Issues in Data Analysis

Lawrence M. Friedman, Curt D. Furberg, David L. DeMets, David M. Reboussin and Christopher B. Granger
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Curt D. Furberg: Wake Forest School of Medicine, Division of Public Health Sciences
David L. DeMets: University of Wisconsin, Department Biostatistics and Medical Informatics
David M. Reboussin: Wake Forest School of Medicine, Department of Biostatistics
Christopher B. Granger: Duke University, Department of Medicine

Chapter Chapter 18 in Fundamentals of Clinical Trials, 2015, pp 403-462 from Springer

Abstract: Abstract The analysis of data obtained from a clinical trial represents the outcome of the planning and implementation already described. Primary and secondary questions addressed by the clinical trial can be tested and new hypotheses generated. Data analysis is sometimes viewed as simple and straightforward, requiring little time, effort, or expense. However, careful analysis usually requires a major investment in all three. It must be done with as much care and concern as any of the design or data-gathering aspects. Furthermore, inappropriate statistical analyses can introduce bias, result in misleading conclusions and impair the credibility of the trial.

Date: 2015
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DOI: 10.1007/978-3-319-18539-2_18

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