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Issues in Data Analysis

In: Fundamentals of Clinical Trials

Author

Listed:
  • Lawrence M. Friedman
  • 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)

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.

Suggested Citation

  • Lawrence M. Friedman & Curt D. Furberg & David L. DeMets & David M. Reboussin & Christopher B. Granger, 2015. "Issues in Data Analysis," Springer Books, in: Fundamentals of Clinical Trials, edition 0, chapter 0, pages 403-462, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-18539-2_18
    DOI: 10.1007/978-3-319-18539-2_18
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