MULTISTAGE SAMPLING STRATEGY FOR IMPROVED EFFICIENCY ESTIMATION IN OBSERVATIONAL STUDIES

Abstract

Important data in many fields of study often comes from observational studies. However, possible biases and sampling mistakes might make accurate assessment of demographic characteristics difficult in such investigations. To better estimate efficiency in observational investigations, this academic article introduces a cluster multistage sampling approach. Incorporating several sampling phases, the suggested method allows for the selection of varied and representative samples, which improves the precision and accuracy of parameter estimation.