search for: renal

...43 ME:MALME_3M -0.67327 -1.33493 Melanoma 49 ME:UACC_257 -0.72431 -1.84753 Melanoma 42 ME:M14 -0.73942 -0.73904 Melanoma 40 LE:SR -0.93541 2.95346 Leukemia 25 CO:SW_620 -1.53265 -1.35446 Colon 63 RE:CAKI_1 -2.48443 0.43245 Renal 39 LE:RPMI_8226 -2.59561 -1.9448 Leukemia 26 LC:A549 -2.66221 0.71215 Lung 61 RE:A498 -2.89402 0.93287 Renal 9 BR:HS578T -2.94118 1.1217 Breast 34 LC:NCI_H522 -2.94381 0.3859 Lung 66 RE:TK_10 -2.95281 1.26245...

...6.570 10.049 38 Melanoma 3 7.838 11.364 39 Ovarian 1 9.067 11.060 40 Ovarian 1 8.645 11.849 41 Ovarian 3 7.079 10.937 42 Ovarian 3 9.626 11.911 43 Ovarian 3 8.478 10.954 44 Ovarian 3 8.890 12.076 45 Prostate 3 8.356 12.486 46 Prostate 3 9.074 11.841 47 Renal 3 9.117 12.324 48 Renal 3 9.522 12.362 49 Renal 3 9.487 12.030 50 Renal 3 8.322 12.798 51 Renal 3 9.359 12.714 52 Renal 3 11.611 13.344 53 Renal 3 9.663 12.004 54 Renal 3 9.819 13.214 Please help me!!!! Thank you so much Gabriele Zoppoli, MD...

I have to study censured datas concernig the occurence of infection at the point of insertion of catheter in patients with renal disease. Catheter may be removed for ather reasons than infection, in this case, the observation is censored. Each has exactly 2 observations. The question are the pronostic factors of infection (the other variables are; age, sex, type of renal disease...). Could you indicate me what is the R func...

Dear friends. I have a paper (details below) examining the risk of renal failure after an operation. A logistic regression was done, and the coefficients to two regressors (age and creatinine) plus intercept with standard errors are given. These coefficients must be dependent in estimation, and when no details are given, I thought how I could most informatively get...

...f data from several published trials. What I want to do is do a forrest (forest) plot for subgroups within my single dataset as a test of heterogeniety. I have a dataset who received either full dose(FD) or reduced dose(RD) treatment, and a number of characteristics about those subjects: age, sex, renal function, weight, toxicity. And I have survival data (censored). they are in standard columnar data. Is there an *easy* way to transform them into something like this: SubGroup n.FD n.RD surv.FD surv.RD 1 Age >65 2 Age <= 65 3 Male ... 9...

...n in the kidneys since we know the partial removal of kidney tissue will result in progressive damage in the kidneys - the nature of that is what we want to understand. We have a blood sample from the rats just prior to sacrifice, and the creatinine concentration there is a good proxy for "renal function". So the course of concentrations of the metabolites are thought to be valuable in understanding the physiology. Some of these are thought to be correlated. We have two groups where sham animals have better renal function than partially nephrectomized, but there is variation in bo...

...osting with bagging() and adabost.M1(), respectively, but in both cases it produces an abnormal termination of R. My code is: bagging(I.NOSOCO~EDAD+SEXO+ESTANCIA+ADMISI?N+T.CIRUG?+DURACI?N+CONTAMIN +PROFILAX+E.PREOPE+V.PERIFE+V.CENTRA+S.VESICA+S.NASOGA+DREN.ABI+DREN.CER +VENTILAC+T.INMUNO+COMA+I.RENAL+DIABETES+NEOPLASI+EPOC+HEPATOPA+INMUNODE +HIPOPROT+OBESIDAD+INFECING+NDIAGNOS,data=Datos.RL) adaboost.M1(I.NOSOCO~EDAD+SEXO+ESTANCIA+ADMISI?N+T.CIRUG?+DURACI?N+CONTAMIN +PROFILAX+E.PREOPE+V.PERIFE+V.CENTRA+S.VESICA+S.NASOGA+DREN.ABI+DREN.CER+VENTILAC +T.INMUNO+COMA+I.RENAL+DIABETES+NEOPLASI+EPOC+H...

...Pregnancy-Associated Á CLAMP Eclampsia INCERVIXIncompetent Cervix PRE4000 Previsou Infant 4000+ grams PRETERM Previou Preterm RENAL Renal Disease é RH RH Sensitization !UTERINE Uterine Bleeding ù "OTHERMR Other Medical Risk Factors #AGED Age at Death in Days...

Dear R users I use Windows XP, R2.5.1 (I have read the posting guide, I have contacted the package maintainer first, it is not homework). In a research project on renal cell carcinoma we want to compute Harrell's c index, with optimism correction, for a multivariate Cox regression and also for some univariate Cox models. For some of these univariate models I have encountered an error message (and no result produced) from the function validate i Frank Harrel...

...gies that allow biological systems to be interrogated on a genome-wide scale. Technology platforms include microarrays, FTMS/proteomics, sequencing and genotyping. Biological domains include cancer, infectious disease, pharmacology, cell signaling, stem cell biology, population and human genetics, renal and liver diseases, and comparative biology. Statisticians working at the GIS are required to perform high-quality research on methodological issues arising from the analysis of data generated by the above (and other) platforms, as well as to participating in biological research using them. How t...

You report an error message: > plot(zph.revasFit[1]) Error in plot.window(xlim, ylim, log, asp, ...) : need finite 'ylim' values I have never seen this error before, and I cannot guess what causes it. You need to provide more information, and likely a small data set that produces the problem. Perhaps you have an x variable that is a constant? Terry Therneau

...Pawinski et al now, there are > other problems. > > 1. The paper nowhere uses bootstrapping. It uses repeated 2-fold > cross-validation, a procedure not usually recommended. > > 2. The resampling procedure used in the paper treated the 50 > pharmacokinetic profiles on 21 renal transplant patients as if these > were from 50 patients. The cluster bootstrap should have been used > instead. > > 3. Figure 2 showed the fitted regression line to the predicted vs. > observed AUCs. It should have shown the line of identify instead. In > other words, the...

...00:64204) htncx = c(4010, 4372) ############################################################################ # the following are special, temporary formats used in the creation of the # hypertension complicated comorbidity when overlapping with congestive # heart failure or renal failure occurs. These temporary formats are # referenced in the program called comoanaly2009.txt ############################################################################ htnpreg = c(64220:64224) htnwochf = c(40200, 40210, 40290, 40509, 40519, 40599) htnwchf = c(40201, 4021...

...es, and cannot figure out why just two predictors were chosen. It would be of interest to see graphs for one predictor, two predictors, and three predictors. I have not yet seen any diamond graphs with three explanatory variables... b. Figures 4-6 display (age-adjusted rate of end-stage renal disease due to any cause per 100,000 person-years) as the thing to be explained, with systolic blood pressure (measured in mm Hg) and diastolic pressure (measured in mm Hg) as the explanatory variables. Once again the explanatory variables are continuous, not cate...

Hi useRs - I was wondering if anyone out there can tell me where to find R-code to do mixes of tables and graphics. I am thinking of something similar to this: http://yost.com/information-design/powerpoint-corrupts/ or like the excel routines people are demonstrating: http://infosthetics.com/archives/2006/08/excel_in_cell_graphing.html My aim is to provide small graphics to illustrate