similar to: Treatment effects on measurements through time: how to tell when (in time) treatment has a significant effect?

Hello all, I have a question regarding my analysis and how to correctly model this in r syntax. I have a dataset from an experiment in which each subject received 3 treatments (HealthPrime, HedPrime and NonfPrime; within subjects factor). In each of these treatments, 40 measurements have been done of my DV (choice_topbottom, contineous variable) and two other predictor variables

Dear, I want to analyze an outcome in an RCT using lme but I am not sure that I have chosen the right way for the model. We measured the outcome three times repeatedly in the same patient. One time before intervention and two times after intervention. I wanted to adjust for the correlated data in the repeated measurement and baseline differences in the variable in order to get the treatment

I am just applying the latest C6 updates to a couple of KVM Linodes. It appears that the latest update of util-linux-ng has added a new dependency on the kernel package. On these VMs, the kernel package is not normally installed, and the VM runs a host-supplied kernel. But now, a "yum update" wants to install for dependencies kernel, kernel-firmware and grubby, none of which should be

In article <CAG2kNCyjsQZ2qW_8BBLp8BH_20=JgxoEYpn9BSwZhXg7_rHBbg at mail.gmail.com>, Gianluca Cecchi <gianluca.cecchi at gmail.com> wrote: > On Mon, Nov 21, 2016 at 12:49 PM, Tony Mountifield <tony at softins.co.uk> > wrote: > > > I am just applying the latest C6 updates to a couple of KVM Linodes. > > It appears that the latest update of util-linux-ng has

I'm ready to take w2k and Bill Grates and hang them up by their balls. Under Win98SE, it is easy to add a network printer attached to Samba. But under w2k, it refuses to do it. I've tried two ways to get the damn thing installed to the net and it fails. First I did the route of adding a network printer. It browsed and found my \\MRVIDEO\lp printer. It also found \\MRVIDEO\scroll,

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Hello all: I would like to test whether there are treatment effects on decomposition rate, and I would like to inquire about the best, most appropriate means using R. I have plant decomposition data that is generally considered to follow an exponential decay model as follows: Wt = Wi * exp(-k * t) Where Wt and Wi are the weights of the plant material at time t and 0, respectively. k is a

All, How does one specify a model in lmer such that say the random effect for the intercept has a different variance per treatment group? Thus, in the model equation, we'd have say b_ij represent the random effect for patient j in treatment group i, with variance depending on i, i.e, var(b_ij) = tau_i. Didn't see this in the docs or Pinherio & Bates (section 5.2 is specific for

I am trying to translate a given BMDP 8V problem treatment to something approximately equivalent in nlme package (or base R, if sufficient). (Of course, it is not my goal to end there. I want to get access to the advanced flexibility of a more modern treatment.) Here is the problem statement in BMDP control language: /input title='Augenbewegungen'. variables=4.

Hello, does anyone know something about missing data in the MCMC pack? thank you, Mariagiulia Mariagiulia Matteucci Dipartimento di Scienze Statistiche ?Paolo Fortunati? Universit? di Bologna Via Belle Arti, 41 40126 Bologna (ITALY) e-mail: matteucci at stat.unibo.it TEL: +39 051 264182 FAX: +39 051 232153

Hi there, I'm wondering what Zelig in the following situation (code below) actually does. Is this considered as a so called regression adjustment after the propensity score matching? library(MatchIt) library(Zelig) data(lalonde) re78 represents the outcome variable 1. With Zelig m.out <- matchit(treat ~ age + educ + black + hispan + married + nodegree + re74 + re75, data = lalonde)

When using an ordered factor in aov, how do I break the treatment sum of squares into all its separate degrees of freedom? In other words can I use contr.poly in aov to get the full breakdown of the treatment sum of squares? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I have to the treatment effect base on the observational data.And the treatment variable is multinomial rather than binary.Because the treatment assignment is not random,so the selection-bias exists.Under this condition,what's the best way to estimate the treatment effect? I know that if the treatment is binary,I can use propensity score matching using MatchIt package.But what about

Dear R usuer, I need to fit logistic regression with binomial response. The objective is to compare treatment groups controlling other categorical and continuous predictors. The GLM procedure with family=binomial(Logit) gives me parameters estimates as well as odd ratios. But objective is to compare if treatment groups are significantly different. I have used wald test but got error message (Plz

Dear all, I am using "coxme" function in Kinship library to fit random treatment effect nested within centre. I got 3 treatments (0,1,2) and 3 centres. I used following commands, but got an error. > ugroup=paste(rep(1:3,each=3),rep(0:2,3),sep='/') > mat1=bdsmatrix(rep(c(1,1,1,1,1,1,1,1,1),3),blocksize=rep(3,3),dimnames=list(ugroup,ugroup)) >

https://bugzilla.netfilter.org/show_bug.cgi?id=616 Phil Oester <netfilter at linuxace.com> changed: What |Removed |Added ---------------------------------------------------------------------------- CC| |netfilter at linuxace.com --- Comment #3 from Phil Oester <netfilter at linuxace.com> 2013-06-21

https://bugzilla.netfilter.org/show_bug.cgi?id=616 --- Comment #4 from Phil Oester <netfilter at linuxace.com> 2013-07-08 23:33:07 CEST --- As noted, #2 is solved already. Also, /128 will no longer print (commit 945353a2). But your #1 makes little sense to me: discovery.razor.cloudmark.com/22. How do you know that EVERY IP returned from a DNS lookup is always going to be a /22 mask?

https://bugzilla.netfilter.org/show_bug.cgi?id=616 --- Comment #5 from - <kd6lvw at yahoo.com> 2013-07-09 03:45:06 CEST --- Re: Comment #4. One doesn't know what the addresses are until they are retrieved from the DNS. The point is that the routines which generate the rules are NOT checking the values AFTER the CIDR netmask is applied to eliminate POST-MASK duplicate answers. The

https://bugzilla.netfilter.org/show_bug.cgi?id=616 --- Comment #6 from Phil Oester <netfilter at linuxace.com> 2013-07-09 03:50:27 CEST --- Yes, I fully understand what is happening in the one specific example you have provided. However you need to answer what happens if Cloudmark suddenly decides to add an IP _OUTSIDE_ of that /22 that is assigned to them. Let's say they open a new

https://bugzilla.netfilter.org/show_bug.cgi?id=616 --- Comment #7 from - <kd6lvw at yahoo.com> 2013-07-09 09:35:30 CEST --- Re: Comment #6 - It is up to the author of the ruleset to determine policy. It is the duty of the software to properly execute that policy. Here, the software fails to do so because it produces duplicate redundant rules which are never used. Note that iptables-save