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


From   "Martin Weiss" <[email protected]>
To   <[email protected]>
Subject   Re: st: Re: Monte Carlo Simulation, help!
Date   Sun, 18 Jan 2009 18:17:43 +0100

This thread is getting weirder by the minute: StataDndee seems to think that Stata will read each line of this dataset, and enter his information into the -simulate- command. This is not going to happen. If you want to enter these values one after another and run -simulate-, look at -help foreach-...

HTH
Martin
_______________________
----- Original Message ----- From: "STATA Dndee" <[email protected]>
To: <[email protected]>
Sent: Sunday, January 18, 2009 5:47 PM
Subject: Re: st: Re: Monte Carlo Simulation, help!


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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