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st: How to model data with cross-sectional dependent variable but panel explanatory variables


From   Chao Wang <chao.wang@obs-gyn.ox.ac.uk>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: How to model data with cross-sectional dependent variable but panel explanatory variables
Date   Thu, 11 Oct 2012 15:11:08 +0000

Hi all

I am wondering if anyone can advise which model to use for modelling data with cross-sectional dependent variable but longitudinal/panel explanatory variables? I am doing study on fetal heart rate analysis, and I would like to model the effect of patients' heart rate patterns during labour such as the number of decelerations (measured at 15min interval, so longitudinal/panel) on fetal health (measured by the arterial pH value at birth, so cross-sectional). Traditional panel data models seem require the dependent and explanatory variables to be in the same form (i.e. both panel). However in my study the dependent variable (i.e. the labour outcome for patient i) is only measured once. 

The ultimate goal is to predict (and prevent) the adverse labour outcome by monitoring the fetal heart rate patterns (in this sense it also seems to be a time-series analysis for a specific patient/operation, but again, the outcome is static so not consistent with the format of the predictors which are time-series).

Kind regards

Chao Wang

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