Experimental Design in the Life Sciences
Pablo Inchausti
Abstract
Abstract This chapter discusses the basic principles underlying experimental design: replication, randomization, and blocking. It differentiates experimental from survey designs, and discusses five of the most frequently used experimental designs in the life sciences: factorial, randomized blocks, repeated measures, crossover, split-plot, and nested designs. For each experimental design, it highlights the underlying assumptions, the application, and the structure of the data set. For each design, we show how to include the structure or restrictions in randomization imposed by experimental and survey designs as random (group-level) effects in mixed/hierarchical models.
Topics & Concepts
Restricted randomizationReplication (statistics)CrossoverDesign of experimentsComputer scienceRandomizationSplit plotSet (abstract data type)Blocking (statistics)Completely randomized designMathematicsStatisticsArtificial intelligenceRandomized controlled trialProgramming languageMedicineRandomized block designSurgeryComputer networkOrganic Food and AgricultureDiverse Educational Innovations Studies