SAMPLING TECHNIQUES IN BIOSTATISTICS

Описание: Sampling techniques in Biostatistics refer to the methods used to select a representative subset of individuals or observations from a large population so that reliable conclusions can be drawn about the whole population. Proper sampling helps reduce cost, time, and effort while maintaining accuracy in statistical analysis. Sampling methods are broadly classified into probability sampling (such as simple random sampling, systematic sampling, stratified sampling, and cluster sampling) where every unit in the population has a known chance of being selected, and non-probability sampling (such as convenience sampling, purposive sampling, and quota sampling) where selection is based on researcher judgment or accessibility. In biological and medical research, sampling techniques are essential for studying disease prevalence, evaluating treatments, and analyzing population characteristics without examining every individual in the population.