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Randomized group up and down experiments
Annals of the Institute of Statistical Mathematics, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BALDI ANTOGNINI, ALESSANDRO +2 more
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Special Topics: Randomized Experiments
2013Many of the descriptive and inferential statistical approaches we have examined in this text are appropriate for analyzing randomized experiments. For example, in Chapter 11 we used the two-sample test of proportions to analyze data from the Maricopa County Drug Testing Experiment.
David Weisburd, Chester Britt
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Alternatives to Randomized Experiments
Current Directions in Psychological Science, 2009Randomized experiments are preferred for making inferences about causality when they can be implemented and their assumptions are met. Yet assumptions can fail (e.g., attrition, treatment noncompliance) or randomization may be unethical or infeasible.
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Randomization in Online Experiments
Jahrbücher für Nationalökonomie und Statistik, 2018Abstract Most scientists consider randomized experiments to be the best method available to establish causality. On the Internet, during the past twenty-five years, randomized experiments have become common, often referred to as A/B testing. For practical reasons, much A/B testing does not use pseudo-random number generators to implement
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The Controlled Randomized Experiment
1997In Chapter 1 we explained why the randomized controlled experiment is the most convincing way of exploring some of the cause-andeffect relationships that are disputed in the courts. In addition, we intimated that contemplating such an experiment enables us to see more clearly the weaknesses in observational data that do not come from a controlled ...
Hans Zeisel, David Kaye
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Randomization in the Design of Experiments
International Statistical Review, 2009SummaryA general review is given of the role of randomization in experimental design. Three objectives are distinguished, the avoidance of bias, the establishment of a secure base for the estimation of error in traditional designs, and the provision of formally exact tests of significance and confidence limits.
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