search for: physician

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...riends 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 was implanted) Description (diameter of the stent) Patient (name) MRN (ID number) Age (age in years of the patient) Physician (last name of the implanting physician) status (0 or 1) days (days alive since the sten...

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#...

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...integer. When I run summary.lm() on this model, I get a standard linear regression summary (in which one categorical variable has to be converted into many indicator variables) which looks like : Estimate Std. Error t value Pr(>|t|) (Intercept) -3595.3 2767.1 -1.299 0.2005 physicianB 802.0 2289.5 0.350 0.7277 physicianC 4906.8 2419.8 2.028 0.0485 * severity 7554.4 906.3 8.336 1.12e-10 *** and when I run summary.aov() I get similar ANOVA table : Df Sum Sq Mean Sq F value Pr(>F) physician 2 294559803 147279901 3...

...@search_pages instead of say @dentist and @dentist pages. I''ve done a quick outline of how my controller now work below. I''d really like to do this in separate controllers, but I''m wondering where is the best place to put the shared code in a situation like this. def physician # action for physician search search end def dentist # action for dentist search search end def search ## shared code if params[:address] or params[:page] if params[:action] == ''physician'' @search_pages,@search = physician_search elsif params[:action] == &...

I am trying to model a clusterd ordinal response data (either 1, 2 or 3) called , the correponding physician of the patient is also in the data. Since it is ordinal, I used the ordinal logit model topbox[i]~discrete with probability P[j,1],p[j,2], p[j,3], j is the corresponding physician of the ith patient C[j] is the physician effect , a1 and a1+theta is the common cutpoints for all physicians I g...

....cn> > Subject: an ordinal regression MCMC run high correlation > To: r-help at r-project.org > Cc: chen1984612 at yahoo.com.cn > Date: Tuesday, March 16, 2010, 12:19 PM > I am trying to model a clusterd > ordinal response data (either 1, 2 or 3) called , the > correponding physician of the patient is also in the data. > > Since it is ordinal, I used the ordinal logit model > > topbox[i]~discrete with probability P[j,1],p[j,2], p[j,3], > j is the corresponding physician of the ith patient > > C[j] is the physician effect , a1 and a1+theta is the >...

Hi all, I am trying to convert a data set of physician death codings (each individual's cause of death is coded by multiple physicians) from long to wide format, but the "reshape" function doesn't seem to work because it requires a "time" variable to identify the sequence among the repeated observations within individuals....

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 some other computing environment. My (highly motivated) students have never encountered any...

...t presents 3) if they do not already have an EMR system, this give them an entry point that addresses one of the major barriers to adoption: the cost of getting existing records into the system (patients do most of the data entry for them) 4) it gets the politicians off their backs ("98% of US physicians now accept patient''s medical records in electronic form" instead of "Physicians are slow to adopt IT...") The benefits to the RoR community include: 1) increased visibility of RoR in general (EMRs are a hot topic and I have plans that will ensure the site gets national att...

Ok, I''m hoping this won''t be a forehead slapper, but take a look at this code: physician.name.sub(/''/, "\\''") I''m trying to substitute a single quote with a backslash and a single quote. This seems pretty simple right? Well, someone kick me and tell me why it''s not :) Here''s what I''m getting if the physician''s...

Dear group, I am trying to use gamm() in mgcv. Here's the scenario. The data frame has approx. 110K observations with information on paediatric readmission binary outcome (Y/N) and total volume of their most responsible physician as the covariate. Since any physician can have multiple patients, the data contains clustering structure which I am trying to account for. My original formula is a <- gamm(readmission~s(volume,fx=F), correlation=corCompSymm(0.1,form=~1|physician), family=binomial) During the first iteration,...

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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 I am involved in are one-armed (so there are no across-trial-arms comparisons)...

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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