Premium
Monte Carlo Investigations for Relative Efficiency of Stratified Random Sampling Scheme for Estimation of Relative Risk in Case‐Control Studies
Author(s) -
Singh Padam,
Gupta T. C.
Publication year - 1993
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710350608
Subject(s) - monte carlo method , stratified sampling , simple random sample , statistics , sampling (signal processing) , efficiency , mathematics , rejection sampling , sample size determination , sampling design , slice sampling , monte carlo integration , importance sampling , hybrid monte carlo , markov chain monte carlo , computer science , medicine , population , environmental health , filter (signal processing) , estimator , computer vision
Monte Carlo Investigations have been widely used in Sample Surveys in Comparing the efficiency of various methods when exact mathematical comparisons are not possible. In this paper the same has been used for comparing the efficiency of Stratified Random Sampling with respect to Simple Random Sampling for estimation of Relative Risk in Case‐Control Studies. The data used relate to a Case Control study on peptic ulcer. On the basis of Monte Carlo Investigations on 50 samples of size 10–20 (Cases and Controls), it has been observed that there is considerable gain in efficiency in using Stratified Random Sampling over Simple Random Sampling. The sensitivity of the results with the change in Sample Size has also been investigated.