search for: htn

hello gurus, i have a data frame like this HTN HTN_FDR Dyslipidemia CAD t1d_ptype[1:25] 1 Y Y Y T1D 2 T1D 3 Ctrl_FDR 4 T1D 5 Y Ctrl 6...

..., Virginia ------------------ ######################################################## # Compute the Hosmer-Lemeshow 'goodness-of-fit' test cd.full_model = glm(formula = Collaterals ~ CHF + Age + CABG + relevel (as.factor (num.obst.vessels),"one") + Current.smoker + DM + HTN + ace.inhibitor + MI, family = binomial(link = "logit")) hosmerlem = function(y, yhat, g=10) { cutyhat = cut(yhat, breaks = quantile(yhat, probs=seq(0, 1, 1/g)), include.lowest=TRUE) obs = xtabs(cbind(1 - y, y) ~ cutyhat) expect = xtabs(cbind(1 - yhat, yhat) ~ cutyhat...

...AHRQ comformat2010 comoanaly2010 # # Input, dataframe with # id in column 1 # msdrg in column 2 # diagnosis in columns 4-53 # Output, numeriuc list with id and one element per cc # dimnames = c('ID', # 'CHF','VALVE','PULMCIRC','PERIVASC', # 'HTN_C','PARA','NEURO','CHRNLUNG','DM', # 'DMCX','HYPOTHY','RENLFAIL','LIVER','ULCER', # 'AIDS','LYMPH','METS','TUMOR','ARTH', # 'ANEMDEF','ALCOHOL','DRUG...

Hello everyone, I wanted to ask if there is an R-package to fit the following Poisson regression model log(\lambda_{ijk}) = \phi_{i} + \alpha_{j} + \beta_{k} i=1,\cdots,N (subjects) j=0,1 (two levels) k=0,1 (two levels) treating the \phi_{i} as nuinsance parameters. Thank you very much -- -Tony [[alternative HTML version deleted]]

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