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From | Kieran McCaul <kieran.mccaul@uwa.edu.au> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: RE: RE: Using the metan command |
Date | Wed, 10 Jul 2013 09:01:55 +0800 |
.... One of the RR's is not inside the CI. gen byte flag = ((uci>=rr) & (rr>=lci)) tab flag flag | Freq. Percent Cum. ------------+----------------------------------- 0 | 1 1.59 1.59 1 | 62 98.41 100.00 ------------+----------------------------------- Total | 63 100.00 list if flag==0, noobs +-------------------------------------+ | id rr lci uci group flag | |-------------------------------------| | 60 .93 .82 .91 21 0 | +-------------------------------------+ -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Amal Khanolkar Sent: Tuesday, 9 July 2013 8:03 PM To: statalist@hsphsun2.harvard.edu Subject: st: RE: RE: Using the metan command Hi Carole, Thanks for the suggestion! I've got it to work... :) But however it seems to run only if I include a smaller part of my dataset with say 9 RR. If I run it on a dataset with 66 RR, I get the follwoing error msg: metan rr lci uci Effect size and confidence intervals invalid: order should be {effect size, lower ci limit, upper ci limit} r(9); The dataset: input id rr lci uci group id rr lci uci group 1. 1 1.12 0.78 1.62 2 2. 2 0.96 0.83 1.30 2 3. 3 0.96 0.85 1.09 2 4. 4 0.84 0.65 1.07 3 5. 5 0.98 0.90 1.07 3 6. 6 0.95 0.88 1.02 3 7. 7 1.11 0.69 1.80 4 8. 8 1.08 0.90 1.30 4 9. 9 0.85 0.73 0.97 4 10. 10 1.76 1.24 2.50 5 11. 11 1.15 0.98 1.34 5 12. 12 0.86 0.75 0.99 5 13. 13 1.57 1.31 1.87 6 14. 14 0.90 0.82 0.97 6 15. 15 1.07 1.01 1.14 6 16. 16 0.86 0.51 1.45 7 17. 17 0.95 0.80 1.14 7 18. 18 1.31 1.16 1.47 7 19. 19 1.30 1.00 1.70 8 20. 20 0.98 0.88 1.10 8 21. 21 0.76 0.70 0.83 8 22. 22 0.99 0.71 1.40 9 23. 23 0.90 0.80 1.04 9 24. 24 0.91 0.81 1.01 9 25. 25 1.27 0.81 2.00 10 26. 26 0.74 0.60 0.93 10 27. 27 2.57 2.31 2.86 10 28. 28 0.87 0.52 1.44 11 29. 29 0.84 0.70 1.00 11 30. 30 0.70 0.60 0.82 11 31. 31 0.99 0.76 1.28 12 32. 32 0.96 0.87 1.06 12 33. 33 0.99 0.91 1.07 12 34. 34 1.67 1.30 2.14 13 35. 35 1.06 0.94 1.12 13 36. 36 0.68 0.62 0.76 13 37. 37 1.52 1.07 2.16 14 38. 38 1.62 1.42 1.84 14 39. 39 0.67 0.58 0.77 14 40. 40 1.27 0.87 1.85 15 41. 41 0.85 0.71 1.02 15 42. 42 1.85 1.67 2.04 15 43. 43 1.51 1.08 2.10 16 44. 44 1.20 1.06 1.36 16 45. 45 0.43 0.37 0.50 16 46. 46 1.53 0.92 2.55 17 47. 47 0.88 0.72 1.13 17 48. 48 0.74 0.60 0.90 17 49. 49 0.60 0.34 1.02 18 50. 50 1.10 0.94 1.28 18 51. 51 0.62 0.53 0.72 18 52. 52 2.03 1.32 3.12 19 53. 53 1.31 1.08 1.60 19 54. 54 0.90 0.74 1.08 19 55. 55 1.56 1.45 1.67 20 56. 56 1.02 0.99 1.05 20 57. 57 0.93 0.91 0.96 20 58. 58 1.10 1.01 1.21 21 59. 59 1.07 1.03 1.11 21 60. 60 0.93 0.82 0.91 21 61. 61 1.55 1.35 1.77 22 62. 62 1.01 0.95 1.07 22 63. 63 0.86 0.82 0.91 22 64. end Is there a limit on the number of RR that can be included when using metan? Thanks, /Amal ________________________________________ From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of Khairallah, Carole [khaicar] [Carole.Khairallah@liverpool.ac.uk] Sent: 09 July 2013 12:21 To: statalist@hsphsun2.harvard.edu Subject: st: RE: Using the metan command Hi Amal, Your error comes from the fact that you have 1 data line with value 0 as lower and upper CI. If you remove this observation, your command will work. To make the forest plot stratified by e_group, just add in the options: by(e_group) One option: metan rr lci uci, /// nosecsub sgweight /// by(e_group) /// effect(Risk ratio in ... ) /// dp(2) boxsca(30) aspect(0.8) astext(80) textsize(140) Good luck -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Amal Khanolkar Sent: 09 July 2013 12:02 To: statalist@hsphsun2.harvard.edu Subject: st: Using the metan command Hi all, Some issues with using the metan command. I've read the help file for the same, but I need some help in better understanding how I use this command. I have a small dataset as follows: input id rr lci uci e_group 1 1 0 0 1 2 1.12 0.78 1.62 2 3 0.96 0.83 1.30 2 4 0.96 0.85 1.09 2 5 0.84 0.65 1.07 3 6 0.98 0.90 1.07 3 7 0.95 0.88 1.02 3 8 1.11 0.69 1.80 4 9 1.08 0.90 1.30 4 10 0.85 0.73 0.97 4 11 1.76 1.24 2.50 5 12 1.15 0.98 1.34 5 13 0.86 0.75 0.99 5 14 1.57 1.31 1.87 6 15 0.90 0.82 0.97 6 16 1.07 1.01 1.14 6 17 0.86 0.51 1.45 7 18 0.95 0.80 1.14 7 19 1.31 1.16 1.47 7 20 1.30 1.00 1.70 8 21 0.98 0.88 1.10 8 22 0.76 0.70 0.83 8 The five variables above are: ID, risk ratio (rr), lower confidence limit, upper confidence limit, and ethnic group. In effect it is three RRs for three outcomes for each ethnic group obtained from a multinomial logistic regression model, which I would like to show using a forest plot. Just to get a basic forest plot I typed: metan rr lci uci But I get this in response: Effect size and confidence intervals invalid: order should be {effect size, lower ci limit, upper ci limit} So, I'm not sure if I have to provide the weights as part of the above command to get it to work? If so, how do I generate the weights? This is not a true meta-anaylsis that I'm trying to plot, but just relative risks from a multinomial logistic regression model. Ideally I would also like to group the RR according to the grouping variable above. Thanks! /Amal * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/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/faqs/resources/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/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/