Re: Question about analysis of longitudinal data

Posted by Christopher Stride on Oct 24, 2016; 5:52pm
URL: http://spssx-discussion.165.s1.nabble.com/Question-about-analysis-of-longitudinal-data-tp5733371p5733375.html

Your hospital IDs are your higher level grouping variable. Hospital type (e.g. growing vs stable) could be modelled using this as dichotomous hospital-level predictor

e.g.

MIXED ADMISSIONS BY TYPE WITH TIMEPOINT
 /FIXED = TIMEPOINT TYPE
 /RANDOM = INTERCEPT | SUBJECT(HOSPID)
 /REPEATED = TIMEPOINT | SUBJECT(HOSPID) COVTYPE(AR1)
 /PRINT SOLUTION TESTCOV.

is an example of the sort of syntax you need... but you need to go away read about MLM, longitudinal MLM, issues around variance partitioning, centering, the sequence of models to run, modelling autocorrelation patterns (that's what the /repeated command does here), etc, etc

On 24/10/2016 18:39, Norberto Hernandez wrote:

Thank you very much Chris, but I am not sure if MLM could be used. I "knew" that MLM relies in the a priori specification of the different groups, and in my case the hospitals with "growing admission" and "stable admissions" are not specified. Am I correct?? Or I need to classify hospitals in "growing admission" and "stable admissions" before MLM analisys.

Thanks a lot

2016-10-24 12:01 GMT-05:00 Chris Stride <[hidden email]>:

Longitudinal MLM would be the most appropriate choice, observations (timepts) nested within cities. Will give equivalent results to LGM at most basic level.

---

From: [hidden email]
Sent: ‎24/‎10/‎2016 17:37
To: [hidden email]
Subject: Question about analysis of longitudinal data

Hello everybody!! I'm asking for your kind advice because I have a consolidated weekly data of hospital admissions for the las 2 years (104 observation points) of 32 cities. I'm looking to estimate the mean growth of hospital admissions over this period, but a visual inspection of the data suggest that some cities shows a growth in hospital admission but others has stable records over time (admissions did not vary over time)

My first idea was use LGM, but i have no access to Mplus or Lisrel (I have no licence of this packages), so I want tos ask you suggest me any idea for analyse this set.

Any help or reference will be gratefully received.

Kind Regards

Norberto

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