search for: raceoth

...t; and "other") in my logistic regression model, the correlation matrix of the coefficients gets messed up. I get something like: ----------------------------------------- Correlation of Coefficients: ( A L RACEb AGE , 1 LWT , 1 RACEblack 1 RACEother . . attr(,"legend") [1] 0 ` ' 0.3 `.' 0.6 `,' 0.8 `+' 0.9 `*' 0.95 `B' 1 ------------------------------------- I couldn't figure out how to interpret it. Here is the sequence of commands and the complete output. (I am using R 1.6.2) ----------------...

...ge estimates and standard deviation: Estimate Std.err Wald Pr(>|W|) (Intercept) 3.07e+16 7.20e+14 1821.29 0.00000 age 6.38e+13 2.22e+13 8.24 0.00409 RACEBlack 1.48e+16 6.28e+14 555.35 0.00000 RACEOther -1.84e+16 6.17e+14 887.78 0.00000 SEXFemale 1.84e+16 5.23e+14 1235.19 0.00000 FEVERYes -4.41e+15 4.74e+14 86.73 0.00000 FEVERUnknown 1.76e+16 1.60e+15 120.55 0.00000 compared to the estimates from the glm model:...

...i1, I would do the following: miset1$white <- recode(miset1$RACE, '1=1; else=0; ') miset1$black <- recode(miset1$RACE, '2=1; else=0; ') miset1$asian <- recode(miset1$RACE, '3=1; else=0; ') miset1$hispanic <- recode(miset1$RACE, '4=1; else=0; ') miset1$raceother <- recode(miset1$RACE, '5=1; else=0; ') I've tried a number of variations, e.g., on the following using recode (from the car package) with imputationList (from the mitools package), though without success: files.allmisets <- list.files(getwd(),pattern="miset*.csv$",f...

...17.635 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) 0.334265 0.056491 5.917 3.28e-09 *** genderF -0.180480 0.047575 -3.794 0.000149 *** age35-44 0.122422 0.051836 2.362 0.018191 * age>44 0.361610 0.051576 7.011 2.36e-12 *** raceOther -0.005883 0.061605 -0.095 0.923919 locMidAtl 0.437342 0.103821 4.212 2.53e-05 *** locS 0.178574 0.073033 2.445 0.014481 * locMidW 0.083189 0.066427 1.252 0.210449 locNW 0.134337 0.067498 1.990 0.046563 * locSW 0.295874 0.073488 4....

Hi, I'm new to R and using it for Cox survival analysis. Thanks to this great forum I learned how to compute the HR with its confidence interval. My question would be: Is there any way to get the p-value for a hazard ratio in addition to the confidence interval? Thanks, Thierry -- Thierry Panje Visiting Student Researcher Department of Psychology Stanford

...table: > row.factors(ft) race smoke 1 white FALSE 2 white TRUE 3 black FALSE 4 black TRUE 5 other FALSE 6 other TRUE in such a way that they can be directly used in glm: > glm(ft ~ race + smoke, family=binomial, data = row.factors(ft)) ... Coefficients: (Intercept) raceblack raceother smokeTRUE 1.841 -1.084 -1.109 -1.116 ... Note that the reference level for race is "white" (the first row). PS - Obviously, the same analysis is very easy from the original dataframe (which here is supposed to be missing): > glm(low ~ race + smoke, fam...