Displaying 4 results from an estimated 4 matches for "cshrb".
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shrb
2010 Apr 19
2
plotting RR, 95% CI as table and figure in same plot
...factor(row.names(rr)),
y = rr[,1], yplus = rr[,3],
yminus = rr[,2])
abline(v = 1, lty =2)
--
Dave Atkins, PhD
Research Associate Professor
Department of Psychiatry and Behavioral Science
University of Washington
datkins at u.washington.edu
Center for the Study of Health and Risk Behaviors (CSHRB)
1100 NE 45th Street, Suite 300
Seattle, WA 98105
206-616-3879
http://depts.washington.edu/cshrb/
(Mon-Wed)
Center for Healthcare Improvement, for Addictions, Mental Illness,
Medically Vulnerable Populations (CHAMMP)
325 9th Avenue, 2HH-15
Box 359911
Seattle, WA 98104?
206-897-4210
ht...
2010 Apr 26
1
Dropping "trailing zeroes" in longitudinal data
...library(lattice)
xyplot(dv ~ time | id, data = toy.df, type = c("g","l"))
--
Dave Atkins, PhD
Research Associate Professor
Department of Psychiatry and Behavioral Science
University of Washington
datkins at u.washington.edu
Center for the Study of Health and Risk Behaviors (CSHRB)
1100 NE 45th Street, Suite 300
Seattle, WA 98105
206-616-3879
http://depts.washington.edu/cshrb/
(Mon-Wed)
Center for Healthcare Improvement, for Addictions, Mental Illness,
Medically Vulnerable Populations (CHAMMP)
325 9th Avenue, 2HH-15
Box 359911
Seattle, WA 98104?
206-897-4210
ht...
2011 May 04
1
hurdle, simulated power
...0 = 2.5, beta1 = -0.20,
alpha0 = -0.90, alpha1 = 0.20,
theta = 2.2, M = 100)
out
--
Dave Atkins, PhD
Research Associate Professor
Department of Psychiatry and Behavioral Science
University of Washington
datkins at u.washington.edu
Center for the Study of Health and Risk Behaviors (CSHRB)
1100 NE 45th Street, Suite 300
Seattle, WA 98105
206-616-3879
http://depts.washington.edu/cshrb/
(Mon-Wed)
Center for Healthcare Improvement, for Addictions, Mental Illness,
Medically Vulnerable Populations (CHAMMP)
325 9th Avenue, 2HH-15
Box 359911
Seattle, WA 98104
http://www.chamm...
2010 May 20
1
Mixed Effects Model on Within-Subjects Design
Dear R Experts,
I am attempting to run a mixed effects model on a within-subjects repeated
measures design, but I am unsure if I am doing it properly. I was hoping
that someone would be able to offer some guidance.
There are 5 independent variables (subject, condition, difficulty,
repetition) and 1 dependent measure (value). Condition and difficulty are
fixed effects and have 3 levels each