methodology

[--28]

hello all,
methodology question here:

Someone has data on 100 patients doctor A has been treating and 150
patients doctor B has been treating. There are scores on the patients
regarding symptoms, complications etc and we want to assess the
performance of doctor A from his 1st patient to the last, i.e. for
operative time we want to know if it has increased or not during the
time he has been seeing patients. The same for doctor B. We do not
want to compare the performance of doctor A with that of doctor B. It
sounds like a series with patient 1 at time point 0 etc. What
statistical method would be used in this situation?

Thank you all in advance

[Francis Levira]

Mixed Models for longitudinal analysis will be a good choice, depending on
the choice to focus on single outcome or multiple outcomes.
The other option to create a single variable for outcome that combine all
available scores for each patient.
Your units of analysis will be patients and and these patients will form
clusters depending on how many times
they have been observed and how many times they have been operated(source of
errors). You will be able to observe the trends
for each Doctor over time without comparing their performance.

Hope you will check the possibility for there models.

Regards,

Francis.


On Tue, Nov 3, 2009 at 3:57 PM, - <dimpol7@...> wrote:

> hello all,
> methodology question here:
>
> Someone has data on 100 patients doctor A has been treating and 150
> patients doctor B has been treating. There are scores on the patients
> regarding symptoms, complications etc and we want to assess the
> performance of doctor A from his 1st patient to the last, i.e. for
> operative time we want to know if it has increased or not during the
> time he has been seeing patients. The same for doctor B. We do not
> want to compare the performance of doctor A with that of doctor B. It
> sounds like a series with patient 1 at time point 0 etc. What
> statistical method would be used in this situation?
>
> Thank you all in advance
>

--
Center for Statistics
Hasselt University
Patersstraat 15
Belgium.
Mobile:[phone]

[--28]

hello all,
I would like some advice on a variation of a problem I had previously
enquired about:

Someone has data on 500 patients doctor A has been treating and 500
patients doctor B has been treating. There are scores on the patients
regarding symptoms, complications etc and we want to assess the
performance of doctor A from his 1st patient to the last, i.e. for
operative time we want to know if it has increased or not during the
time he has been seeing patients. I received some great advice from
you on linear regression, serial correlation etc. My new questions
are:
- If one randomly assigns the 500 patients of doctor A in 5 groups of
100 patients each, and wants to compare e.g. operative time between
these 5 groups, but if it is also necessary to control for variables
like age, would the appropriate method be ANOVA?
- If one wants to compare a group of doctor A with a group of doctor
B, I guess one should apply ANOVA here as well?
- And if we would like to compare the total performances of the two
doctors for a particular score, e.g. operative time, what would be an
appropriate method? Is it ANOVA again?


Thank you all