© 2014 Springer Science+Business Media New York About this entry Cite this entry Elashoff, J.D., Lemeshow, S. (2014). Sample Size Determination in Epidemiological Studies. In: Ahrens, W., Pigeot, I. (eds) Handbook of Epidemiology. Springer, New York, NY. https://doi.org/10.1007/97...
sample sizepowersimulationp/ pWe consider 3 basic steps in a study, which have relevance for the statistical analysis. They are: study design, data quality, and statistical analysis. While statistical analysis is often considered an important issue in the literature and the choice of statistical ...
Title Power and sample size calculation for survival analysis of epidemiological studies April 19, 2009 Version 0.0.5 Date 2009-03-31 Title Power and sample size calculation for survival analysis of epidemiological studies Author Weiliang Qiu <... W Qiu,J Chavarro 被引量: 0发表: 2009年 The us...
When we find multiple suitable prevalence from the literature, for example ranging from 15 to 30%, we should use the prevalence giving the highest sample size (in this case, 30%) in accordance with Fig.1that shows 30% will require the largest sample size in that range of 15 to 30% pre...
We propose a double sampling scheme with two classifiers to address the problem of optimal sample size when misclassification among binomial observations is observed. The classifiers vary with respect to the classifying cost and precision. Furthermore, since the data are unknown, an additional constrain...
Traditionally, competing healthcare interventions have been compared on their efficacy or effectiveness through clinical trials or epidemiological studies. Computation of sample size and/or statistical power for a proposed study to assess the relative effectiveness of two treatments is central to planning ...
Power and sample size determination for the group comparison of patient-reported outcomes using the Rasch model: impact of a misspecification of the parame... Patient-reported outcomes (PRO) are important as endpoints in clinical trials and epidemiological studies. Guidelines for the development of PR...
A priori sample size determination is important to obtain adequately powered studies to determine clinically important changes in PRO. In previous developments, the Raschpower method has been proposed for the determination of the power of the test of group effect for the comparison of PRO in cross...
Full size image No evidence of an inverse association between genetically liability to RA and female-specific cancer risk was found in either the individual studies or the meta-analysis that included both studies (i.e. Okada et al. and FinnGen) [Fig. 3]. Fig. 3 Estimates for the causal ...
A small sample yields inaccurate findings, conversely a large sample is an unnecessary mobilization of extra resources, therefore, determining optimum sample size is a crucial exercise in research studies. Moreover, in large sample even small effect may