Displaying 20 results from an estimated 20 matches for "hypertension".
2018 May 04
2
Regression model fitting
Hi all ,
I have a dataframe (Hypertension) with following headers :-
> Hypertension
ID Hypertension(before drug A) Hypertension(On drug A) On drug B? Healthy diet?
1 160 90 True True
2...
2008 Jan 22
2
Help - linear regression
...ght. This is labelled as LAVI. The independent variables are race (european or non-eurpoean), age, sex (male or female) of the patient and whether they have diabetes and high blood pressure. sample size 2000 patients selected from a community.
when I model
model1<-lm(lavi~age+sex+race+diabetes+hypertension, data=tb1)
and
model2<-lm(lavi~age+sex+age*race+diabetes+hypertension, data=tb1)
in the first model race comes out as a significant predictor (p<0.005) where as in the second model race is not a significant predictor of lavi (p=.076)
in my dataset mean age is 55.2 years in the non-europ...
2010 Nov 24
0
Hospital ANOVA/ANCOVA problem
Hi everyone,
I've only been using R for a week or so now, and am now required to work
with some pretty mixed data at my hospital.
Basically, we're looking to see if hypertension status (nominal) affects
cardiac function (multiple & continuous). In order to do this, we've
collected multiple echocardiograph data reports on each patient.
1. Each patient is coded either as 0 or 1 for hypertension (HT).
2. Each patient then has multiple echo reports (numbering anywhere...
2004 May 11
0
Question about predict.multinom()
...o,
This is the fitted model:
> fit
Call:
multinom(formula = resp ~ pred$cls + pred$smoke)
Coefficients:
(Intercept) pred$cls2 pred$cls3 pred$cls4 pred$cls5 pred$smoke2 pred$smoke3
Proteinuria -1.140520 0.1616644 0.05554898 -0.01584927 0.02574805 -0.4057245 -0.2898425
Hypertension -2.691215 -0.3699690 -0.22582107 0.01615898 0.26318005 0.1239051 0.2413282
Both -2.285950 -0.4473108 -0.16212932 -0.10477158 0.01272335 -0.4852405 -0.6290152
Residual Deviance: 22809.76
AIC: 22851.76
... and these, to my understanding, should be the estimated category
probabi...
2004 Jul 30
1
FWER + multiple linear models
...'s algorithm +
resampling into the scheme:
lm -> stepAIC -> anova.
Actually permcor works fine for me in the case of one regression
variable, I need extension for multiple regression models.
Any ideas are very much wellcome!
Sincerely yours,
Serguei Baranov
Research "Obesity & Hypertension"
MPI of Molecular Genetics, Ihnestr. 73, 14195, Berlin, Germany
phone: +49 30 84131238
fax: +49 30 84131228
2009 Oct 14
3
post-hoc test with kruskal.test()
...ficance, but I still don''t know the relationship and the
significance level between each group?
Do you have any suggestion?
Many thanks in advance!
Robert
___________________________________________
Robert M. Kalicki, MD
Postdoctoral Fellow
Department of Nephrology and Hypertension
Inselspital
University of Bern
Switzerland
Address:
Klinik und Poliklinik für Nephrologie und Hypertonie
KiKl G6
Freiburgstrasse 15
CH-3010 Inselspital Bern
Tel +41(0)31 632 96 63
Fax +41(0)31 632 14 58
[[alternative HTML version deleted]]
2010 Jul 03
2
logistic regression - glm() - example in Dalgaard's book ISwR
....
The question is based on an example provided on p. 229
in P. Dalgaard, Introductory Statistics with R, 2nd. edition,
Springer, 2008. By means of this example, I was trying to
practice the different ways of entering data in glm().
In his book, Dalgaard provides data from a case-based study
about hypertension summarized in the form of a table. He shows
two ways of entering the response (dependent) variable data
in glm(): (1) as a matrix of successes/failures (diseased/
healthy); (2) as the proportion of people diseased for each
combination of independent variable's categories.
I tried to enter the...
2006 Jul 06
0
read.xport issues
...sease
DIABETESDiabetes HERPES Genital Herpes ¡
HYDRA Hydramnios/Olgohydramnios HEMO Hemoglobinopathy ±
CHYPER Hypertension, Chronic PHYPER Hypertension, Pregnancy-Associated
Á
CLAMP Eclampsia INCERVIXIncompetent Cervix
PRE4000 Previsou Infant 4000+ grams...
2004 Nov 23
6
Weibull survival regression
...time, status)~ 1, dist="weibull", data=lung,
na.action=na.omit)
survplot(lung.wbd)
Returns the error msg:
Error in survplot.Design(lung.wbd) : fit does not have design
information
Using the eha package (I have not figured out how to get baseline
function only, but have used ht=0/1 hypertension as a covariate):
lung.wbe <- weibreg (Surv (futime, status)~ ht, y=T, data=audit,
na.action=na.omit)
plot (lung.wbe)
I get a plot with hazard (y) against age (x) ??? I cannot control the
axes with labeling and any other covariate gets the same plot.
I have tried using covariates in the D...
2007 Nov 06
1
Integrating a function
...xlim=c(0,250),
ylim=c(0.25,0.35), xlab="time in days", ylab="Hct")
par(new=T)
print(c(n, surviv(n), geq(n),
as.integer(integrate(surviv,0,n)[1]))
n <- n + 1
}
Robert M. Kalicki, MD
Department of Nephrology and Hypertension
University of Bern
Abteilung für Nephrologie und Hypertonie (KiKl G5)
Freiburgstrasse 15
CH-3010 Inselspital
Tel: +41316329663
Fax:+41316329734
[[alternative HTML version deleted]]
2017 Sep 14
3
Help understanding why glm and lrm.fit runs with my data, but lrm does not
...quot;,"4"))
gusto2$HRT <- factor(gusto2$HRT, labels=c("No","Yes"))
gusto2$ANT <- factor(gusto2$ANT, labels=c("No","Yes"))
var.labels=c(DAY30="30-day Mortality", AGE="Age in Years", KILLIP="Killip Class", HYP="Hypertension", HRT="Tachycardia", ANT="Anterior Infarct Location")
label(gusto2)=lapply(names(var.labels),function(x) label(gusto2[,x])=var.labels[x])
ddist = datadist(gusto2)
options(datadist='ddist')
fit1 <- lrm(DAY30~AGE+HYP+KILLIP+HRT+ANT,gusto2)
Error in lrm(DAY30 ~ A...
2010 Sep 07
0
AHRQ - Creation of Comorbidity Variables
...44200:44289, 4431:4439, 44310:44389, 44421:44422,
p3, 449)
htn = c(4011, 4019, 64200:64204)
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...
2010 Jul 16
2
a issue about the qutation mark?
...;- nrow(imge) # line7
nsnp <- nrow(trait) #line 8
for(i in 1:ngenes) {
for(j in 1:nsnp) {
if(imge$d1[i]==trait$d1[j] & imge$d2[i]==trait$d2[j]) trait$imgene2[j] <-
imge$Gene[i]
else trait$imgene2[j] <- NA
}
}
return(trait)
}
hypertension <- funcname("folder/hyper.csv") # last line
######################################
So, as we all know, when using "read.csv", we need to use qutation mark out
side the filename which we wanna read in. At first, for line 8, I wrote:
read.csv("trait.file"), at la...
2017 Sep 14
0
Help understanding why glm and lrm.fit runs with my data, but lrm does not
...uot;))
> gusto2$HRT <- factor(gusto2$HRT, labels=c("No","Yes"))
> gusto2$ANT <- factor(gusto2$ANT, labels=c("No","Yes"))
> var.labels=c(DAY30="30-day Mortality", AGE="Age in Years", KILLIP="Killip Class", HYP="Hypertension", HRT="Tachycardia", ANT="Anterior Infarct Location")
> label(gusto2)=lapply(names(var.labels),function(x) label(gusto2[,x])=var.labels[x])
>
> ddist = datadist(gusto2)
> options(datadist='ddist')
>
> fit1 <- lrm(DAY30~AGE+HYP+KILLIP+HRT+ANT,g...
2004 Jan 06
0
MGPXIPS, and who might
emigrate tough sprightly torque tallyho
alizarin dispersible chipmunk hypertensive rhine tincture creating cryptanalyze
conjoint odious also downstream brew footage
2003 Jan 22
2
Damnit audit
Hi, all.
It seems like everybody ignore my letters about audit in samba.
I wanna ask one simple question-
have anyone working audit in samba ?
WBR
--
Origin:...and your cities will become your tombs(2:5054/63@Fidonet)
2017 Sep 14
1
Help understanding why glm and lrm.fit runs with my data, but lrm does not
...to2$HRT <- factor(gusto2$HRT, labels=c("No","Yes"))
> > gusto2$ANT <- factor(gusto2$ANT, labels=c("No","Yes"))
> > var.labels=c(DAY30="30-day Mortality", AGE="Age in Years",
> KILLIP="Killip Class", HYP="Hypertension", HRT="Tachycardia", ANT="Anterior
> Infarct Location")
> > label(gusto2)=lapply(names(var.labels),function(x)
> label(gusto2[,x])=var.labels[x])
> >
> > ddist = datadist(gusto2)
> > options(datadist='ddist')
> >
> > fit1 &l...
2011 Jun 13
0
How to formulate an (effect-modifying) interaction with matching variable in a conditional logistic regression?
...race Race 1 = White
# 2 = Black
# 3 = Other
# smoke Smoking Status 0 = No,1 = Yes
# During Pregnancy
# ptd History of Premature Labor 0 = None,1 = Yes
# ht History of Hypertension 0 = No, 1 = Yes
# ui Presence of Uterine 0 = No, 1 = Yes
# Irritability
pair<-rep(1:56, each=2)
low<-rep(c(0,1), 56)
age<-c(14,15,16,17,17,17,17,17,18,18,19,19,19,20,20,20,20,20,
20,20,20,21,21,21,21,21,22,22,23,23,23,23,23,24,24,24,
24,24,25,25,25,2...
2010 Mar 29
3
Page width figures in Latex
bRotheRs & sisteRs,
I am once again attempting to learn enough Latex voodoo to get something
done, and failing comically. The document "RJAuthorguide.pdf"
mentions that one can get page width figures through the use of the
"figure*" or "table* environments, but despite considerable searching
through the mail archives and reading Frank Harrell's discussion of
2003 Sep 25
1
Diamond graphs, again.
Some time ago I was allowed to discuss "Diamond Graphs", and whether
they would be useful in R, in this mailing list.
The August 2003 issue of The American Statistician has finally arrived
here and I have been able to read the article. A number of points of
interest arise.
1. The article is
"A Diamond-Shaped Equiponderant Graphical Display of the
Effects of Two