could you help me explain about the

propensity score matching PSM method by your language not from the web cause its much easier to undertstand by non-stat ward.

couldy ou have it in a few paraghe

and the weakness sir

step by step about the propensity score matching

below is my own thinking could you help to improve it more specific

Although two sample mean test can support us in obtaining the result, confounding variables are not considered, and the findings may be erroneous or have bias. To address these flaws, propensity score matching is a superior option. Propensity score matching is a technique for decreasing selection bias and moving toward more causal estimates that was initially created in the early 1980s and has grown in popularity over the years. Because we have observational data and want to uncover a casual inference between diabetes and BMI, we employ propensity score matching in our investigation. Observational data, in contrast to experiment data, which determines if there is any causation, merely determines if there is any connection. The purpose of propensity score matching is to aid in the identification of treatment and control groups so that causal inferences may be drawn from observational data.