
Some basic aspects of statistical methods and sample size determination in health science research
Author(s) -
V S Binu,
Shreemathi S Mayya,
Murali Dhar
Publication year - 2014
Publication title -
ayu
Language(s) - English
Resource type - Journals
eISSN - 0976-9382
pISSN - 0974-8520
DOI - 10.4103/0974-8520.146202
Subject(s) - sample size determination , sample (material) , data science , health science , computer science , management science , psychology , statistics , mathematics , medicine , medical education , chromatography , chemistry , engineering
A health science researcher may sometimes wonder "why statistical methods are so important in research?" Simple answer is that, statistical methods are used throughout a study that includes planning, designing, collecting data, analyzing and drawing meaningful interpretation and report the findings. Hence, it is important that a researcher knows the concepts of at least basic statistical methods used at various stages of a research study. This helps the researcher in the conduct of an appropriately well-designed study leading to valid and reliable results that can be generalized to the population. A well-designed study possesses fewer biases, which intern gives precise, valid and reliable results. There are many statistical methods and tests that are used at various stages of a research. In this communication, we discuss the overall importance of statistical considerations in medical research with the main emphasis on estimating minimum sample size for different study objectives.