Volume : VI, Issue : IX, September - 2017

Sample Size Estimation for Clinical Research Studies using Mean and Proportion.

Prabhaker Mishra, Chandra M Pandey, Uttam Singh, Vishal Sharma, Sachin Singh Yadav, Ranjana Kar

Abstract :

 Introduction One of the most common questions that a researcher should ask when planning a study is “How large a sample size do I need. One of the fundamental phases of planning a study is the calculation of the sample size [1]. It is logically neither practical nor feasible to study the entire population in any study. Hence, a set of participants is selected from the population, which is less in number (size) but adequately represents the population from which it is drawn so that true inferences about the population can be made from the results attained from its sample [2]. This set of individuals is known as the “sample. If the sample size is too small, even a well–conducted study may fail to answer its research question, may fail to detect important effects or associations, or may estimate those effects or associations too inaccurately [3]. Similarly, if the sample size is too large, the study will be more difficult and costly, and may even lead to a loss in accuracy. Hence, optimum sample size is an essential component of any research. Careful consideration of sample size and power analysis during the planning and design stages of clinical research is crucial [3]. This article describes the principles and methods used to calculate the sample size for different objectives:

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Prabhaker Mishra, Chandra M Pandey, Uttam Singh, Vishal Sharma, Sachin Singh Yadav, Ranjana Kar, Sample Size Estimation for Clinical Research Studies using Mean and Proportion., INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-6 | Issue-9 | September-2017

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