Some Problems Connected with Statistical Inference
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The problem of forking paths may be avoided altogether if researchers and their readers condition reported p values on the analytical path that is actually followed in that particular sample rather than on the two potential paths that might be followed in hypothetical replications.
“the problem of forking paths may be avoided altogether if researchers and their readers condition reported p values on the analytical path that is actually followed in that particular sample rather than on the two potential paths that might be followed in hypothetical replications”
From Does preregistration improve the credibility of research findings? (2020) · cites this paper as Cox, 1958, p. 359-361
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Still being checked.
Research works printed but not linked: 15
- [1][1] F. J. AnscomBE, "Contribution to the discussion of a paper by F. N. David and N. L. Johnson" J.R. Stat. Soc., B, Vol. 18, (1956), pp. 24–27. -
- [2][2] F. J. AnscomBE, "Dependence of the fiducial argument on the sampling rule", Biometrika, Vol. 44 (1957), pp. 464–469. -
- [3][3] R. R. BAHADUR AND L. J. SAvAGE, "The non-existence of certain statistical procedures in non-parametric problems", Ann. Math. Stat., Vol. 27 (1956), pp. 1115-1122. -
- [4][4] G. A. BArNArD, "The meaning of a significance level", Biometrika, Vol. 34 (1947), pp. 179-182. -
- [5][5] G. A. BARNArD, "Statistical inference", J.R. Stat. Soc., Suppl., Vol. 11 (1949), pp. 115-139. -
- [6][6] M. S. BARTLETT, "A note on the interpretation of quasi-sufficiency", Biometrika, Vol. 31 (1939), pp. 391–392. -
- [7][7] M. S. BArTLETT, "Comment on Sir Ronald Fisher's paper", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 295–296. -
- [8][8] H. CHERNoFF, "A property of some type of A regions", Ann. Math. Stat., Vol. 22 (1951), pp. 472–474. -
- [9][9] M. A. CREAsy, "Limits for the ratio of means", J.R. Stat. Soc., B, Vol. 16 (1954), pp. 186-194. -
- [10][10] R. A. FisHER, "The logic of inductive inference", J.R. Stat. Soc., Vol. 98 (1935), pp. 39-54. -
- [11][11] R. A. FisHER, 'Statistical methods and scientific induction", J.R. Stat. Soc., B, Vol. 17 (1955), 69–78. -
- [12][12] R. A. FisíER, "On a test of significance in Pearson's Biometrika Table No. 11", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 56–60. -
- [14][14] W. HoEFFDING, '"The role of assumptions in statistical decisions", Proc. 3rd Berkeley Symp., Vol. 1 (1955), pp. 105–114. -
- [15][15] S. KARLIN AND H. RuBIN, "Theory of decision procedures for distributions with monotone likelihood ratio", Ann. Math. Stat., Vol. 27 (1956), pp. 272–299. 16. y, a a , nn 1m. Stat. Assn. Vol. 50 (1955), pp. 946–967. -
- [17][17] H. JEFFREys, The theory of probability. Oxford, 2nd ed., 1946. - [19] D. V. LINDLEy, "A statistical paradox", Biometrika, Vol. 44 (1957), pp. 187-192. 19. I ss n n st mation, II, Sankhya, Vol. 15 (1955), pp. 219–236. - [20] J. G. MauLdoN, "Pivotal quantities for Wishart's and related distributions and a paradox in fiducial theory", J.R. Stat. Soc., B, Vol. 17 (1955), pp. 79–85. - [21] J. NEyMAN, "Note on an article by Sir Ronald Fisher", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 288–294. - [22] J. NErmAN, "Outline of a theory of statistical estimation based on the classical theory of probability", Phil. Trans. Roy. Soc., A, Vol. 236 (1937), pp. 333–380. - [24] E. S. PEArsoN, "Statistical concepts in their relation to reality", J.R. Stat. Soc. B, Vol. 17 (1955), pp. 204–207. - [23] A. R. G. OwEN, "Ancillary statistics and fiducial distributions", Sankhya, Vol. 9, (1948), pp. 1–18.. - [25] J. PRzYBorowsKI AND J. WILENsKI, "Homogeneity of results in testing samples from Poisson series", Biometrika, Vol. 31 (1939), pp. 313–323. - [26] C. STEIN, "A property of some tests of composite hypotheses", Ann. Math. Stat., Vol. 22 (1951), pp. 475–476. - [28] J. W. TukEy, "Some examples with fiducial relevance", Ann. Math. Stat., Vol. 28 (1957), pp. 687–695. - [27] J. W. TukEy, "Fiducial inference", unpublished lectures. - [29] B. L. WELcH, "On confidence limits and sufficiency with particular reference to parameters of location", Ann. Math. Stat., Vol. 10 (1939), pp. 58–69. - [30] B. L. WELcí, "Generalisation of Student's problem", Biometrika, Vol. 34 (1947), pp. 28-35. - [31] B. L. WELcH, "Note on some criticisms made by Sir Ronald Fisher", J.R. Stat. Soc., B, Vol. 18 (1956), pp. 297–302.
Cited by
Sorted by citations
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490 · see citing works
Null Hypothesis Testing: Problems, Prevalence, and an Alternative
Anderson, D. R., Burnham, K. P., & Thompson, W. L. (2000) · Journal of Wildlife Management · doi:10.2307/3803199 · Cited by 1,934 · see citing works
Tukey, J. W. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704711 · Cited by 1,934 · see citing works
Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications
Wagenmakers, E., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., et al. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1343-3 · Cited by 1,652 · see citing works
EFRON, B., & HINKLEY, D. V. (1978) · Biometrika · doi:10.1093/biomet/65.3.457 · Cited by 952 · see citing works
Principles of Statistical Inference
Cox, D. R. (2006) · doi:10.1017/cbo9780511813559 · Cited by 670 · see citing works
Self-citationAlgebraic algorithms for sampling from conditional distributions
Diaconis, P. W., & Sturmfels, B. (1998) · The Annals of Statistics · doi:10.1214/aos/1030563990 · Cited by 616 · see citing works
Model Robust Confidence Intervals Using Maximum Likelihood Estimators
Royall, R. M. (1986) · International Statistical Review · doi:10.2307/1403146 · Cited by 579 · see citing works
Consistency in Statistical Inference and Decision
Smith, C. A. B. (1961) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1961.tb00388.x · Cited by 560 · see citing works
On the Foundations of Statistical Inference
Birnbaum, A. (1962) · Journal of the American Statistical Association · doi:10.1080/01621459.1962.10480660 · Cited by 485 · see citing works
Confidence Regions in Non-Linear Estimation
Beale, E. M. L. (1960) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1960.tb00353.x · Cited by 479 · see citing works
Smoothing by Local Regression: Principles and Methods
Cleveland, W. S., & Loader, C. (1996) · Contributions to statistics · doi:10.1007/978-3-642-48425-4_2 · Cited by 460 · see citing works
Application of Likelihood Methods to Models Involving Large Numbers of Parameters
Kalbfleisch, J. D., & Sprott, D. A. (1970) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1970.tb00830.x · Cited by 414 · see citing works
Correlations Genuine and Spurious in Pearson and Yule
Aldrich, J. (1995) · Statistical Science · doi:10.1214/ss/1177009870 · Cited by 401 · see citing works
The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two?
Lehmann, E. L. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476404 · Cited by 384 · see citing works
Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
Mayo, D. G. (2018) · doi:10.1017/9781107286184 · Cited by 376 · see citing works
Could Fisher, Jeffreys and Neyman Have Agreed on Testing?
Berger, J. O. (2003) · Statistical Science · doi:10.1214/ss/1056397485 · Cited by 348 · see citing works
An Introduction to Bayesian Hypothesis Testing for Management Research
Andraszewicz, S., Scheibehenne, B., Rieskamp, J., Grasman, R. P. P. P., Verhagen, J., & Wagenmakers, E. (2014) · Journal of Management · doi:10.1177/0149206314560412 · Cited by 344 · see citing works
Remarks on Zeros and Ties in the Wilcoxon Signed Rank Procedures
Pratt, J. W. (1959) · Journal of the American Statistical Association · doi:10.1080/01621459.1959.10501526 · Cited by 339 · see citing works
On the Foundations of Statistical Inference
Birnbaum, A. (1992) · Springer series in statistics · doi:10.1007/978-1-4612-0919-5_32 · Cited by 326 · see citing works
Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian
Hurlbert, S. H., & Lombardi, C. M. (2009) · Annales Zoologici Fennici · doi:10.5735/086.046.0501 · Cited by 277 · see citing works
Marginalization Paradoxes in Bayesian and Structural Inference
Dawid, A. P., Stone, M., & Zidek, J. V. (1973) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1973.tb00952.x · Cited by 296 · see citing works
Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction
Mayo, D. G., & Spanos, A. (2006) · The British Journal for the Philosophy of Science · doi:10.1093/bjps/axl003 · Cited by 271 · see citing works
Gart, J. J. (1971) · Revue de l Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1402171 · Cited by 270 · see citing works
Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review
Xie, M., & Singh, K. (2013) · International Statistical Review · doi:10.1111/insr.12000 · Cited by 319 · see citing works
On the Elimination of Nuisance Parameters
Basu, D. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5825-9_26 · Cited by 222 · see citing works
The appropriate use of null hypothesis testing.
Frick, R. W. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.4.379 · Cited by 222 · see citing works
The Fisher, Neyman-Peerson Theories of Testing Hypotheses: One Theory or Two?
Lehmann, E. L. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1412-4_19 · Cited by 220 · see citing works
Bayesian Versus Frequentist Inference
Wagenmakers, E., Lee, M. D., Lodewyckx, T., & Iverson, G. (2008) · Springer eBooks · doi:10.1007/978-0-387-09612-4_9 · Cited by 212 · see citing works
Likelihood Inference and Time Series
Barnard, G. A., Jenkins, G. M., & Winsten, C. B. (1962) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2982406 · Cited by 206 · see citing works
Invited Commentary: The Need for Cognitive Science in Methodology
Greenland, S. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx259 · Cited by 163 · see citing works
Sequential Trials, Sequential Analysis and the Likelihood Principle
Cornfield, J. (1966) · The American Statistician · doi:10.1080/00031305.1966.10479786 · Cited by 204 · see citing works
Estimating the Size of a Multinomial Population
Sanathanan, L. (1972) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177692709 · Cited by 203 · see citing works
Savage, L. J. (1976) · The Annals of Statistics · doi:10.1214/aos/1176343456 · Cited by 202 · see citing works
Conditional Likelihood and Unconditional Optimum Estimating Equations
Godambe, V. P. (1976) · Biometrika · doi:10.1093/biomet/63.2.277 · Cited by 197 · see citing works
On the Foundations of Statistical Inference: Discussion
Savage, L. J., Barnard, G., Cornfield, J., Bross, I., Box, G. E. P., Good, I. J., Lindley, D. V., Clunies-Ross, C. W., Pratt, J. W., Levene, H., et al. (1962) · Journal of the American Statistical Association · doi:10.2307/2281641 · Cited by 185 · see citing works
Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity
Ferman, B., & Pinto, C. (2019) · The Review of Economics and Statistics · doi:10.1162/rest_a_00759 · Cited by 178 · see citing works
An Exact Test for Comparing Matched Proportions in Crossover Designs
Gart, J. J. (1969) · Biometrika · doi:10.1093/biomet/56.1.75 · Cited by 179 · see citing works
The Roles of Conditioning in Inference
Reid, N. M. (1995) · Statistical Science · doi:10.1214/ss/1177010027 · Cited by 176 · see citing works
The Practical Alternative to the p Value Is the Correctly Used p Value
Lakens, D. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620958012 · Cited by 181 · see citing works
On the Elimination of Nuisance Parameters
Basu, D. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10481002 · Cited by 175 · see citing works
The Bayesian Outlook and Its Application
Cornfield, J. (1969) · Biometrics · doi:10.2307/2528565 · Cited by 173 · see citing works
Lin, H., McCulloch, C. E., Turnbull, B. W., Slate, E. H., & Clark, L. C. (2000) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(20000530)19:10 · Cited by 87 · see citing works
A PAC analysis of a Bayesian estimator
Shawe-Taylor, J. S., & Williamson, R. C. (1997) · Conference on Learning Theory · doi:10.1145/267460.267466 · Cited by 168 · see citing works
Where Medical Statistics Meets Artificial Intelligence
Hunter, D. J., & Holmes, C. (2023) · New England Journal of Medicine · doi:10.1056/nejmra2212850 · Cited by 165 · see citing works
Statistical inference as severe testing how to get beyond the statistics wars
Mayo, D. G. (2018) · Cited by 152 · see citing works
Statistics in medical journals: some recent trends
Altman, D. G. (2000) · Statistics in Medicine · doi:10.1002/1097-0258(20001215)19:23 · Cited by 252 · see citing works
Patient subsets and variation in therapeutic efficacy.
Simon, R. M. (1982) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.1982.tb02015.x · Cited by 130 · see citing works
Objective Single-Case Probabilities and the Foundations of Statistics
Giere, R. N. (1973) · Studies in logic and the foundations of mathematics · doi:10.1016/s0049-237x(09)70380-5 · Cited by 128 · see citing works
Frequentist statistics as a theory of inductive inference
Mayo, D. G., & Cox, D. (2006) · Institute of Mathematical Statistics eBooks · doi:10.1214/074921706000000400 · Cited by 123 · see citing works
Self-citationIn dispraise of the exact test
Berkson, J. (1978) · Journal of Statistical Planning and Inference · doi:10.1016/0378-3758(78)90019-8 · Cited by 122 · see citing works
Conditional Confidence Statements and Confidence Estimators
Kiefer, J. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10479956 · Cited by 121 · see citing works
The 1988 Wald Memorial Lectures: The Present Position in Bayesian Statistics
Lindley, D. V. (1990) · Statistical Science · doi:10.1214/ss/1177012253 · Cited by 119 · see citing works
Testing by Betting: A Strategy for Statistical and Scientific Communication
Shafer, G. R. (2021) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12647 · Cited by 117 · see citing works
Confidence Interval Estimation for the Weibull and Extreme Value Distributions
Lawless, J. F. (1978) · Technometrics · doi:10.1080/00401706.1978.10489687 · Cited by 116 · see citing works
Sample size and its role in Central Limit Theorem (CLT)
Islam, M. R. (2018) · doi:10.31295/ijpm.v1n1.42 · Cited by 115 · see citing works
Birnbaum, A. (1977) · Synthese · doi:10.1007/bf00485690 · Cited by 104 · see citing works
Fraser, D. A. S. (1961) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704962 · Cited by 101 · see citing works
Local Versus Global Models for Classification Problems
Hand, D. J., & Vinciotti, V. (2003) · The American Statistician · doi:10.1198/0003130031423 · Cited by 100 · see citing works
On Resolving the Controversy in Statistical Inference
Wilkinson, G. N. (1977) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1977.tb01613.x · Cited by 100 · see citing works
Open statistical issues in Particle Physics
Lyons, L. (2008) · The Annals of Applied Statistics · doi:10.1214/08-aoas163 · Cited by 99 · see citing works
Causal Inference in Urban and Regional Economics
Baum-Snow, N. B., & Ferreira, F. V. (2015) · Handbook of regional and urban economics · doi:10.1016/b978-0-444-59517-1.00001-5 · Cited by 98 · see citing works
Is Bayes Posterior just Quick and Dirty Confidence?
Fraser, D. A. S. (2011) · Statistical Science · doi:10.1214/11-sts352 · Cited by 129 · see citing works
Liu, D., Liu, R. Y., & Xie, M. (2014) · Journal of the American Statistical Association · doi:10.1080/01621459.2014.899235 · Cited by 94 · see citing works
Error Statistics and Learning From Error: Making a Virtue of Necessity
Mayo, D. G. (1997) · Philosophy of Science · doi:10.1086/392600 · Cited by 93 · see citing works
Conditional Properties of Statistical Procedures
Robinson, G. K. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344725 · Cited by 92 · see citing works
Developments in Decision-Theoretic Variance Estimation
Maatta, J. M., & Casella, G. (1990) · Statistical Science · doi:10.1214/ss/1177012263 · Cited by 90 · see citing works
Ancillaries and Conditional Inference
Fraser, D. A. S. (2004) · Statistical Science · doi:10.1214/088342304000000323 · Cited by 88 · see citing works
For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates
Greenland, S. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0230-6 · Cited by 86 · see citing works
On the Generalization of the Likelihood Function and the Likelihood Principle
Bjørnstad, J. F. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476947 · Cited by 85 · see citing works
Kempthorne, O. (1977) · Journal of Statistical Planning and Inference · doi:10.1016/0378-3758(77)90002-7 · Cited by 84 · see citing works
Confidence Curves: An Omnibus Technique for Estimation and Testing Statistical Hypotheses
Birnbaum, A. (1961) · Journal of the American Statistical Association · doi:10.1080/01621459.1961.10482107 · Cited by 80 · see citing works
“Statistical Significance” and Statistical Reporting: Moving Beyond Binary
McShane, B. B., Bradlow, E. T., Lynch, J. G., & Meyer, R. J. (2023) · Journal of Marketing · doi:10.1177/00222429231216910 · Cited by 79 · see citing works
On principles and arguments to likelihood
Evans, M. J., Fraser, D. A. S., & Monette, G. A. (1986) · Canadian Journal of Statistics · doi:10.2307/3314794 · Cited by 78 · see citing works
1 52 Is Bayes Posterior just Quick and Dirty Confidence?
Fraser, D. A. S. (2009) · Cited by 77 · see citing works
Combining statistical inference and decisions in ecology
Williams, P. J., & Hooten, M. B. (2016) · Ecological Applications · doi:10.1890/15-1593.1 · Cited by 76 · see citing works
Recovery of Ancillary Information*
Basu, D. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5825-9_19 · Cited by 76 · see citing works
On the Birnbaum Argument for the Strong Likelihood Principle
Mayo, D. G. (2014) · Statistical Science · doi:10.1214/13-sts457 · Cited by 75 · see citing works
Comment on Perlman and Wu, “The Emperor’s new tests” (with rejoinder by authors)
Berger, R. L. (1999) · Statistical Science · doi:10.1214/ss/1009212518 · Cited by 75 · see citing works
On second-order optimality of the observed Fisher information
Lindsay, B. G., & Li, B. (1997) · The Annals of Statistics · doi:10.1214/aos/1069362393 · Cited by 73 · see citing works
Aldrich, J. (2005) · Statistical Science · doi:10.1214/088342305000000331 · Cited by 73 · see citing works
R. A. Fisher: The Founder of Modern Statistics
Rao, C. R. (1992) · Statistical Science · doi:10.1214/ss/1177011442 · Cited by 72 · see citing works
Causal Inference in Urban and Regional Economics
Baum-Snow, N. B., & Ferreira, F. V. (2014) · National Bureau of Economic Research · doi:10.3386/w20535 · Cited by 73 · see citing works
OPEN STATISTICAL ISSUES IN PARTICLE PHYSICS 1Preprint
Lyons, L. (2012) · Cited by 69 · see citing works
On Some Principles of Statistical Inference
Reid, N. M., & Cox, D. R. (2014) · International Statistical Review · doi:10.1111/insr.12067 · Cited by 67 · see citing works
Self-citationANCILLARY STATISTICS: A REVIEW
Ghosh, M., Reid, N. M., & Fraser, D. A. S. (2010) · Cited by 65 · see citing works
LOPSIDED REASONING ON LOPSIDED TESTS AND MULTIPLE COMPARISONS
Hurlbert, S. H., & Lombardi, C. M. (2012) · Australian & New Zealand Journal of Statistics · doi:10.1111/j.1467-842x.2012.00652.x · Cited by 65 · see citing works
Power Computations for Designing Comparative Poisson Trials
Gail, M. H. (1974) · Biometrics · doi:10.2307/2529645 · Cited by 65 · see citing works
‘Geometrical theory of asymptotic ancillarity and conditional inference’
Амари, Ш.-И. (1983) · Biometrika · doi:10.1093/biomet/70.1.303 · Cited by 65 · see citing works
On the Estimation of Safe Life When the Underlying Life Distribution Is Weibull
Lawless, J. F. (1973) · Technometrics · doi:10.1080/00401706.1973.10489118 · Cited by 64 · see citing works
RECOVERY OF ANCILLARY INFORMATION
BASU, D. (1965) · Elsevier eBooks · doi:10.1016/b978-1-4832-3160-0.50005-1 · Cited by 63 · see citing works
Does preregistration improve the credibility of research findings?
Rubin, M. (2020) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.16.4.p376 · Cited by 61 · see citing works
Marginal and Conditional Sufficiency
Sprott, D. A. (1975) · Biometrika · doi:10.1093/biomet/62.3.599 · Cited by 62 · see citing works
Seidenfeld, T., Schervish, M. J., & Kadane, J. B. (1990) · Springer eBooks · doi:10.1007/978-94-009-2476-5_11 · Cited by 62 · see citing works
The Choice between Alternative Ancillary Statistics
Cox, D. R. (1971) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1971.tb00876.x · Cited by 60 · see citing works
Self-citationConditional Statistical Inference and Quantification of Relevance
Sundberg, R. (2003) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/1467-9868.00387 · Cited by 58 · see citing works
Tests of Statistical Significance Made Sound
Haig, B. D. (2016) · Educational and Psychological Measurement · doi:10.1177/0013164416667981 · Cited by 57 · see citing works
Ke, X., Lin, J. Y., Fu, C., & Wang, Y. (2020) · Sustainability · doi:10.3390/su12145618 · Cited by 56 · see citing works
Fisherian Inference in Likelihood and Prequential Frames of Reference
Dawid, A. P. (1991) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1991.tb01810.x · Cited by 55 · see citing works
Theory of Statistical Inference
Rao, C. R. (1973) · Wiley series in probability and statistics · doi:10.1002/9780470316436.ch7 · Cited by 55 · see citing works
- Authors
- Cox, D. R.
- Corresponding author
- Cox, D. R.
- Venue
- The Annals of Mathematical Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1958-06
- Volume
- 29
- Issue
- 2
- Pages
- 357-372
- ISSN
- 0003-4851 (ISSN-L)
- OpenAlex
- W3023006322
- Cited by
- 536
- References
- 0
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 18 · 2023: 17 · 2022: 18 · 2021: 14 · 2020: 14 · 2019: 10 · 2018: 32 · 2017: 19 · 2016: 16 · 2015: 9 · 2014: 27 · 2013: 15 · 2012: 13
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Annals of Mathematical Statistics (publishedVersion)
- Project Euclid (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- statistical inference
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review