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From |
Rui Liu <ruiliu2010@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Meta-analysis questions |

Date |
Fri, 24 Sep 2010 10:28:22 -0400 |

Thank you Tiago! You were right about the randomi/random, they produced virtually the same results. Except for one case where I have a very small subgroup and the results varied a tiny bit. Regarding the metabias commond, you mentioned that the error showed up because I was trying to "use a command valid only for an older version of the metabias", what would be the new command? Also, I re-installed metabias this morning and it's giving me the same error message. I believe I'm using the most current version of metabias and in the help metabais, there is a 'by' syntax. So I'm a bit confused. Rui On Fri, Sep 24, 2010 at 2:32 AM, Tiago V. Pereira <tiago.pereira@mbe.bio.br> wrote: > Specifically, that error shows up because you are trying to use a command > valid only for an older version of -metabias- > > > I just would like to mention that I have done some confusion with the begg > option in -metabias-. > > As the help file shows " graph - graph displays a Galbraith plot (the > standard normal deviate of intervention effect estimate against its > precision) for the original > Egger test or a modified Galbraith plot of Z/sqrt(V) versus > sqrt(V) for Harbord's modified test. ****There is no corresponding > plot > for the > Peters or Begg tests.***** > > The message you got has nothing to do with the type of data you are > dealing with. > > > > > > > > > > > > > > In practice, as long as the studies to be combined are not very small, I > believe that both random and randomi approaches will give virtually > identical results. > > If you are using data based on logor/selogor, I guess -metan- uses > automatically randomi (or fixedi) even if you specify fixed/random. > > Cheers! > > Tiago > > > >> Dear Rui, >> >> 1) Yes, the default is the fixed-effect inverse variance method if your > data is based on logor and selogor; typing "metan logor selogor, > randomi" will give you the DerSimonian-Laird method. >> >> Type >> >> help metan >> >> to see the options. >> >> >> 2) As the message says, the option begg can handle only raw data (e.g. > 2x2 tables, with a b c d counts) >> >> Type >> >> help metabias >> >> for further information >> >> >> 3) You need to provide more information on your data set, and how the > typename variable was coded. >> >> Also, try the pdfs that the following link shows : >> >> http://tinyurl.com/342osna >> >> >> Hope this helps. >> >> Tiago >> >> >> -------------- >> >> Hi. I'm a new user of STATA and the meta-analysis commands and have a > couple of questions... >> >> 1) For "metan logor selogor" command, is the default fixed effect? and > if I would like to test for the DerSimonian & Laird random effects is it > correct to type "metan logor selogor, random"? >> >> 2) I'm trying to do the command "metabias logor selogor, graph (begg)" > but is giving me the following error message: >> Note: data input format theta se_theta assumed. >> Only Egger or Begg tests can be used with two input variables theta > se_theta >> r(198); >> >> What is causing this and how should I resolve it? >> >> 3) I'm trying to do the command "metafunnel logor selogor, by >> (typename)" where typename is the type of different study designs but is > it giving me the following error message: >> Note: default data input format (theta, se_theta) assumed. >> type mismatch >> r(109); >> >> If i don't put in "by (typename)" it works fine and giving me the funnel > plot. What is causing this and how should I resolve it? >> >> Thank you so much in advance for your guidance. >> >> Rui >> >> > > > > > * > * 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**:**Re: st: Meta-analysis questions***From:*"Tiago V. Pereira" <tiago.pereira@mbe.bio.br>

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