The DOI matches its Crossref record.
Theoretical Statistics
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In this paper, for all the experiments, the confidence interval is lower than 0.5%, so any difference higher than this value, this difference can be considered as significant with a 95% a probability.”
From Feature extraction for robust physical activity recognition (2017) · cites this paper as [29]
Citations
Cited by
Sorted by citations
Items 301–400 of 1,000
Charles, K., Shore, J., Sellwood, J., et al. (2009) · Journal of Applied Microbiology · doi:10.1111/j.1365-2672.2009.04150.x · Cited by 103
Predictive Likelihood Inference with Applications
Butler, R. W. (1986) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1986.tb01386.x · Cited by 103
An Empirical Application and Monte Carlo Analysis of Tests of Dynamic Specification
Hendry, D. F., & Mizon, G. E. (2000) · doi:10.1093/0198293542.003.0008 · Cited by 102
Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
Escala-Garcia, M., Morra, A., Canisius, S., Chang-Claude, J. C., Kar, S., Zheng, W., Bojesen, S. E., Easton, D. F., Pharoah, P. D. P., & Schmidt, M. K. (2020) · BMC Medicine · doi:10.1186/s12916-020-01797-2 · Cited by 109
Wang, J., Ogden, N. H., & Zhu, H. (2011) · Journal of Medical Entomology · doi:10.1603/me10117 · Cited by 101
Approximations to noncentral distributions
Cox, D. R., & Reid, N. M. (1987) · Canadian Journal of Statistics · doi:10.2307/3315199 · Cited by 101
Self-citationGuyatt, H. L., Bundy, D. A. P., Medley, G. F., et al. (1990) · Parasitology · doi:10.1017/s0031182000079841 · Cited by 101
On maximum likelihood estimation of the extreme value index
Drees, H., Ferreira, A., & de Haan, L. (2004) · The Annals of Applied Probability · doi:10.1214/105051604000000279 · Cited by 101
Highly Reliable Key Generation From Electrocardiogram (ECG)
Karimian, N., Guo, Z., Tehranipoor, M. M., & Forte, D. J. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2607020 · Cited by 104
Copula‐based uncertainty modelling: application to multisensor precipitation estimates
AghaKouchak, A., Bàrdossy, A., & Habib, E. (2010) · Hydrological Processes · doi:10.1002/hyp.7632 · Cited by 100
Goodness‐of‐fit based confidence intervals for estimates of the size of a closed population
Regal, R. R., & Hook, E. B. (1984) · Statistics in Medicine · doi:10.1002/sim.4780030310 · Cited by 100
Diagnostics analysis for log-Birnbaum–Saunders regression models
Xie, F., & Wei, B. (2006) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2006.08.030 · Cited by 99
Logistic Discrimination and Bias Correction in Maximum Likelihood Estimation
Anderson, J. A., & Richardson, S. T. (1979) · Technometrics · doi:10.1080/00401706.1979.10489724 · Cited by 99
TIME SERIES ANALYSIS OF BOUNDED ECONOMIC VARIABLES
Wallis, K. F. (1987) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1987.tb00425.x · Cited by 99
Analysis of variation at transcription factor binding sites in Drosophila and humans
Spivakov, M., Akhtar, J., Kheradpour, P., Beal, K., Girardot, C., Koscielny, G., Herrero, J., Kellis, M., Furlong, E. E., & Birney, E. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r49 · Cited by 94
A Locally Most Mean Powerful Based Score Test for ARCH and GARCH Regression Disturbances
Lee, J. H. H., & King, M. L. (1993) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1993.10509930 · Cited by 97
The cusum test of homogeneity with an application in spontaneous abortion epidemiology
Levin, B. L., & Kline, J. K. (1985) · Statistics in Medicine · doi:10.1002/sim.4780040408 · Cited by 98
Control of primary osteosarcoma with chemotherapy
Jaffe, N., Robertson, R., Takaue, Y., Cangır, A., Wallace, S., Carrasco, H., Eftekhari, F., Ayala, A. G., & Wang, A. Z. (1985) · Cancer · doi:10.1002/1097-0142(19850801)56:3 · Cited by 28
Assessing the Calibration of Dichotomous Outcome Models with the Calibration Belt
Nattino, G., Lemeshow, S. A., Phillips, G. S., Finazzi, S., & Bertolini, G. (2017) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1801700414 · Cited by 97
The Distribution of Single-Spell Duration Data
Ridder, G. (1984) · Studies in contemporary economics · doi:10.1007/978-3-642-88315-6_3 · Cited by 101
MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis
Kang, D., Sibille, E. L., Kaminski, N., & Tseng, G. C. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1071 · Cited by 96
Can Evidence Impact Attitudes? Public Reactions to Evidence of Gender Bias in STEM Fields
Moss-Racusin, C. A., Molenda, A. K., & Cramer, C. R. (2015) · Psychology of Women Quarterly · doi:10.1177/0361684314565777 · Cited by 98
A Comparison ofnEstimators for the Binomial Distribution
Olkin, I., Petkau, A. J., & Zidek, J. V. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477697 · Cited by 95
Downscaling and Projection of Winter Extreme Daily Precipitation over North America
Wang, J., & Zhang, X. (2008) · Journal of Climate · doi:10.1175/2007jcli1671.1 · Cited by 93
Spectral estimation on a sphere in geophysics and cosmology
Dahlen, F. A., & Simons, F. J. (2008) · Geophysical Journal International · doi:10.1111/j.1365-246x.2008.03854.x · Cited by 93
A Comparison of Methods for Estimating the Extremal Index
Ancona-Navarrete, M. A., & Tawn, J. A. (2000) · Extremes · doi:10.1023/a:1009993419559 · Cited by 93
Rethinking biased estimation [Lecture Notes]
Kay, S., & Eldar, Y. C. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.918027 · Cited by 93
Burman, C., & Sonesson, C. (2006) · Biometrics · doi:10.1111/j.1541-0420.2006.00626.x · Cited by 93
Bcl-2,Bax andp53 expression in B-CLL in relation toin vitro survival and clinical progression
Aguilar‐Santelises, M., Rottenberg, M. E., Lewin, N. L., Mellstedt, H., & Jondal, M. (1996) · International Journal of Cancer · doi:10.1002/(sici)1097-0215(19960422)69:2 · Cited by 137
Upper Confidence Limits on Excess Risk for Quantitative Responses
Kodell, R. L., & West, R. W. (1993) · Risk Analysis · doi:10.1111/j.1539-6924.1993.tb01067.x · Cited by 93
Stochastic complexity and the mdl principle
Rissanen, J. (1987) · Econometric Reviews · doi:10.1080/07474938708800126 · Cited by 92
On maximum likelihood estimation of the extreme value index
Drees, H., Ferreira, A. M., & de Haan, L. (2002) · Publications of the UdS (Saarland University) · doi:10.22028/d291-26222 · Cited by 93
Predictors of Medication Errors Among Elderly Hospitalized Patients
Picone, D. M., Titler, M. G., Dochterman, J. M., Shever, L. L., Kim, T., Abramowitz, P. W., Kanak, M. F., & Qin, R. (2008) · American Journal of Medical Quality · doi:10.1177/1062860607313143 · Cited by 93
Noykova, N., Müller, T. G., Gyllenberg, M., et al. (2002) · Biotechnology and Bioengineering · doi:10.1002/bit.10179 · Cited by 92
Inference with Imputed Conditional Means
Schafer, J. L., & Nathaniel Schenker, A. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473910 · Cited by 99
Confidence intervals for the parameters of psychometric functions
Maloney, L. T. (1990) · Perception & Psychophysics · doi:10.3758/bf03205977 · Cited by 90
Colleoni, M. A., Zahrieh, D., Gelber, R. D., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.06.052 · Cited by 90
Mapping snow depth return levels: smooth spatial modeling versus station interpolation
Blanchet, J., & Lehning, M. (2010) · Hydrology and earth system sciences · doi:10.5194/hess-14-2527-2010 · Cited by 90
A model for variations in single and repeated egg counts in schistosoma mansoni infections
de Vlas, S. J., Gryseels, B., van Oortmarssen, G. J., et al. (1992) · Parasitology · doi:10.1017/s003118200006371x · Cited by 90
Skoog, I. G., Berg, S., Johansson, B. E. A., Palmertz, B., & Andreasson, L.-A. (2009) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1996.tb00190.x · Cited by 90
Ancillaries and Conditional Inference
Fraser, D. A. S. (2004) · Statistical Science · doi:10.1214/088342304000000323 · Cited by 88
Maximum likelihood method for the analysis of time-resolved fluorescence decay curves
Bajzer, E., Therneau, T. M., Sharp, J. C., et al. (1991) · European Biophysics Journal · doi:10.1007/bf00450560 · Cited by 89
Clump, K. S., & Howe, R. B. (1984) · Risk Analysis · doi:10.1111/j.1539-6924.1984.tb00136.x · Cited by 89
Estimation issues in clinical trials and overviews
Pocock, S., & Hughes, M. D. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090612 · Cited by 87
Default Priors for Bayesian and Frequentist Inference
Fraser, D. A. S., Reid, N. M., Marras, E., et al. (2010) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2010.00750.x · Cited by 88
On the bivariate negative binomial regression model
Famoye, F. (2010) · Journal of Applied Statistics · doi:10.1080/02664760902984618 · Cited by 88
Assessing and accounting for time heterogeneity in stochastic actor oriented models
Lospinoso, J. A., Schweinberger, M., Snijders, T. A. B., et al. (2010) · Advances in Data Analysis and Classification · doi:10.1007/s11634-010-0076-1 · Cited by 88
Duch, W. (2008) · Studies in fuzziness and soft computing · doi:10.1007/978-3-540-35488-8_4 · Cited by 88
Greenland, S. (2020) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12711 · Cited by 83
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
Skoog, I. G. (1993) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.930080308 · Cited by 85
A new calculation of the carcinogenic risk of obstetric X‐raying
Bithell, J. F., & Stiller, C. A. (1988) · Statistics in Medicine · doi:10.1002/sim.4780070804 · Cited by 88
The choice of test for detecting raised disease risk near a point source
Bithell, J. F. (1995) · Statistics in Medicine · doi:10.1002/sim.4780142104 · Cited by 87
Airborne (1→3)-β-d-Glucan and Airway Disease in a Day-Care Center before and after Renovation
Rylander, R. (1997) · Archives of Environmental Health An International Journal · doi:10.1080/00039899709602199 · Cited by 85
Genealogical and Evolutionary Inference with the Human Y Chromosome
Stumpf, M. P. H., & Goldstein, D. B. (2001) · Science · doi:10.1126/science.291.5509.1738 · Cited by 87
Communication and Collaboration With Schools: Pediatricians’ Perspectives
Bradley‐Klug, K. L., Sundman, A., Nadeau, J. M., et al. (2010) · Journal of Applied School Psychology · doi:10.1080/15377903.2010.518583 · Cited by 86
Analysis of Minimum Distances in High-Dimensional Musical Spaces
Casey, M. A., Rhodes, C., & Slaney, M. (2008) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2008.925883 · Cited by 85
Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling
Schartau, M., Wallhead, P., Hemmings, J. C. P., Löptien, U., Kriest, I., Krishna, S., Ward, B. A., Slawig, T., & Oschlies, A. (2017) · Biogeosciences · doi:10.5194/bg-14-1647-2017 · Cited by 85
Validation of ecological state space models using the Laplace approximation
Thygesen, U. H., Albertsen, C. M., Berg, C. W., Kristensen, K., & Nielsen, A. (2017) · Environmental and Ecological Statistics · doi:10.1007/s10651-017-0372-4 · Cited by 90
The use of Bayesian methods for fitting rating curves, with case studies
Moyeed, R. A., & Clarke, R. T. (2005) · Advances in Water Resources · doi:10.1016/j.advwatres.2005.02.005 · Cited by 87
Mud puddling by butterflies is not a simple matter
Boggs, C. L., & JACKSON, L. A. (1991) · Ecological Entomology · doi:10.1111/j.1365-2311.1991.tb00199.x · Cited by 86
Likelihood inferences in animal breeding under selection: a missing-data theory view point
Im, S., Fernando, R. L., & Gianola, D. (1989) · Genetics Selection Evolution · doi:10.1186/1297-9686-21-4-399 · Cited by 86
Presence of parasitic protozoa and helminth in sewage and efficiency of sewage treatment in Tunisia
Ayed, L. B., Schijven, J. F., Alouini, Z., et al. (2009) · Parasitology Research · doi:10.1007/s00436-009-1396-y · Cited by 85
Comparing ROC curves derived from regression models
Seshan, V., Gönen, M., & Begg, C. B. (2012) · Statistics in Medicine · doi:10.1002/sim.5648 · Cited by 85
Exploring Partial Residual Plots
Cook, R. D. (1993) · Technometrics · doi:10.1080/00401706.1993.10485350 · Cited by 98
Mark, S. D., & Robins, J. M. (1993) · Statistics in Medicine · doi:10.1002/sim.4780121707 · Cited by 83
Specification Tests Based on Artificial Regressions
Davidson, R., & MacKinnon, J. G. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10475329 · Cited by 85
Greenland, S., & Mansournia, M. A. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-9995-7 · Cited by 86
Apolipoprotein(a) Enhances Platelet Responses to the Thrombin Receptor–Activating Peptide SFLLRN
Rand, M. L., Sangrar, W., Hancock, M. A., Taylor, D. M., Marcovina, S. M., Packham, M. A., & Koschinsky, M. L. (1998) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.18.9.1393 · Cited by 86
A critical evaluation of the current “p‐value controversy”
Wellek, S. (2017) · Biometrical Journal · doi:10.1002/bimj.201700001 · Cited by 82
Statistics and the Scientific Method
Freedman, D. A. (1985) · Springer eBooks · doi:10.1007/978-1-4613-8536-3_11 · Cited by 84
“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
Confidence intervals for a random‐effects meta‐analysis based on Bartlett‐type corrections
Noma, H. (2011) · Statistics in Medicine · doi:10.1002/sim.4350 · Cited by 81
Spectral estimation on a sphere in geophysics and cosmology
Dahlen, F. A., & Simons, F. J. (2008) · UCL Discovery (University College London) · Cited by 82
Why and how we should join the shift from significance testing to estimation
Berner, D., & Amrhein, V. (2022) · Journal of Evolutionary Biology · doi:10.1111/jeb.14009 · Cited by 87
Representing Epistemic Uncertainty by Means of Dialectical Argumentation
McBurney, P., & Parsons, S. (2001) · Annals of Mathematics and Artificial Intelligence · doi:10.1023/a:1016757315265 · Cited by 80
Male Breast Cancer Incidence Among Atomic Bomb Survivors
Ron, E., Ikeda, T., Preston, D. L., & Tokuoka, S. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji097 · Cited by 82
Xie, H., Chaussalet, T., & Millard, P. H. (2004) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.00335.x · Cited by 82
Skoog, I. G., Palmertz, B., & Andreasson, L. (1994) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/089198879400700308 · Cited by 82
Meta-Analysis of Linkage Data under Worst-Case Conditions: A Demonstration Using the Human OB Region
Allison, D. B., & Heo, M. (1998) · Genetics · doi:10.1093/genetics/148.2.859 · Cited by 81
Beckman, R. J., & Cook, R. D. (1983) · Technometrics · doi:10.1080/00401706.1983.10487840 · Cited by 236
Maximum likelihood estimation of phylogeny using stratigraphic data
Huelsenbeck, J. P., & Rannala, B. H. (1997) · Paleobiology · doi:10.1017/s0094837300016778 · Cited by 78
Calculation of confidence intervals for simulation output
Cheng, R. C. H., & Holland, W. (2004) · ACM Transactions on Modeling and Computer Simulation · doi:10.1145/1029174.1029176 · Cited by 76
Depression, cerebral atrophy, cognitive performance and incidence of dementia
Palsson, S. P., Aevarsson, Ó., & Skoog, I. G. (1999) · The British Journal of Psychiatry · doi:10.1192/bjp.174.3.249 · Cited by 82
Ensemble Averaging and Mean Squared Error
Rougier, J. (2016) · Journal of Climate · doi:10.1175/jcli-d-16-0012.1 · Cited by 82
On bartlett and bartlett-type corrections francisco cribari-neto
Cribari‐Neto, F., & Cordeiro, G. M. (1996) · Econometric Reviews · doi:10.1080/07474939608800361 · Cited by 80
Interpretation and estimation of summary ratios under heterogeneity
Greenland, S. (1982) · Statistics in Medicine · doi:10.1002/sim.4780010304 · Cited by 80
Determining the number of signals by information theoretic criteria
Wax, M., & Kailath, T. (2005) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1984.1172389 · Cited by 80
CONDITIONING IN DYNAMIC MODELS
Florens, J., & Mouchart, M. (1985) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.1985.tb00395.x · Cited by 80
On the lod score method in linkage analysis
Chotai, J. (1984) · Annals of Human Genetics · doi:10.1111/j.1469-1809.1984.tb00849.x · Cited by 80
A GUI platform for uncertainty quantification of complex dynamical models
Wang, C., Duan, Q., Tong, C., Di, Z., & Gong, W. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2015.11.004 · Cited by 77
Koh, H., Blaser, M. J., & Li, H. (2017) · Microbiome · doi:10.1186/s40168-017-0262-x · Cited by 78
Covariate selection in pharmacometric analyses: a review of methods
Hutmacher, M., & Kowalski, K. (2015) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.12451 · Cited by 78
The exact analysis of contingency tables in medical research
Mehta, C. R. (1994) · Statistical Methods in Medical Research · doi:10.1177/096228029400300203 · Cited by 78
Efficient estimation of parameters for non-Gaussian autoregressive processes
Sengupta, D., & Kay, S. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/assp.1989.28052 · Cited by 79
Conditioning on One-Step Survival for Barrier Option Simulations
Glasserman, P., & Staum, J. C. (2001) · Operations Research · doi:10.1287/opre.49.6.923.10018 · Cited by 79
Childhood drowning and near‐drowning in Brisbane: the contribution of domestic pools
Pitt, W. R., & Balanda, K. P. (1991) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1991.tb121253.x · Cited by 79
The Rate of Degradation of Chemical Cues Indicating Predation Risk: An Experiment and Review
Buskirk, J. V., Krügel, A., Kunz, J. A., Miss, F. M., & Stamm, A. (2014) · Ethology · doi:10.1111/eth.12266 · Cited by 78
Mixtures of general linear models for functional neuroimaging
Penny, W. D., & Friston, K. J. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.809140 · Cited by 78
Birnbaum–Saunders statistical modelling: a new approach
Leiva, V., Santos‐Neto, M., Cysneiros, F. J. A., et al. (2014) · Statistical Modelling · doi:10.1177/1471082x13494532 · Cited by 78
Metadata
- Authors
- Cox, D. R., & Hinkley, D. V.
- ORCID
- Cox, D. R.
- Venue
- Springer eBooks
- Publisher
- Springer US
- Published
- 1974
- OpenAlex
- W4240874411
- Cited by
- 3,089
- References
- 0
- Citations by year
- 2026: 29 · 2025: 43 · 2024: 32 · 2023: 50 · 2022: 62 · 2021: 60 · 2020: 64 · 2019: 85 · 2018: 89 · 2017: 90 · 2016: 79 · 2015: 76 · 2014: 153 · 2013: 86 · 2012: 101
- FWCI
- 7.91
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- mathematical statistics
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