Statistical Design And Analysis For A Biological Effects Study
Explore this paper's citation graph
Summary
Statistical aspects of 'biological effects' field surveys are discussed, with particular reference to the GEEP Workshop, and statistical analysis is categorised into testing methods for establishing biological differences between field sites, and descriptive techniques for representation of those differences.
- Type
- article
- Published
- 1988-06-01
- Cited by
- 1,831
- References
- 18
- Access
- Open access
- OpenAlex
- https://openalex.org/W2056467812
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:44188920
Keywords
Univariate, Ordination, Sample size determination, Cluster analysis, Multivariate statistics
References
- Analysis of community attributes of the benthic meiofauna of Frierfjord/Langesundfjord
- Alterations In Cellular Structure Of Mytilus-Edulis Resulting From Exposure To Environmental Contaminants Under Field And Experimental Conditions
- Hierarchical clustering from principal coordinates: an efficient method for small to very large numbers of objects
- Ecological diversity
Cited by
- New Zealand Demersal Fish Assemblages
- SPATIAL AND TEMPORAL VARIATIONS IN THE TREMATODE COMPONENT COMMUNITY OF THE MUDSNAIL HYDROBIA VENTROSA IN RELATION TO THE OCCURRENCE OF WATERFOWL AS DEFINITIVE HOSTS
- Water quality and macroinvertebrate community response following pesticide applications in a banana plantation, Limon, Costa Rica.
- The Diverse Bacterial Community in Intertidal, Anaerobic Sediments at Sapelo Island, Georgia
- Spatio-temporal distribution of soft-bottom epibenthic fauna on the Cilician shelf (Turkey), Mediterranean Sea.
- Degraded Water Quality Influences Microbial Community Composition and Perception of Health Risks in the Chattooga River
- Toxicity of ciprofloxacin and sulfamethoxazole to marine periphytic algae and bacteria.
- Macrobenthic Spatial Patterns and Community Structure on the Broward County, Florida (USA) Reefs.
- Meiofauna and nematode diversity in some Mediterranean subtidal areas of the Adriatic and Ionian Sea
- Periphyton as a Habitat for Meiofauna : a case of a neglected community
- The effect of high and low dietary fiber diets on the performance of two lines of chickens with divergent growth rates
- Freshwater algae from lakes in the lower Niger Delta system (Nigeria)
- Relationships between fish faunas and habitat type in south-western Australian estuaries. Fisheries Research and Development Corporation Final Report, July 2009
- Estado de las poblaciones de Diadema antillarum (Echinoidea: Diadematidae) y del recubrimiento de macroalgas en las Reservas Marinas de Canarias: patrones de distribución espacial
- Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa
- Biodiversity and distribution of the deep-sea fauna in the Sea of Japan and in the Kuril-Kamchatka Trench area with focus on Isopoda as a model organism
- Disturbance and resilience in riparian woodlands on the highly modified Upper Condamine floodplain
- Voltinism and Laboratory Rearing of Microvelia Hinei (Heteroptera: Gerromorpha: Veliidae)
- Degradation of Reef Structure, Coral and Fish Communities in the Red Sea by Ship Groundings and Dynamite Fisheries
- Impacts of tree harvesting on the carbon balance and functioning in mangrove forests
Related papers
- A Fast Method for Estimating Statistical Power of Multivariate GWAS in Real Case Scenarios: Examples from the Field of Imaging Genetics
- ERRORS IN HYPOTHESIS TESTING: AN OVERVIEW
- Statistical power in testing a hypothesis.
- Statistical tools for evaluating the adequacy of the size of a sample on which statistical evidence is based
- Making Sense of Methods and Measurement: Statistical Power
- Statistical Power Lost and Statistical Power Regained: The Bonferroni Procedure in Exploratory Research
- Optimal experiment design for hypothesis testing applied to functional magnetic resonance imaging
- The power of statistical tests in meta-analysis.
- Guidelines for Multiple Testing in Impact Evaluations of Educational Interventions. Princeton, NJ: Mathematica Policy Research