search for: survtest

Displaying 8 results from an estimated 8 matches for "survtest".

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2007 May 16
2
log rank test p value
How can I get the Log - Rank p value to be output? The chi square value can be output, so I was thinking if I can also have the degrees of freedom output I could generate the p value, but can't see how to find df either. > (survtest <- survdiff(Surv(time, cens) ~ group, data = surv,rho=0)) Call: survdiff(formula = Surv(time, cens) ~ group, data = surv, rho = 0) N Observed Expected (O-E)^2/E (O-E)^2/V group=1 20 16 11.0 2.23 4.64 group=2 20 12 17.0 1.45 4.64 Chisq= 4.6 on...
2006 Jan 17
2
help with parsing multiple coxph() results
Dear All: I have a question on using coxph for multiple genes: I have written code to loop through all 22283 genes in the Hgu-133A and apply coxph on survival data. However, I don't know how to work with the result for each gene: survtest<-coxph(Surv(pcc.primary.stg.3.cox[,'fup_interval'],pcc.primary.stg. 3.cox[,'endpoint'])~pcc.primary.stg.3.cox[,'geneid'],pcc.primary.stg.3.cox) each time I tried to look at what is in survtest it gives me this: =========================================================...
2010 Dec 14
1
survfit
...lambda.fraction') > testpred Call: coxph(formula = Surv(time, status) ~ x, method = object$method) coef exp(coef) se(coef) z p karno -0.00756 0.992 0.0364 -0.208 0.84 Likelihood ratio test=0.89 on 1 df, p=0.344 n= 7 > newd1 <- list(testall$x[1,]) > survtest <- survfit(testpred,newdata=newd1,individual=T) > survtest Call: survfit(formula = testpred, newdata = newd1, individual = T) records n.max n.start events median 0.95LCL 0.95UCL 7 0 0 0 0 0 0 > summary(survtest) Call: survfit(formula = t...
2006 Jan 17
0
help with coxph() for multiple genes
Dear All: I have a question on using coxph for multiple genes: I have written code to loop through all 22283 genes in the Hgu-133A and apply coxph on survival data. However, I don't know how to work with the result for each gene: survtest<-coxph(Surv(pcc.primary.stg.3.cox[,'fup_interval'],pcc.primary.stg. 3.cox[,'endpoint'])~pcc.primary.stg.3.cox[,'geneid'],pcc.primary.stg.3.cox) each time I tried to look at what is in survtest it gives me this: =====================================================...
2010 Dec 14
0
Urgent help requested using survfit(individual=T):
...lambda.fraction') > testpred Call: coxph(formula = Surv(time, status) ~ x, method = object$method) coef exp(coef) se(coef) z p karno -0.00756 0.992 0.0364 -0.208 0.84 Likelihood ratio test=0.89 on 1 df, p=0.344 n= 7 > newd1 <- list(testall$x[1,]) > survtest <- survfit(testpred,newdata=newd1,individual=T) > survtest Call: survfit(formula = testpred, newdata = newd1, individual = T) records n.max n.start events median 0.95LCL 0.95UCL 7 0 0 0 0 0 0 > summary(survtest) Call: survfit(formula = t...
2012 Oct 16
2
R Kaplan-Meier plotting quirks?
...essy, with gaps in capture history that require assumptions of tag survival. An animal that is tagged and recaptured 2 days later with a tag and 30 days later without one could have an assumed tag retention of 2 days (minimum confirmed) or 30 days (maximum possible). Both are significant with a survtest, but the K-M plots differ. A plot of minimum confirmed (overall harsher data, lots of 0 days and 1 or 2 days) yields a curve with a steep initial drop in ?survival?, but then a leveling off and straight line thereafter at about 80% survival. Plotting the maximum possible dates (same number of l...
2012 Oct 18
1
Kaplan-Meier plotting quirks
...with gaps in capture history that require assumptions of tag survival. An animal that is tagged and recaptured 2 days later with a tag and 30 days later without one could have an assumed tag retention of 2 days (minimum confirmed) or 30 days (maximum possible). > > Both are significant with a survtest, but the K-M plots differ. A plot of minimum confirmed (overall harsher data, lots of 0 days and 1 or 2 days) yields a curve with a steep initial drop in ?survival?, but then a leveling off and straight line thereafter at about 80% survival. Plotting the maximum possible dates (same number of losse...
2002 Apr 04
0
Basle/ Allerød: Survival Analysis in S-PLUS with Terry Therneau
...Aller?d, Denmark 16/17 May Basel, Switzerland Dr. Terry Therneau has worked in medical research statistics for over 15 years. He has written several papers on the use of residuals in the Cox model, and is the author of the survival routines found in S-PLUS, as well as the SAS routines COXREG and SURVTEST. Note: Due to his employer's policies and participation in "speaker's bureaus", and a recent decision to include the Insightful sponsored courses under that categorization, these are likely to be the last courses offered by Dr. Therneau through our sponsorship. Course Descriptio...