The Design of Experiments

By J. I.. 1936

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Citations in the corpus

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (2013, methodology): “6 We use Fisher’s Randomization Test (Fisher, 1935; Smucker, Allan, & Carterette, 2007) to assess the statistical significance of the difference between models.”
Deconfounding Reinforcement Learning in Observational Settings (2018, methodology): “The do-operator can be executed in two common ways: by Randomized Controlled Trials (RCTs) (Fisher, 1935) and by adjustment formulas (i.e., Back-door criterion and Front-door criterion) (Pearl, 2009).”
The hardness of conditional independence testing and the generalised covariance measure (2018, background): “Conditional independences lie at the heart of several fundamental concepts such as sufficiency [21] and ancillarity [22, 23]; see also Jensen and Sørensen [28].”
The Econometrics of Randomized Experiments (2016, methodology): “First, we study the calculation of exact p-values for sharp hypotheses, based on the work by Fisher (1925, 1935).”
The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “Some researchers have raised concerns with the regression approach in small samples (Freedman [2006, 2008], Young [2015], Athey and Imbens [2016], Imbens and Rubin [2015]), but generally such analyses are justified at least in large samples, even in settings with many covariates (Bloniarz et al.”
Automated Experiments on Ad Privacy Settings (2014, methodology): “To establish causation, we start with the approach of Fisher (our tool’s namesake) to randomized hypothesis testing [12] as specialized by Tschantz et al. for the setting of online systems [3].”
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing (2018, methodology): “Paired Student’s t-test This test assesses whether the population means of two sets of measurements differ from each other, and is based on the assumption that both samples come from a normal distribution (Fisher, 1937).”
Field Experiments in Economics: the Past, the Present, and the Future (2008, unknown): “…Fisher's insights are exemplified by this passage concerning what constituted a valid randomization scheme for a completely randomized block design (Fisher, 1935, p. 26): The validity of our estimate of error for this purpose is guaranteed by the provision that any two plots, not in the same…”
Mendelian randomization as an instrumental variable approach to causal inference (2007, unknown): “By randomly allocating levels of “treatment” to “experimental units”, the randomised experiment of Fisher (1926) renders two of the three elemental causal explanations for an observed association between a treatment and a response — reverse causation and confounding — highly unlikely.”
A comparison of statistical significance tests for information retrieval evaluation (2007, background): “2.1 Randomization Test For Fisher s randomization test [1, 4, 8, 9], our null hypothesis is that system A and system B are identical and thus system A has no e.ect compared to system B on the mean average precision for the given topics, corpora, and relevance judgments.”
Decision Theoretic Approaches to Experiment Design and External Validity (2016, unknown): “Fisher (1926) was the first to provide a detailed program for randomization, which he expanded into his classic text on experimental design (Fisher, 1935).”
Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects (2021, background): “As in classical randomization tests (Fisher, 1935), design-based inference takes care of these complications by conditioning on the sample and considering only the variation in the test statistic that is induced by the assignment mechanism (see, e.”
A History of Effect Size Indices (2002, background): “It is interesting that the many editions of the two Fisher (1925, 1935) books (Statistical Methods for Research Workers and The Design of Experiments) did not make the connection.”
Does knowledge diffusion between university and industry increase innovativeness? (2008, background): “Seemingly contradictory, “financial constraints” as an obstacle to innovation is found to be positively associated with university collaboration.”
A paradox from randomization-based causal inference (2014, methodology): “On the other hand, Fisher (1935a) focused on testing the sharp null hypothesis of zero individual causal effect, and proposed the Fisher Randomization Test (FRT).”
Performance Trajectories and Performance Gaps as Achievement Effect-Size Benchmarks for Educational Interventions (2008, methodology): “This confusion reflects, in part, differences between the framework for statistical inference developed by Fisher (1949), which focuses on testing a specific null hypothesis of zero effect against a general alternative hypothesis of nonzero effect, versus the framework developed by Neyman and…”
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control (2023, methodology): “To reduce the variance of these experiment, we evaluate all of the methods using the A/B testing framework [80], where all four models are evaluated one after another in the exact same conditions.”
Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects (2008, background): “When drawing inferences about the results’ external validity, it is important to note that these children are not representative of the average American child; nevertheless, many of their attributes are not unusual for African-American youth in poor neighborhoods (Miller 1992).”