Statistical Inference for Matched Pairs or Paired Replicates Data

  • Douglas A. Wolfe
  • Grant Schneider
Part of the Springer Texts in Statistics book series (STS)


In many experimental situations it is of interest to assess how a set of circumstances or a treatment affects a population of subjects. In such studies it is important that we take care to control as much as possible for any additional circumstances or characteristics other than those under investigation that might also affect the outcome of the measurements to be collected. For example, gender and age would be important factors to take into account when evaluating the effect of a medication to treat high blood pressure. Similarly, environmental living conditions would be an important factor to consider when comparing subjects with a respiratory disease. Two commonly used approaches to facilitate experimental control of possible confounding factors are provided by the experimental research designs known as matched pairs and paired replicates.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Douglas A. Wolfe
    • 1
  • Grant Schneider
    • 2
  1. 1.Department of StatisticsThe Ohio State UniversityColumbusUSA
  2. 2.Upstart NetworkSan CarlosUSA

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