Abstract
| Language | English |
|---|---|
| Pages | 1589-1597 |
| Journal | EYE |
| Volume | 23 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 19 Jul 2009 |
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The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences. / Goodall, E. A.; Moore, Johnny; Moore, Tara.
In: EYE, Vol. 23, No. 7, 19.07.2009, p. 1589-1597.Research output: Contribution to journal › Article
TY - JOUR
T1 - The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences
AU - Goodall, E. A.
AU - Moore, Johnny
AU - Moore, Tara
PY - 2009/7/19
Y1 - 2009/7/19
N2 - Purpose The aim of this paper is to provide an overview of sample size estimations for the most frequent type of group studies that result in continuous, binary and ordered categorical outcomes. Methods The theory behind power and sample size calculations is explained using the basic probability concepts that underpin the most frequently used statistical significance tests. Results Simple formulae and tables are presented for the estimation of sample sizes necessary for efficient and effective clinical and epidemiological trials. These may be used without recourse to sophisticated and complex computer software packages. Mathematical complexity is kept to a minimum. Examples and applications from the vision sciences are specifically highlighted. Conclusions The paper highlights, with practical examples, the concepts and computations necessary to make sample size estimations accessible to all eye professionals involved in research, diagnostic and statutory work. Eye (2009) 23, 1589-1597; doi:10.1038/eye.2009.105;published online 15 May 2009
AB - Purpose The aim of this paper is to provide an overview of sample size estimations for the most frequent type of group studies that result in continuous, binary and ordered categorical outcomes. Methods The theory behind power and sample size calculations is explained using the basic probability concepts that underpin the most frequently used statistical significance tests. Results Simple formulae and tables are presented for the estimation of sample sizes necessary for efficient and effective clinical and epidemiological trials. These may be used without recourse to sophisticated and complex computer software packages. Mathematical complexity is kept to a minimum. Examples and applications from the vision sciences are specifically highlighted. Conclusions The paper highlights, with practical examples, the concepts and computations necessary to make sample size estimations accessible to all eye professionals involved in research, diagnostic and statutory work. Eye (2009) 23, 1589-1597; doi:10.1038/eye.2009.105;published online 15 May 2009
U2 - 10.1038/eye.2009.105
DO - 10.1038/eye.2009.105
M3 - Article
VL - 23
SP - 1589
EP - 1597
JO - EYE
T2 - EYE
JF - EYE
SN - 0950-222X
IS - 7
ER -