APPLIED STATISTICS: A REVIEW
Published 26 November 2012
D. R. Cox
Citations41
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
The main phases of applied statistical work are discussed in general terms. The account starts with the clarification of objectives and proceeds through study design, measurement and analysis to interpretation. An attempt is made to extract some general notions. 1. Introduction. The
Keywords
Mathematics
Journal of Educational PsychologyEstimating causal effects of treatments in randomized and nonrandomized studies.
9,471 Citations1974Donald B. Rubin
Journal of the Royal Society of MedicineThe environment and disease: association or causation?
7,311 Citations2015Austin Bradford Hill
The objects of this newly founded Section of Occupational Medicine are to provide a means, not readily afforded elsewhere, whereby physicians and surgeons with a special knowledge of the relationship between sickness and injury and conditions of work may discuss their problems, not only with each other, but also with colleagues in other fields, by holding joint meetings with other Sections of the Society.
Proceedings of the Royal Society of MedicineThe Environment and Disease: Association or Causation?
6,888 Citations1965Austin Bradford Hill
This paper contrasts Bradford Hill’s approach with a currently fashionable framework for reasoning about statistical associations – the Common Task Framework – and suggests why following Bradford Hill, 50+ years on, is still extraordinarily reasonable.
Statistical ScienceStatistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
4,272 Citations2001Leo Breiman
If the goal as a field is to use data to solve problems, then the statistical community needs to move away from exclusive dependence on data models and adopt a more diverse set of tools.
Journal of the American Statistical AssociationScience and Statistics
2,283 Citations1976George E. P. Box
BiometricsMultivariate Dependencies: Models, Analysis and Interpretation.
492 Citations1998Susan A. Murphy, D. R. Cox +1 more
Statistical ScienceRole of Models in Statistical Analysis
179 Citations1990D. R. Cox
A number of distinct roles are identified for probability models used in the analysis of data and some general issues arising in the formulation of such models are discussed.
Statistical ScienceR. A. Fisher in the 21st century (Invited paper presented at the 1996 R. A. Fisher Lecture)
170 Citations1998Bradley Efron
Journal of the Operational Research SocietyProblem Solving: A Statistician's Guide.
141 Citations1996Stelios Kafandaris, Chris Chatfield
Statistical ScienceModel Specification: The Views of Fisher and Neyman, and Later Developments
130 Citations1990E. L. Lehmann
Applied Statistics - Principles and Examples
122 Citations2018D.R. Cox
International Statistical ReviewCausality: a Statistical View
113 Citations2004David R. Cox, Nanny Wermuth
Model Specification: The Views of Fisher and Neyman, and Later Developments
100 Citations2011E. L. Lehmann, E. L. Lehmann
R.A. Fisher in the 21st century
77 Citations1997Bradley Efron
Journal of the Royal Statistical Society Series C (Applied Statistics)Tests of Linearity, Multivariate Normality and the Adequacy of Linear Scores
70 Citations1994D. R. Cox, Nanny Wermuth
CERN Document Server (European Organization for Nuclear Research)Practical Strategies for Experimenting
44 Citations2000G. K. Robinson
University of North Texas Digital Library (University of North Texas)Statistical challenges for searches for new physics at the LHC
33 Citations2006Kyle Cranmer
