Re: [R] analysing mixed effects/poisson/correlated data

2008-03-10 Thread Douglas Bates
On Sat, Mar 8, 2008 at 11:00 AM, Manuel Morales <[EMAIL PROTECTED]> wrote: > On Sat, 2008-03-08 at 08:07 -0600, Douglas Bates wrote: > > On Sat, Mar 8, 2008 at 2:57 AM, Alexandra Bremner > > <[EMAIL PROTECTED]> wrote: > > > I am attempting to model data with the following variables: > > > >

Re: [R] analysing mixed effects/poisson/correlated data

2008-03-08 Thread Manuel Morales
On Sat, 2008-03-08 at 08:07 -0600, Douglas Bates wrote: > On Sat, Mar 8, 2008 at 2:57 AM, Alexandra Bremner > <[EMAIL PROTECTED]> wrote: > > I am attempting to model data with the following variables: > > > timepoint - n=48, monthly over 4 years > > hospital - n=3 > > opsn1 - no of outcomes

Re: [R] analysing mixed effects/poisson/correlated data

2008-03-08 Thread Douglas Bates
On Sat, Mar 8, 2008 at 2:57 AM, Alexandra Bremner <[EMAIL PROTECTED]> wrote: > I am attempting to model data with the following variables: > timepoint - n=48, monthly over 4 years > hospital - n=3 > opsn1 - no of outcomes > total.patients > skillmixpc - skill mix percentage > nurse.hours.p

[R] analysing mixed effects/poisson/correlated data

2008-03-08 Thread Alexandra Bremner
I am attempting to model data with the following variables: timepoint - n=48, monthly over 4 years hospital - n=3 opsn1 - no of outcomes total.patients skillmixpc - skill mix percentage nurse.hours.per.day Aims To determine if skillmix affects rate (i.e. no.of.outcomes/total.patien