This series aims to make statistics and research design more accessible to investigators and students. Each volume offers guidance on how design and theoretical issues affect implementation and interpretation, common errors to avoid, and how to interpret the output from computer program packages.Provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. Topics covered include research design, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series.