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From |
Haluk Vahaboglu <vahabo@hotmail.com> |

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

Subject |
RE: st: RE: Nonlinear least squares restrictions |

Date |
Thu, 6 Jun 2013 09:00:31 +0000 |

TD P { margin-bottom: 0in; }P { margin-bottom: 0.08in; } Hello Everybody, In our research papers we mostly present continuous data in a table with comparison to cases vs controls as “n mean SD and p (from Ttest)”. Here is a brief example of such a table: Cases / Controls N mean (SD) N mean (SD) p Var1 Var2 With STATA I use these commands 1. “estpost tabstat age VAR1 VAR2, by(C/C) s(n mean sd) c(s)” 2. “esttab ., main(mean) aux(sd) unstack noobs nonote wide compress label” 3. “estpost ttest age VAR1 VAR2, by(C/C) une w” 4. “esttab ., cell("p (fmt(3))")” and get two separate tables; “n mean SD” in one and “p” in the other. I, afterwards merge these two (in an Exel spreadsheet) as a table formatted as mentioned above. Is there any simple way to get a table with "n-mean-SD-p" all in one line for multiple continuous variables? TD P { margin-bottom: 0in; }P { margin-bottom: 0.08in; } Prof. Dr. Haluk Vahaboğlu Istanbul Medeniyet Üniversitesi, Göztepe Eğitim ve Araştırma Hastanesi Enfeksiyon Hastalıkları ve Klinik Mikrobiyoloji ABD Dr. Erkin Caddesi 34730 Kadıköy / Istanbul TURKIYE ---------------------------------------- > Date: Thu, 6 Jun 2013 09:29:28 +0100 > From: ga274@cam.ac.uk > To: statalist@hsphsun2.harvard.edu > Subject: Re: st: RE: Nonlinear least squares restrictions > > Hi Tim, > > Thanks a lot for getting back to me. Unfortunately I'm not sure standard > OLS will work here- I want to constrain the relative responses in the > vector B to be constant over time- and the estimate both the dummy scalar b > (for each year) and the vector B. > > Will give the stuff on dummy variables a read - looks like it could prove > useful. > > Many thanks, > > Gareth > > > On Jun 6 2013, tshmak wrote: > >>Hi Gareth, >> >> I think this is a linear regression rather than a nonlinear regression >> problem. >> >>Naively, we can just create a variable called year, run: >> >>reg y i.year##X, nocons >> >>This would result in a different intercept and slope for each year. >> >> To make the average of b = 1, simply divide the year-specific slopes by >> the average of the slopes, the average being your estimate of B. >> >> The only problem of this approach is that your slopes across years would >> not meet at the boundary. To constraint the slopes to meet, you need to >> use splines. The best place to start is probably Roger Newson's -bspline- >> package. Dr. Newson has also written a few informative articles >> explaining their use in Stata Journal. >> >>HTH, >>Tim >> >> ps. I think the reason -nl- fails on this problem is that the problem is >> not identified unless you can somehow constraint the b to average 1, and >> I'm not sure you can do that in -nl-. >> >> >> >> -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu >> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of G. Anderson >> Sent: 05 June 2013 19:24 To: statalist@hsphsun2.harvard.edu Subject: st: >> Nonlinear least squares restrictions >> >>Hi, >> >>Using daily data, I am trying to estimate a relationship of the form y=a >>+bBX +u >> >>Where a is a scalar which can vary across years, b is a scalar which can >>vary across years, X is a vector of data and B is a vector of parameters >>which is fixed across years. >> >> Therefore I am trying to estimate a, b and B. I want to normalise b so >> that on average it is equal to 1 across years. >> >>I have tried experimenting using the nonlinear regression function but so >>far to no avail- is this type of restriction possible in Stata? >> >>Many Thanks, >> >>Gareth >> >>* >>* 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/

**Follow-Ups**:**st: table formatting in stata***From:*Haluk Vahaboglu <vahabo@hotmail.com>

**References**:**st: Nonlinear least squares restrictions***From:*"G. Anderson" <ga274@cam.ac.uk>

**st: RE: Nonlinear least squares restrictions***From:*tshmak <tshmak@hku.hk>

**Re: st: RE: Nonlinear least squares restrictions***From:*"G. Anderson" <ga274@cam.ac.uk>

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