The DHS Program User Forum
Discussions regarding The DHS Program data and results
Home » Data » Weighting data » Interrupted time series analysis using DHS data and applying sample weights
Interrupted time series analysis using DHS data and applying sample weights [message #11780] Wed, 08 February 2017 09:47 Go to previous message
mm23 is currently offline  mm23
Messages: 1
Registered: February 2017
Member
I am currently using the Zambia DHS to do an interrupted time series analysis of a policy that was implemented in Zambia between 1996 and 2006. Am mainly interested in 3 indicators
1. proportion of facility deliveries
2. proportion of children fully immunized
3. proportion of women receiving antenatal services

I am using all the data from all the five rounds of DHS in Zambia

The general method I used to calculate the proportion (using the example of proportion of facility deliveries) is:

total number of children born in a health facility in the last five years preceding the survey /total number of children born in the last five years preceding the survey

I aggregated the births by quarter and used the .itsa command in stata to run the analysis. However, when I presented these finding, I was told that I should have applied the sampling weights.
I have been searching online on how I can apply the weights in an ITSA, but I have not found any information.

Looking at what am trying to do, is it necessary for me to apply the weights? And if I do need to apply the weights, how am I supposed to do it in light of the analysis am trying to run?
 
Read Message
Read Message
Previous Topic: Do I really need to Weight the DHS data
Next Topic: Using region as a predictor in a regression analysis different from sample strata
Goto Forum:
  


Current Time: Fri Apr 19 00:38:07 Coordinated Universal Time 2024