Re: [R] confidence interval for logistic joinpoint regression from package ljr

2010-12-01 Thread Vito Muggeo (UniPa)

dear M.,
I do not know how to get the SE for the joinpoint (or breakpoint) from 
your ljr fit. However you can find useful the segmented package which 
works for any GLM (including the logistic one) and it returns 
(approximate) StErr (and Conf Int) also for the joinpoint (breakpoint in 
the segmented package). For some examples, see the R news paper

http://cran.r-project.org/doc/Rnews/Rnews_2008-1.pdf

Also, as regards to the APC, you could find interesting the following note

http://onlinelibrary.wiley.com/doi/10.1002/sim.3850/abstract

hope this helps you,
vito


Il 30/11/2010 23.54, moleps ha scritto:

I´m trying to run a logistic joinpoint regression utilising the ljr package. 
I´ve been using the forward selection technique to get the number of knots for 
the analysis, but I´m uncertain as to my results and the interpretation. The 
documentation is rather brief ( in the package and the stats in medicine 
article is quite technical) and without any good examples. At the moment I´m 
thinking
1)find the number of knots both using forward and backward techniques and see 
if they are close
2)present the annual percent change (APC) for each of the intervals, ie my 
present data (1950-2010 in 5 year intervals) is giving me

Variables  Coef
b0 Intercept -131.20404630
g0 t0.06146463
g1 max(t-tau1,0)   -0.51582466
g2 max(t-tau2,0)0.43429615

Joinpoints:

1 tau1= 1990.5
2 tau2= 1995.5

APC 1950-1990=exp(0.06)=1.06--6%
1990-1995=exp(0.06-0.51)=exp(-0.45)=0.63--  -37%
1995-2010=exp(0.06-0.51+0.43)---2%

3) Preferably a confidence interval for the APC should be given. However, this 
I havent figured out yet.

//M

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Vito M.R. Muggeo
Dip.to Sc Statist e Matem `Vianelli'
Università di Palermo
viale delle Scienze, edificio 13
90128 Palermo - ITALY
tel: 091 23895240
fax: 091 485726/485612
http://dssm.unipa.it/vmuggeo

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[R] confidence interval for logistic joinpoint regression from package ljr

2010-11-30 Thread moleps
I´m trying to run a logistic joinpoint regression utilising the ljr package. 
I´ve been using the forward selection technique to get the number of knots for 
the analysis, but I´m uncertain as to my results and the interpretation. The 
documentation is rather brief ( in the package and the stats in medicine 
article is quite technical) and without any good examples. At the moment I´m 
thinking 
1)find the number of knots both using forward and backward techniques and see 
if they are close
2)present the annual percent change (APC) for each of the intervals, ie my 
present data (1950-2010 in 5 year intervals) is giving me

   Variables  Coef
b0 Intercept -131.20404630
g0 t0.06146463
g1 max(t-tau1,0)   -0.51582466
g2 max(t-tau2,0)0.43429615

Joinpoints:
  
1 tau1= 1990.5
2 tau2= 1995.5

APC 1950-1990=exp(0.06)=1.06--6%
1990-1995=exp(0.06-0.51)=exp(-0.45)=0.63-- -37%
1995-2010=exp(0.06-0.51+0.43)---2%

3) Preferably a confidence interval for the APC should be given. However, this 
I havent figured out yet.

//M

__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.