Re: st: Features for Stata 14

[Phil Clayton <philclayton@internode.on.net>]

I would like to add:

- Unicode support

- Variable tab completion for factor variables, eg if I type this in the Command window:
sysuse auto
regress price i.rep
then press tab I'd like the i.rep to become i.rep78

I was disappointed that Stata 13 contained no new survival analysis features. I would like to see:

- Cox models with shared frailty to support more clusters (I often run up against the matsize limit)

- New features for -stcrreg-:
1. Stratified models (Zhou 2011)
2. Support for frailty models (Katsahian 2006 and 2011)
3. Goodness of fit test for proportional hazards (Zhou 2013)

Phil

Refs:

Katsahian S, Resche-Rigon M, Chevret S, Porcher R. Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistribution. Stat Med. 2006 Dec 30;25(24):4267–78. 

Katsahian S, Boudreau C. Estimating and testing for center effects in competing risks. Stat Med. 2011 Feb 22. 

Zhou B, Latouche A, Rocha V, Fine J. Competing risks regression for stratified data. Biometrics. 2011 Jun;67(2):661–70. 

Zhou B, Fine J, Laird G. Goodness-of-fit test for proportional subdistribution hazards model. Stat Med. 2013 Apr 28.


On 03/09/2013, at 11:56 AM, Phil Clayton <philclayton@internode.on.net> wrote:

> The new -fp- command supports factor variables - can you give an example where it isn't working as desired?
> 
> Phil
> 
> On 03/09/2013, at 9:30 AM, Adam Olszewski <adam.olszewski@gmail.com> wrote:
> 
>> I will add something that annoys me a lot since I do not like the
>> otherwise obsolete "xi:" prefix:
>> - make -fp- and -mfp- commands recognize and omit factor variables
>> 
>> AO
>> 
>> On Mon, Sep 2, 2013 at 6:12 PM, Richard Williams
>> <richardwilliams.ndu@gmail.com> wrote:
>>> Good idea. I will add
>>> 
>>> * Easier use of margins and marginsplot with multiple-outcome commands like
>>> mlogit and ologit. All this having to add predict(outcome(#1)),
>>> predict(outcome(#2)), etc. is a real pain. The user written routines -mfx2-
>>> and -margeff- made efforts to simplify things but overall they can't match
>>> the many other things margins can do.
>>> 
>>> * Have factor variables support more functions of variables, e.g. log(x),
>>> square root(x), x/y, etc.
>>> 
>>> * More foolproof installation procedures for network administrators who know
>>> nothing about Stata. Why? My classroom did not have Stata, so I requested
>>> it. So, they gave me Stata 12 and I said I wanted 12.1. I'm not sure what
>>> they did, but rather than follow my -update all- instructions they did
>>> something else and now I have this weird hybrid of Stata 12 and 12.1. This
>>> isn't of much use to me because I get a fatal error when I run a regress
>>> command! Installing and updating seems pretty easy to me but if you can make
>>> it even easier for people who have to install dozens of different programs
>>> that would be nice.
>>> 
>>> At 10:00 AM 9/2/2013, William Buchanan wrote:
>>>> 
>>>> Since it is still fairly early in the development cycle for the next
>>>> release of Stata, I thought it might be good to start a thread about things
>>>> that people would like to see added to the next release.
>>>> 
>>>> I would definitely be interested in seeing some updates/expansions to the
>>>> graphics capabilities of Stata.  Alpha level blending is something that has
>>>> come up several times and adding interactive graphics would be a great
>>>> addition to the existing commands (e.g., functionality that is common in
>>>> Tableau and several packages in R).
>>>> 
>>>> Documentation of the lower level graphics commands to make it easier for
>>>> users to extend the graphics capabilities.
>>>> 
>>>> Latent Class Analysis and Latent Transition Analysis with support for all
>>>> types of manifest variables.
>>>> 
>>>> Multivariate mixed-effects models
>>>> 
>>>> Exploratory Factor Analysis with nominal/ordinal/non-normal variables
>>>> 
>>>> Improved debugging tools (e.g., stepwise evaluator for programs, more
>>>> informative error messages, etc...)
>>>> 
>>>> New ways to generate samples of data with specified correlation
>>>> structures/distributions
>>>> 
>>>> I'm curious to see what other people have to say on this topic as well.
>>>> 
>>>> Billy
>>> 
>>> 
>>> -------------------------------------------
>>> Richard Williams, Notre Dame Dept of Sociology
>>> OFFICE: (574)631-6668, (574)631-6463
>>> HOME:   (574)289-5227
>>> EMAIL:  Richard.A.Williams.5@ND.Edu
>>> WWW:    http://www.nd.edu/~rwilliam
>>> 
>>> *
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>> *
>> *   For searches and help try:
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> 


*
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