I am currently working on a review piece that seeks to examine what are some of the gaps in big data approaches (e.g., data extraction, data systems, analysis) when applied to research in public health disparities. I would appreciate if you could share me your thoughts or articles!
Big Data makes use of many data but, I understand that it does not make use of statistical inference results achieved in centuries. I suggest you my book: Ruiz Espejo, Mariano (2017). Ciencia del Muestreo. Madrid: Bubok. [Transl: Sampling Science].
https://www.bubok.es/libros/251372/CIENCIA-DEL-MUESTREO
Dear Mariano, thank you for the recommendation. Do you have some excerpts of your book in english?
Dear Edmund,
My book is in Spanish language, it is not translated to other languages. Cochran book "Sampling Techniques" could be of initiative helping to you but my book treates objective methods overall and is very much cheaper. Thank you.
Matthew Kerry, I am not too familiar with substantive methods, do you have materials that could point me in the right direction? Thank you!
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