = weights, :
Can't fit a Cox model with 0 failures
I double checked my data and there was no any irregular point. What's the
meaning ... 阅读全帖 |
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s***1
发帖数: 343 | 37 Applied Longitudinal Analysis. GM Fitzmaurice, NM Laird, and JH Ware, Wiley
-Interscience, 2004.
Modelling Survival Data in Medical Research, 2nd Edition. D Collett,
Chapman & Hall/CRC, 2003.
先谢过！ |
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t******i
发帖数: 56 | 38 遇到一个问题，关于survival的。
就是parametric（比如specify了exponential distribution）和cox regression（不
specify任何distribution），SAS results里面都会给出parameter estimate beta。
对这两种情况来说，hazard ratio都是exp(beta)么？都可以用hazard ratio的
interpretation么？
看版上哪位同学能不能指点下。包子答谢。 |
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A*******s
发帖数: 3942 | 39 both will be more and more important in banking industry.
Most banks have not established a framework to develop and validate time-
series or survival types of models, but they will sooner or later appreciate
the values of the two techniques due to the new CCAR regulation. |
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j******4
发帖数: 6090 | 40 Survival analysis: techniques for censored and truncated data
by Klein, John P and Moeschberger, Melvin L
2003, 2nd ed., Statistics for biology and health., ISBN 9780387216454
请发到邮箱 j*******[email protected]
包子感谢~ |
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k*******a
发帖数: 772 | 41 如果SAS没有直接给估算的花，那就要自己估算survival function和95% CI
我用R做过Weibull的 |
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P****D
发帖数: 11146 | 42 Knowing how to make survival curves is basic too. |
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a****g
发帖数: 8131 | 43 this is not a survival analysis
but a paired proportional comparison |
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w*******9
发帖数: 1433 | 44 paired data variability 小所以需要的size小，这是为什么要pair. 比如x=rnorm(
100), y=x+0.01, 如果是paired, pvalue=0. 如果是unpaired, pvalue会很大。
你说的paired survival sample size 很有意思，你看见的sample size
modification 能给个链接吗
？我想学习学习。
),
design |
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w*******9
发帖数: 1433 | 45 放狗搜了下，发现这个paired survival data基本上都是假定parametric copula，比
如bivariate exponential之类的。网上是有些方法算sample size的。 |
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y*****w
发帖数: 1350 | 46 By "matched sample", you are right, paired data analysis should be applied.
However, this is still not a strictly matched sample by any means. LZ would
have to prove that the samples were matched through some mechanism (age and
gender matching, as a simple example), not arbitrarily.
LZ can check out the following article by Peter Austin. It's about
propensity score matching, with some contents on survival analysis (K-M
estimates and Cox models) in the context of matched pairs. Check out Page
113... 阅读全帖 |
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A*****a
发帖数: 1091 | 47 最近在学算survival的power，觉得用R的powerSurvEpi package应该很简单
但是怎么都算不到和答案一样，求大牛帮忙看一下：
两个binary的covariates
sample size n=2800
postulated HR: main effect=1.3, interaction=1.85
event rate 20%
p(x1=1)=0.5, p(x2=1)=0.5,no correlation between x1 and x2
alpha=0.05
谢谢！ |
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Y******Y
发帖数: 8753 | 48 "predict" function for coxph不是用来predict survival function的 |
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Y******Y
发帖数: 8753 | 49 你的covariate不是time-dependent的吧？ 而且survival data的结构是one row per
subject的？如果是，那么survfit里面应该是individual=FALSE而不是TRUE
new
。 |
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y***c
发帖数: 676 | 50 如果只为求new subject的survival rate，可以用rms package里的survest function。 |
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