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From |
"Martin Weiss" <martin.weiss1@gmx.de> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: Re: How to solve a problem with globals |

Date |
Tue, 24 Feb 2009 22:02:08 +0100 |

<>

HTH Martin _______________________

To: <statalist@hsphsun2.harvard.edu> Sent: Tuesday, February 24, 2009 7:50 PM Subject: st: How to solve a problem with globals

Dear statalisters, Firstly, I would like to thank several statalisters for the splendid help in my previous questions. Now, I am having the following problem: . global f_pA_1 = 0.5 . local i = 1 . dis $f_pA_`i' 1 . dis $f_pA_1 .5 Is that normal? All the best, Tiago I usually need to compute a value X that satifies a specific condition. A typical example is shown below. But this is only a single example, and ordinarily I have similar, but more complex aims. Hence, I would like to know your expert opinion on how one can make codes these kind of codes faster. Perhaps only Mata helps? In this example, I want to compute the value of tau^2 that imposes the lower limit of my confidence interval to be 0. . . . scalar lower_limit = 999999999 while lower_limit>0 { local tau2 = `tau2'+0.0001 cap drop T_i V_i W_i WT gene T_i= ln(_ES) gene V_i = _selogES^2 gene W_i = 1/(V_i+`tau2') gene WT = W_i*T_i qui summ WT scalar sum_WT = r(sum) qui sum W_i scalar sum_W_i = r(sum) scalar summary_random = sum_WT/sum_W_i scalar lower_limit = summary_random-(1.96/sqrt(sum_W_i)) } Cheers! Tiago * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: How to solve a problem with globals***From:*"Tiago V. Pereira" <tiago.pereira@incor.usp.br>

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