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Re: st: Re: Monte Carlo Simulation, help!


From   STATA Dndee <[email protected]>
To   [email protected]
Subject   Re: st: Re: Monte Carlo Simulation, help!
Date   Sun, 18 Jan 2009 16:47:43 +0000 (GMT)

Thanks dear Martin 
I tried that and got the same error. Then arranged the data in data editor like this

     +-----------------------+
     | obs   mean        var |
     |-----------------------|
  1. |   1     71   .0007049 |
  2. |   2    259    .000269 |
  3. |   3    121     .00066 |
  4. |   4    262   .0003177 |
  5. |   5    192      .0005 |
     |-----------------------|
  6. |   6    120   .0011873 |
     +-----------------------+
and then this command with vluaes of the mean obs from the last table:

simulate mean=r(mean) var=r(Var), reps(10000): lnsim, obs(6) mu(713
) sigma(0.000102877)

And got the same error
loc not found
an error occurred when simulate executed lnsim
r(111);

And that as before everything in data editor was gone. there should be something with "lnsim" in command.

Thank you so much for your help.


--- On Sun, 18/1/09, Martin Weiss <[email protected]> wrote:

> From: Martin Weiss <[email protected]>
> Subject: Re: st: Re: Monte Carlo Simulation, help!
> To: [email protected]
> Date: Sunday, 18 January, 2009, 3:55 PM
> "loc not found" sounds weird, the real trouble is
> that you put a "%" sign in 
> the "sigma" specification. Just put 0.027
> there...
> 
> HTH
> Martin
> _______________________
> ----- Original Message ----- 
> From: "STATA Dndee"
> <[email protected]>
> To: <[email protected]>
> Sent: Sunday, January 18, 2009 4:50 PM
> Subject: Re: st: Re: Monte Carlo Simulation, help!
> 
> 
> > Hi
> >
> > I have tried the following commande:
> >
> > simulate mean=r(mean) var=r(Var), reps(10000): lnsim,
> obs(100)
> >
> > from STATA help and for Inst. F
> >
> > my command was:
> > simulate mean=r(mean) var=r(Var), reps(10000): lnsim,
> obs(273) mu(71) 
> > sigma(2.7%)
> >
> > and I got the following error:
> >
> > loc not found
> > an error occurred when simulate executed lnsim
> > r(111);
> > When it resolved I should run the analysis for all
> INSs and the mean?
> >
> > the SE in the floowing table was SD.
> >
> >
> > I have copied the  table again.
> >
> > Many thanks for any comment
> > Bests
> >
> >
> >    
> +-------------------------------------------------------+
> >     | inst   cases   total   outcome     lci     uci  
>   sd |
> >    
> |-------------------------------------------------------|
> >  1. |    f      71     273    26.01%   20.8%   31.2%  
> 2.7% |
> >  2. |    e     259     809    32.01%   28.8%   35.2%  
> 1.6% |
> >  3. |    c     121     345    35.07%   30.0%   40.1%  
> 2.6% |
> >  4. |    d     262     726    36.09%   32.6%   39.6%  
> 1.8% |
> >  5. |    b     192     480    40.00%   35.6%   44.4%  
> 2.2% |
> >    
> |-------------------------------------------------------|
> >  6. |    a     120     204    58.82%   52.1%   65.6%  
> 3.4% |
> >  7. | mean     713    2153    33.12%   31.1%   35.1%  
> 1.0% |
> >
> >
> >
> >
> >
> > --- On Sun, 18/1/09, STATA Dndee
> <[email protected]> wrote:
> >
> >> From: STATA Dndee <[email protected]>
> >> Subject: Re: st: Re: Monte Carlo Simulation, help!
> >> To: [email protected]
> >> Date: Sunday, 18 January, 2009, 1:20 PM
> >> Thanks for your kind and quick reply Martin
> >>
> >> I tried it before but couldn't understand the
> commands
> >> in Help file. I arranged the data with the CIs.
> >>
> >>
> >>
> +-------------------------------------------------------+
> >>      | inst   cases   total   outcome     lci    
> uci
> >> se |
> >>
> >>
> |-------------------------------------------------------|
> >>   1. |    f      71     273    26.01%   20.8%  
> 31.2%
> >> 2.7% |
> >>   2. |    e     259     809    32.01%   28.8%  
> 35.2%
> >> 1.6% |
> >>   3. |    c     121     345    35.07%   30.0%  
> 40.1%
> >> 2.6% |
> >>   4. |    d     262     726    36.09%   32.6%  
> 39.6%
> >> 1.8% |
> >>   5. |    b     192     480    40.00%   35.6%  
> 44.4%
> >> 2.2% |
> >>      |
> >>   6. |    a     120     204    58.82%   52.1%  
> 65.6%
> >> 3.4% |
> >>   7. | mean     713    2153    33.12%   31.1%  
> 35.1%
> >> 1.0% |
> >>
> >>
> +-------------------------------------------------------+
> >>
> >> Regards
> >>
> >>
> >>
> >> --- On Sun, 18/1/09, Martin Weiss
> >> <[email protected]> wrote:
> >>
> >> > From: Martin Weiss
> <[email protected]>
> >> > Subject: st: Re: Monte Carlo Simulation,
> help!
> >> > To: [email protected]
> >> > Date: Sunday, 18 January, 2009, 11:49 AM
> >> > A very warm welcome to you in the Stata
> community,
> >> good to
> >> > see you :-) Try -help simulate- for a start!
> >> >
> >> > HTH
> >> > Martin
> >> > _______________________
> >> > ----- Original Message ----- From:
> "STATA
> >> Dndee"
> >> > <[email protected]>
> >> > To: <[email protected]>
> >> > Sent: Sunday, January 18, 2009 12:46 PM
> >> > Subject: st: Monte Carlo Simulation, help!
> >> >
> >> >
> >> > > Hi
> >> > > I want to rank institutions for and
> outcome given
> >> in
> >> > outcome% based on Monte Carlo simulation and
> produce a
> >> table
> >> > like table 2 in
> >> >
> http://plus.maths.org/issue46/risk/index.html.  The
> >> method
> >> > is also described by Spiegelhalter in BMJ,
> 1998,
> >> > 316(1701-1705).
> >> > > I am a beginner in STATA. Could anyone
> help me in
> >> > performing the analysis in STATA? I need the
> commands
> >> and
> >> > number of iterations.  Number of institutions
> is more
> >> than
> >> > in the sample.
> >> > >
> >> > > Any help will be really appreciated.
> >> > > Kind regards
> >> > >
> >> > > Inst. cases total outcome%
> >> > > f 71 273 26.01%
> >> > > e 259 809 32.01%
> >> > > c 121 345 35.07%
> >> > > d 262 726 36.09%
> >> > > mean 713 2153 33.12%
> >> > > b 192 480 40.00%
> >> > > a 120 204 58.82%
> >> > >
> >> > >
> >> > >
> >> > >
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