| District-Level WaSH Indicators [message #28738] |
Fri, 01 March 2024 08:45  |
Mikaela22
Messages: 1
Registered: March 2024
|
Member |
|
|
Hello!
Project: I am combining DHS WaSH indicators from the 2011 Mozambique DHS with data from a cluster-randomised trial in Mozambique assessing the performance of various treatment strategies on Schistosomiasis prevalence. I am attempting to model individual-level infection status after 5-years of mass-drug administration to see if there is any effect modification of the treatment strategy (villages were randomised to different treatment strategies) by different WaSH indicators at the district-level, specifically using an improved water / sanitation source.
I will be using multi-level logistic regression to capture the clustering of the data i.e., (1) individuals in (2) villages (the treatment-level) in (3) districts.
The cluster-randomised trial was conducted in one province in Mozambique, so I am only working with 8 districts and attempting to calculate a district-level indicator e.g., percentage of households in that district using an improved water source. I have used GPS data to locate the clusters in corresponding districts and have followed the suggested methodology (the complex sample design weighting) to generate estimates. However, as has been extensively discussed previously, the SEs are too large to be usable.
I propose the following methodology to resolve this and would appreciate some input:
- Use a bootstrap (I saw a link to a wild bootstrap mentioned in a previous post?) to calculate more precise standard errors - how would I go about using the sampling weights here?
- Use weights within the multi-level logistic regression model to account for the uncertainty around the district-level estimates.
I understand that using DHS data in this way to generate district-level indicators is not ideal, however, this project is more for hypothesis generation and identifying areas for future research.
Do you have any comments on what I have proposed, or is there anything else I should be thinking about in terms of using this data and conducting this analysis in the best way?
I appreciate any feedback!
Kind regards!
|
|
|
|
The DHS Program User Forum
Members
Search
Help
Register
Login
Home
