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This is very OT. If list readers can point me in the right direction, to other mailing lists, or web sites for recommended databases, that will be much appreciated! My wife's doctor wants to move records, for approximately 6000 patients (over a 12 year period), from paper (18th century) to a database (20th century). The data entry will be a PITA, for his secretaries, regardless of what

Hello friends and fellow R users, I have a problem to which I have been unable to find a solution: I am gathering survival data on patients undergoing treatment with a new kind of stent. I want to generate survival data and plot survival curves of these patients based (among other things) on the treating physician. My data set has been tabulated in the following manner: Date (the date the stent

Alternate title: How can I persuade my students that R is for them? Alternate title: Can R replace SAS, SPSS or Stata for clinicians? I am teaching introductory statistics to twelve physicians and two veterinarians who have enrolled in a Mentored Clinical Research Training Program. My course is the first in a sequence of three. We (the instructors of this sequence) chose to teach R rather than

I am using lme from the nlme package to fit a mixed model. We have observations nested in patients(encounters) and patients nested in groups (2 different treatments). We are interested in the differences between the 2 groups, both the means and the standard deviations (are patients in group A less variable than those in group B? both within patient and between patient within group). Here is

Hi group, My case has N physicians with each seeing M patients. One physician could have seen a group of patients, or, a patient could have been seen by multiple number of physicians. In order words, there are overlaps. Now, I have the following NxM matrix Patient#1 Patient#2 Patient#3 ....... Patient#m Physician#1 1 0 1 ....... 0 Physician#2

Hello All, My name is Lauren Wulf and I am a technical recruiter for Brooksouce in Nashville, TN. I have a client here in Nashville that is looking for a Full-time Ruby on Rails programmer. This client is in the healthcare industry and is working on some very innovative applications. Please take a look at the job description and feel free to send this to anyone that might be interested in a

I came across a post by Karl Knoblick regarding the modeling of longitudinal data (see https://stat.ethz.ch/pipermail/r-help/2007-May/132137.html). I am often asked by physicians to perform what Karl refers to in his post as option 1: to perform paired t-tests against baseline at each follow up time point (30 days, 90 days, 6 months, etc.). Unlike Karl's example, however, many of the trials

Noobie question here. :) I have a form with check boxes on them. I simply want the user to check the appropriate boxes, click the action (Add Visits). It''s my understanding, that these check box values go into a hash (add_visit_for_this_Pt), but I can''t seem to get this hash back to my controller for processing. Below is my form. Basically, all the controller is

// ///Clinical Information Technology Research Assistant (102792) We are looking for a Clinical Information Technology Research Assistant to work on the Oxford component of the EURECA FP7 project (Enabling information re-Use by linking clinical REsearch and CAre). The post-holder will be in the Oxford component of the EURECA project and will focus on achieving the deliverable of the project

Dear all, I am currently facing a problem related to the spatial autocorrelation of a sample of stations; these stations supply weekly data for a fixed time-window during the year (namely, 4-6 months per year). For this reason I'm trying to use the R package 'spdep' (specifically Moran's I) in order to get rid of it. Does anyone know how is it possible (if it is...) to

I am trying to determine how to display a list returned from a Rails find(:include => [:children]). I am using the following (which works in the console): @patients = Account.find(session[:account_id]).patients.find(:all, :include => [:patient_details]) How can I address the patient_details to display them in the view? The console even shows a @patient_details instance variable

Hi everyone. I've been looking into the subject of "printing" to PDF with Samba in the last couple of days. Sorry to say that I wasted some time trying to figure out why the [print-pdf generator] in smb.conf didn't work. As always reading every comment carefully will pay off in terms of time wasted! After I realized that with printing = cups in smb.conf samba ignores any

Dear R people Could you please help. Basically, there are two variables in my data set. Each patient ('id') may have one or more diseases ('diagnosis'). It looks like id diagnosis 1 ah 2 ah 2 ihd 2 im 3 ah 3 stroke 4 ah 4 ihd 4 angina 5 ihd .............. Q: How to make three data sets: 1. Patients with ah and ihd 2. Patients with ah but no ihd 3. Patients with ihd but no

I'm working with a nested model (mixed). I have four factors: Patients, Tissue, sex, and tissue_stage. Totally I have 10 patients, for each patient, there are 2 tissues (Cancer vs. Normal). I think Tissue and sex are fixed. Patient is nested in sex,Tissue is nested in patient, and tissue_stage is nested in Tissue. I tried aov and lme as the following, > aov(gene ~ tissue + gender +

Dear All, I have a data sets as shown below A (Patient ID ), B and C are the Concentration of drug in blood on day 1 and day 4, D is the difference in conc. To do this in R I have written a code as follows, identified the number of patients who have more concentration on day 4 . Here I want to identify specifically the patient ID (is he patient 1 or 2 or 5 and 7), whose concentration is more. How

*Bioinformatics/Statistics **Postdoctoral Researcher **University of Oxford, UK * An exciting opportunity has arisen for a Postdoctoral Researcher -- Bioinformatics/Statistics to work on the data-mining and knowledge discovery components of the FP7 project "Enabling information re-Use by linking clinical REsearch and Care", EURECA (http://eurecaproject.eu/partners). By generating a

Hello, I need to subset my data to only look at the parts that have "holes" in it. I already have a formula to get rid of inconsistencies, but now I need to look only at the problem data to reconfigure it. In my data set where there are multiple "cycles" per "patient," and I want to highlight the patients who have a variable was not measured every cycle. Here's a

Hi I have been asked by a colleague to perform a statistical analysis which uses random effects - but I am struggling to get this to work with nlme in R. Help would be very much appreciated! Essentially, the data consists of: 10 patients. Each patient has been given three different treatments (on three separate days). 15 measurements (continuous variable) have been taken from each patient

Dear list, I have been struggling with this for some time now, and for the last hour I have been struggling to make a working example for the list. I hope someone out there have some experience with plotting longitudinal data that they will share. My data is some patient data with three different time stamps. First the patients are identified at different times (first time stamp). Second, they

Dear R-help members, Apologies for the trouble. I have a question : Essentially, I have a dataset which stores genetic variations for individual patients. Each individual patient can have more than one variation, and each new record corresponds to a new variation (thus, both individual patients and variations are non-unique). So the dataset looks something like this ((letters = patients,