BJ Data Tech Solution

Specialized on Data processing, Data management Implementation plan, Data Collection tools - electronic and paper base, Data cleaning specifications, Data extraction, Data transformation, Data load, Analytical Datasets, and Data analysis. BJ Data Tech Solutions teaches on design and developing Electronic Data Collection Tools using CSPro, and STATA commands for data manipulation. Setting up Data Management systems using modern data technologies such as Relational Databases, C#, PHP and Android.

Ranking the most important predictor variables from a series of regression models.
Ranking the most important predictor variables from a series of regression models.

Hi,

I came across an interesting study that did the following:

'number of births in the last 5 years and the number of household members were the “most important” features for predicting whether a mother reported the death of a neonate. Out of the 20 models (10 countries and 2 DHS surveys per country) trained to predict neonatal mortality, the number of births in the last 5 years ranked first in all models except Burkina Faso 2003, Tanzania 2015, and Zambia 2007, where the feature ranked second.'

I am wondering whether this is possible to do using Stata.

Please let me know if you are aware of any process similar to this.

Thank you.

BJ Data Tech Solution

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Ranking the most important predictor variables from a series of regression models.

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Home / Data Cleaning / Data management / Data Processing / Ranking the most important predictor variables from a series of regression models. Ranking the most important predictor variables from a series of regression models.

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