Displaying 10 results from an estimated 10 matches for "spiegelhalter".
2006 Jul 24
1
Plotting league tables/ caterpillar plots
...If there isn't such a
function a first attempt for a "selfmade" plot would be to tell boxplot
not to plot boxes (sounds silly isn't it?). I've tried the option
"boxwex=0" but the result is unsatisfactory.
An example for a league table can be found in Marshall, Spiegelhalter
[1998], Reliability of league tables of in vitro fertilisation clinics,
BMJ1998;316:1701-1705, you may find it at http://bmj.bmjjournals.com
Thanks in advance
Eik Vettorazzi
2010 Aug 03
1
Metafor
This is a question of clarification.
IN 2009 Higgins, Thompson and Spiegelhalter (J R Statist Soc A 172:137-159) gave WinBUGs code to get credible intervals from random effects meta analysis for the prediction interval of a new study.
It appears that the predict.rma function creates approximate credible intervals (pending a function revision by the author) for that purpose.
I...
2007 Apr 03
1
Calculating DIC from MCMC output
Greetings all,
I'm a newcomer to Bayesian stats, and I'm trying to calculate the
Deviance Information Criterion "by hand" from some MCMC output.
However, having consulted several sources, I am left confused as to
the exact terms to use. The most common formula can be written as
DIC = 2*Mean(Deviance over the whole sampled posterior distribution)
- Deviance(Mean
2002 Apr 12
1
summary: Generalized linear mixed model software
...lt, see
Lin, X. & Breslow N.E. (1996) in JASA. For empirical demonstartion, see
Carlin et al (2001) in Biostatistics.
(3)Bayesian approach. See for example, Clayton, D. G. (1996).
Generalized linear mixed models. In Markov Chain Monte Carlo in
Practice, Ed W.R. Gilks, S. Richardson & D.J. Spiegelhalter, pp.
275-301. London: Chapman and Hall.
(4)REML estimation in GLMM. I will have a paper in June issue of
Bioemtrika. REML estimation has the same asymptotic property as
standard MLE but less bias for finite samples. Of course, one can argue
that Bayesian formulation automatically generates REML f...
2010 Sep 13
0
New version of rms package on CRAN
....36-1 of survival package by adding
censor=FALSE argument to survfit.coxph
* Added type="ccterms" to various predict methods
* Made type="ccterms" the default for partial g-indexes in gIndex,
i.e., combine all indirectly related (through interactions) terms
* Added Spiegelhalter calibration test to val.prob
* Added a check in cph to trigger an error if strata() is used in
formula
* Fixed drawing of polygon for shaded confidence bands for
survplot.survfit (thanks to Patrick Breheny <patrick.breheny at uky.edu>)
* Changed default adjust.subtitle in bplot...
2010 Sep 13
0
New version of rms package on CRAN
....36-1 of survival package by adding
censor=FALSE argument to survfit.coxph
* Added type="ccterms" to various predict methods
* Made type="ccterms" the default for partial g-indexes in gIndex,
i.e., combine all indirectly related (through interactions) terms
* Added Spiegelhalter calibration test to val.prob
* Added a check in cph to trigger an error if strata() is used in
formula
* Fixed drawing of polygon for shaded confidence bands for
survplot.survfit (thanks to Patrick Breheny <patrick.breheny at uky.edu>)
* Changed default adjust.subtitle in bplot...
2012 Jan 19
4
Bayesian data analysis recommendations
Dear all,
I am trying to learn Bayesian inference and Bayesian data analysis, I
am new in the field. Would any experts on the list recommend any good
sites or materials for beginners?
My approach is to learn and understand the theory first, then program
on my own using R, though I see there are already packages.
appreciate any help, thanks in advance!
2007 Jul 16
1
R equivalent to Matlab's Bayes net toolbox
Hi,
I'm attending summer School at UCLA (IPAM) on "probabilistics models of
cognition". I have been an R-user since v. 1.4.1, but was trained in the
frequentist tradition (as most psychologists!). I found that all faculty
here use matlab and Murphy's bayes net toolbox. I have not had the need to
use matlab before, and would love to stick to R for graphics models and
2010 Dec 13
1
Multivariate binary response analysis
Greetings ~
I need some assistance determining an appropriate approach to analyzing multivariate binary response data, and how to do it in R.
The setting: Data from an assay, wherein 6-hours-post-fertilization zebrafish embryos (n=20, say) are exposed in a vial to a chemical (replicated 3 times, say), and 5 days later observed for the presence/absence (1/0) of defects in several organ systems
2006 Jul 26
2
residual df in lmer and simulation results
Hello. Douglas Bates has explained in a previous posting to R why he does
not output residual degrees of freedom, F values and probabilities in the
mixed model (lmer) function: because the usual degrees of freedom (obs -
fixed df -1) are not exact and are really only upper bounds. I am
interpreting what he said but I am not a professional statistician, so I
might be getting this wrong...
Does