Category:Design of experiments

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Experimental design is the design of all information-gathering exercises where variation is present, whether under the full control of the experimenter or an observational study. The experimenter may be interested in the effect of some intervention or treatment on the subjects in the design.

• Experimental bias‎ (15 P)

• Latin squares‎ (2 C, 19 P)

• Sequential experiments‎ (8 P)

The following 158 pages are in this category, out of 158 total. This list may not reflect recent changes.

• Adaptive design (medicine)
• Adversarial collaboration
• Age adjustment
• All-pairs testing
• Allocation concealment
• Analysis of variance
• Animal perception of magic
• Antecedent variable
• Association scheme

• Bayesian experimental design
• Between-group design experiment
• Blinded experiment
• Block design
• Blocking (statistics)
• Bose–Mesner algebra
• Box–Behnken design
• Bruck–Ryser–Chowla theorem

• Case–control study
• Central composite design
• Challenge–dechallenge–rechallenge
• Choice set
• Civilization's Waiting Room
• Clinical study design
• Clinical trial
• Cluster-randomised controlled trial
• Code-break procedure
• Combinatorial design
• Combinatorics of Experimental Design
• Completely randomized design
• Computer experiment
• Confirmation bias
• Confounding
• Consecutive case series
• Consolidated Standards of Reporting Trials
• Controlling for a variable
• Cooperative pulling paradigm
• Crossover study

• Data collection
• Data dredging
• Data farming
• Dependent and independent variables
• Design effect
• Design matrix
• Design space exploration
• Design–Expert
• Designated Member Review
• Difference in differences
• Drug design

• Ecological study
• Experimental factor ontology
• Ethics committee
• Experiment
• Experimental benchmarking
• Experimental design diagram
• Exploratory thought

• Factorial experiment
• Field experiment
• Fisher information
• Fisher's inequality
• Fractional factorial design

• Generalized randomized block design
• Gittins index
• Glossary of experimental design
• Group testing

• Ignorability
• Institutional review board
• Interaction (statistics)
• Interrupted time series

• Jadad scale

• Lack-of-fit sum of squares
• Lady tasting tea
• Latin hypercube sampling
• Latin rectangle
• Latin square
• Limited dependent variable
• List of countries implementing pool testing strategy against COVID-19
• Longitudinal study

• Manipulation check
• Matching (statistics)
• Minimisation (clinical trials)
• Multi-attribute global inference of quality
• Multicollinearity
• Multifactor design of experiments software
• Multiple baseline design
• Multiple treatments
• Multivalued treatment
• Multivariate analysis of variance

• N of 1 trial
• National Research Ethics Service
• Nested case–control study
• Null hypothesis
• Null result
• Nuremberg Code

• Observational study
• Observer-expectancy effect
• One-factor-at-a-time method
• Open-label trial
• Optimal experimental design
• Orthogonal array
• Orthogonal array testing

• P-hacking
• Paradigm (experimental)
• Phases of clinical research
• Placebo-controlled study
• Plackett–Burman design
• Pocock boundary
• Protocol (science)
• Provocation test
• Pseudoreplication

• Quasi-experiment

• Random assignment
• Randomization
• Randomized controlled trial
• Randomized experiment
• Regression discontinuity design
• Repeated measures design
• Replication (statistics)
• Resentful demoralization
• Response surface methodology
• Restricted randomization
• Round-robin test
• Royal Commission on Animal Magnetism

• Sample ratio mismatch
• Saturated array
• Scheirer–Ray–Hare test
• Sealedenvelope.com
• Self-selection bias
• Sequential analysis
• Seriousness check
• Set balancing
• Single-subject design
• Single-subject research
• Solomon four-group design
• Sparsity-of-effects principle
• Spectrum bias
• Spherical design
• Spillover (experiment)
• Standard treatment
• Statistical hypothesis test
• Steiner system
• Stepped-wedge trial
• Stock sampling
• Subgroup analysis
• Surrogate model
• Synthetic control method

• Taguchi methods
• Theory-driven evaluation
• Treatment and control groups
• Type I and type II errors

• Up-and-down design

• Vaccine trial

• Wait list control group
• Weighing matrix
• Wike's law of low odd primes

• Yates analysis
• Yoked control design

• Zelen's design

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