The Probable Error of a Mean

Characterising resource management performance in Kubernetes

Medel, V., Calasanz, R. T., Bañares, J. Á., Arronategui, U., & RANA, O. F. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.03.041 · Cited by 98

A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification

Liang, Z., Wu, T., Ma, X., Zhu, Z., & Yang, S. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2986600 · Cited by 98

Proliferative responses observed following vancomycin treatment in renal proximal tubule epithelial cells

King, D. W., & Smith, M. A. (2004) · Toxicology in Vitro · doi:10.1016/j.tiv.2004.03.013 · Cited by 97

Factors influencing large wildland fire suppression expenditures

Liang, J., Calkin, D. E., Gebert, K. M., Venn, T. J., & Silverstein, R. P. (2008) · International Journal of Wildland Fire · doi:10.1071/wf07010 · Cited by 97

On Student's 1908 Article “The Probable Error of a Mean”

Zabell, S. L. (2008) · Journal of the American Statistical Association · doi:10.1198/016214508000000030 · Cited by 96

Climate Based Predictability of Oil Palm Tree Yield in Malaysia

Oettli, P., Behera, S. K., & Yamagata, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-20298-0 · Cited by 107

Forecasting with VAR models: Fat tails and stochastic volatility

Chiu, C., Mumtaz, H., & Pintér, G. (2017) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2017.03.001 · Cited by 94

The Nutritive Value of Colostrum for the Calf

Aschaffenburg, R., Bartlett, S. J., Kon, S. K., Terry, P., Thompson, S. Y., Walker, D. M., Briggs, C., Cotchin, E., & Lovell, R. (1949) · British Journal Of Nutrition · doi:10.1079/bjn19490026 · Cited by 95

Climate Change Projections of Extreme Temperatures for the Iberian Peninsula

Viceto, C., Pereira, S. C., & Rocha, A. C. (2019) · Atmosphere · doi:10.3390/atmos10050229 · Cited by 92

A linear model for estimation of neurotransmitter response profiles from dynamic PET data

Normandin, M. D., Schiffer, W. K., & Morris, E. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.002 · Cited by 94

Statistical power: Concepts, procedures, and applications

Hallahan, M., & Rosenthal, R. (1996) · Behaviour Research and Therapy · doi:10.1016/0005-7967(95)00082-8 · Cited by 89

Southern annular mode impacts on global ocean surface waves

Marshall, A. G., Hemer, M., Hendon, H. H., & McInnes, K. L. (2018) · Ocean Modelling · doi:10.1016/j.ocemod.2018.07.007 · Cited by 88

A Study of the Composition of Sow's Milk

Braude, R. M., Coates, M. E., Henry, K. M., Kon, S. K., Rowland, S. J., Thompson, S. Y., & Walker, D. M. (1947) · British Journal Of Nutrition · doi:10.1079/bjn19470008 · Cited by 87

The distribution of second order moment statistics in a normal system

Wishart, J., & Bartlett, M. S. (1932) · Mathematical Proceedings of the Cambridge Philosophical Society · doi:10.1017/s0305004100010690 · Cited by 86

Lock-in and quasiperiodicity in a forced hydrodynamically self-excited jet

Li, L. K. B., & Juniper, M. P. (2013) · Journal of Fluid Mechanics · doi:10.1017/jfm.2013.223 · Cited by 86

Aging effects of AC harmonics on lithium-ion cells

Bessman, A., Soares, R., Wallmark, O., Svens, P. I., & Lindbergh, G. (2019) · Journal of Energy Storage · doi:10.1016/j.est.2018.12.016 · Cited by 86

Experimental study of the protuberance effect on the blade performance of a small horizontal axis wind turbine

Huang, G.-Y., Shiah, Y. C., Bai, C.-J., & Chong, W. T. (2015) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2015.10.005 · Cited by 85

Elementary Statistics

Whaley, R. E. (2012) · doi:10.1002/9781119201984.app1 · Cited by 85

A genetic algorithm solution to the collaborative filtering problem

Ar, Y., & Bostancı, E. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.05.021 · Cited by 84

VLT/SPHERE robust astrometry of the HR8799 planets at milliarcsecond-level accuracy

Wertz, O., Absil, O., Gonzalez, C. A. G., Milli, J., Girard, J. H., Mawet, D. P., & Pueyo, L. A. (2016) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201628730 · Cited by 83

Large language models for scientific discovery in molecular property prediction

Zheng, Y., Koh, H. Y., Ju, J., Nguyen, A. T. N., May, L. T., Webb, G. I., & Pan, S. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-00994-z · Cited by 180

Initiation and amplification of the Ningaloo Niño

Marshall, A. G., Hendon, H. H., Feng, M., & Schiller, A. U. (2015) · Climate Dynamics · doi:10.1007/s00382-015-2477-5 · Cited by 84

Total Knee Arthroplasty in Patients With a Prior Tibial Plateau Fracture: A Long-Term Report at 15 Years

Abdel, M. P., von Roth, P., Cross, W. W., Berry, D. J., Trousdale, R. T., & Lewallen, D. G. (2015) · The Journal of Arthroplasty · doi:10.1016/j.arth.2015.06.032 · Cited by 82

The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis

Bera, A. K., & Bilias, Y. (2002) · Journal of Econometrics · doi:10.1016/s0304-4076(01)00113-0 · Cited by 80

EFFECT OF POVERTY AND OTHER SOCIOECONOMIC VARIABLES ON RENAL ALLOGRAFT SURVIVAL

Butkus, D. E., Dottes, A. L., Meydrech, E. F., & Barber, W. H. (2001) · Transplantation · doi:10.1097/00007890-200107270-00017 · Cited by 81

Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes

Jin, H., Chen, X., Yang, J., Hua, Z., Wang, L., & Wu, L. (2015) · Chemical Engineering Science · doi:10.1016/j.ces.2015.03.038 · Cited by 81

Understanding Variation in Sets of N-of-1 Trials

Araújo, A., Julious, S. A., & Senn, S. J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167167 · Cited by 81

Molecular versus morphological data for benthic diatoms biomonitoring in Northern Europe freshwater and consequences for ecological status

Bailet, B., Bouchez, A., Franc, A., Frigerio, J.-M., Keck, F., Karjalainen, S. M., Rimet, F., Schneider, S. C., & Kahlert, M. (2019) · Metabarcoding and Metagenomics · doi:10.3897/mbmg.3.34002 · Cited by 80

Classification of inflammatory bowel diseases by means of Raman spectroscopic imaging of epithelium cells

Bielecki, C., Marquardt, C., Stallmach, A., Bocklitz, T. W., Schmitt, M. P., Popp, J., Krafft, C., Gharbi, A., & Knösel, T. (2012) · Journal of Biomedical Optics · doi:10.1117/1.jbo.17.7.076030 · Cited by 80

Chapter 16 Monte carlo experimentation in econometrics

Hendry, D. F. (1984) · Handbook of econometrics · doi:10.1016/s1573-4412(84)02008-0 · Cited by 80

Identification of Conserved Proteomic Networks in Neurodegenerative Dementia

Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Dai, J., Lah, J. J., Johnson, E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107807 · Cited by 78

R. A. Fisher and his advocacy of randomization

Hall, N. S. (2007) · Journal of the History of Biology · doi:10.1007/s10739-006-9119-z · Cited by 85

Identification of conserved proteomic networks in neurodegenerative dementia

Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Lah, J. J., Johnson, E. E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H. (2019) · doi:10.1101/825802 · Cited by 78

Objective Bayesian Two Sample Hypothesis Testing for Online Controlled Experiments

Deng, A. (2015) · International World Wide Web Conference (WWW) · doi:10.1145/2740908.2742563 · Cited by 77

The Controversy over Null Hypothesis Significance Testing Revisited

Balluerka, N., Gómez, J., & Hidalgo, D. (2005) · Methodology · doi:10.1027/1614-1881.1.2.55 · Cited by 78

On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles

Chen, J. M. (2018) · Risks · doi:10.2139/ssrn.3136278 · Cited by 77

You Think You’ve Got Trivials?

Sawilowsky, S. S. (2003) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1051748460 · Cited by 75

Learning Computer Networking on Open Paravirtual Laboratories

Anisetti, M., Bellandi, V., Colombo, A. E., Cremonini, M., Damiani, E., Frati, F., Hounsou, J. T., & Rebeccani, D. (2007) · IEEE Transactions on Education · doi:10.1109/te.2007.904584 · Cited by 75

Parametric Response Mapping as an Imaging Biomarker in Lung Transplant Recipients

Belloli, E. A., Degtiar, I., Wang, X., Yanik, G. A., Stuckey, L. J., Verleden, S. E., Kazerooni, E. A., Ross, B. D., Murray, S., Galbán, C. J., et al. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201604-0732oc · Cited by 75

Uncemented Jumbo Cups for Revision Total Hip Arthroplasty

von Roth, P., Abdel, M. P., Harmsen, W. S., & Berry, D. J. (2015) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.n.00798 · Cited by 74

THE FISHER-PITMAN PERMUTATION TEST: AN ATTRACTIVE ALTERNATIVE TO THE F TEST

Berry, K. J., Mielke, P. W., & Mielke, H. W. (2002) · Psychological Reports · doi:10.2466/pr0.2002.90.2.495 · Cited by 74

Valid Post-clustering Differential Analysis for Single-Cell RNA-Seq

Zhang, J. M., Kamath, G. M., & Tse, D. N. (2019) · Cell Systems · doi:10.1016/j.cels.2019.07.012 · Cited by 72

Optimal Control of Multiroom HVAC System: An Event-Based Approach

Wu, Z., Jia, Q., & Guan, X. (2015) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2015.2446955 · Cited by 73

Dichotomous development of the gut microbiome in preterm infants

Ho, T. T. B., Groer, M. E., Kane, B., Yee, A. L., Torres, B. A., Gilbert, J. A., & Maheshwari, A. (2018) · Microbiome · doi:10.1186/s40168-018-0547-8 · Cited by 77

Fisher and Regression

Aldrich, J. (2005) · Statistical Science · doi:10.1214/088342305000000331 · Cited by 73

THE COLOR DIFFERENCES OF KUIPER BELT OBJECTS IN RESONANCE WITH NEPTUNE

Sheppard, S. S. (2012) · The Astronomical Journal · doi:10.1088/0004-6256/144/6/169 · Cited by 73

Adequacy in voided urine cytology specimens: The role of volume and a repeat void upon predictive values for high‐grade urothelial carcinoma

VandenBussche, C. J., Rosenthal, D. L., & Olson, M. T. (2015) · Cancer Cytopathology · doi:10.1002/cncy.21634 · Cited by 72

Analysis of Environmental Statements Issued by EMAS-Certified Spanish Hotels

Priego, M. J. B., & Avilés-Palacios, C. (2008) · Cornell Hospitality Quarterly · doi:10.1177/0010880407307766 · Cited by 71

Comparison among dimensionality reduction techniques based on Random Projection for cancer classification

Xie, H., Li, J., Zhang, Q., & Wang, Y. (2016) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2016.09.010 · Cited by 71

Clonal in vitro propagation of peat mosses (Sphagnum L.) as novel green resources for basic and applied research

Beike, A. K., Spagnuolo, V., Lüth, V. M., Steinhart, F., Ramos‐Gómez, J., Krebs, M., Adamo, P., Rey-Asensio, A. I., Fernández, J. Á., Giordano, S., et al. (2014) · Plant Cell Tissue and Organ Culture (PCTOC) · doi:10.1007/s11240-014-0658-2 · Cited by 71

Alterations in grapevine leaf metabolism upon inoculation with Plasmopara viticola in different time-points

Ali, K., Maltese, F., Figueiredo, A., Rex, M., Fortes, A. M., Zyprian, E., Pais, M. S., Verpoorte, R., & Choi, Y. H. (2012) · Plant Science · doi:10.1016/j.plantsci.2012.04.014 · Cited by 70

Research on 'Responsible Investment': An Influential Literature Analysis Comprising a Rating, Characterisation, Categorisation and InvestigationPreprint

Hoepner, A. G. F., & McMillan, D. G. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1454793 · Cited by 74

Accurate detection of myocardial infarction using non linear features with ECG signals

Sridhar, C., Lih, O. S., Jahmunah, V., Koh, J. E. W., Ciaccio, E. J., San, T. R., Arunkumar, N., Kadry, S., & Acharya, U. R. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-02536-4 · Cited by 70

Changing the paradigm: Simulation, now a method of first resort

Lucas, T. W., Kelton, W. D., Sánchez, P. J., Sanchez, S. M., & Anderson, B. L. (2015) · Naval Research Logistics (NRL) · doi:10.1002/nav.21628 · Cited by 69

On-Line Index Selection for Shifting Workloads

Schnaitter, K., Abiteboul, S., Milo, T., & Polyzotis, N. (2007) · IEEE International Conference on Data Engineering Workshops (ICDEW) · doi:10.1109/icdew.2007.4401029 · Cited by 69

Differences in Effects on Myocardium and Mitochondria by Angiogenic Inhibitors Suggest Separate Mechanisms of Cardiotoxicity

French, K. J., Coatney, R. W., Renninger, J., Hu, C. X., Gales, T. L., Zhao, S., Storck, L. M., Davis, C. B., McSurdy-Freed, J. E., Chen, E., et al. (2010) · Toxicologic Pathology · doi:10.1177/0192623310373775 · Cited by 68

Quantifying the Inherent Uncertainty Associated with Nucleation Rates Estimated from Induction Time Data Measured in Small Volumes

Xiao, Y., Tang, S. K., Hao, H., Davey, R. J., & Vetter, T. (2017) · Crystal Growth & Design · doi:10.1021/acs.cgd.7b00372 · Cited by 68

An efficient detection of congestive heart failure using frequency localized filter banks for the diagnosis with ECG signals

Bhurane, A. A., Sharma, M. D., Tan, R., & Acharya, U. R. (2019) · Cognitive Systems Research · doi:10.1016/j.cogsys.2018.12.017 · Cited by 68

The Relationship between Calcium Retention and Body Stores of Calcium in the Rat: Effect of Age and of Vitamin D

Henry, K. M., & Kon, S. K. (1953) · British Journal Of Nutrition · doi:10.1079/bjn19530017 · Cited by 68

R.A. Fischer, statistical methods for research workers, first edition (1925)

Edwards, A. W. F. (2005) · Elsevier eBooks · doi:10.1016/b978-044450871-3/50148-0 · Cited by 67

Comparisons of the percentage points of distributions with the same first four moments, chosen from eight different systems of frequency curves

Pearson, E. S., Johnson, N. L., & Burr, I. W. (1979) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610917908812115 · Cited by 67

A Commentary on Statistical Assessment of Violence Recidivism Risk

Imrey, P. B., & Dawid, A. P. (2015) · Statistics and Public Policy · doi:10.1080/2330443x.2015.1029338 · Cited by 66

A comprehensive tool for measuring mammographic density changes over time

Eriksson, M., Li, J., Leifland, K., Czene, K., & Hall, P. N. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4690-5 · Cited by 65

Developing and evaluating a BCI video game for neurofeedback training: the case of autism

Mercado, J., Espinosa‐Curiel, I. E., Escobedo, L., & Tentori, M. E. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6916-2 · Cited by 68

Management and care of patients undergoing total knee arthroplasty: Variations across different health care settings

Lingard, E. A., Berven, S., Katz, J. N., & Kinemax Outcomes Group (2000) · Arthritis & Rheumatism · doi:10.1002/1529-0131(200006)13:3 · Cited by 98

Holocaust concentration camp memorial sites: an exploratory study into expected emotional response

Nawijn, J., Isaac, R. K., Gridnevskiy, K., & van Liempt, A. (2015) · Current Issues in Tourism · doi:10.1080/13683500.2015.1058343 · Cited by 77

Enteric bacterial concentrations in reservoir feeder streams: baseflow characteristics and response to hydrograph events

McDonald, A., & Kay, D. (1981) · Water Research · doi:10.1016/0043-1354(81)90203-7 · Cited by 64

Predictive scaling laws for spherical rotating dynamos

Oruba, L., & Dormy, E. (2014) · Geophysical Journal International · doi:10.1093/gji/ggu159 · Cited by 63

Longitudinal Forced Vital Capacity Monitoring as a Prognostic Adjunct after Lung Transplantation

Belloli, E. A., Wang, X., Murray, S., Forrester, G., Weyhing, A., Lin, J., Ojo, T., & Lama, V. N. (2015) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201501-0174oc · Cited by 62

The AB/BA crossover: past, present and future?

Senn, S. J. (1994) · Statistical Methods in Medical Research · doi:10.1177/096228029400300402 · Cited by 63

“STUDENT”

Fisher, R. A. (1939) · Annals of Eugenics · doi:10.1111/j.1469-1809.1939.tb02192.x · Cited by 63

EXONEST: BAYESIAN MODEL SELECTION APPLIED TO THE DETECTION AND CHARACTERIZATION OF EXOPLANETS VIA PHOTOMETRIC VARIATIONS

Placek, B., Knuth, K. H., & Angerhausen, D. (2014) · The Astrophysical Journal · doi:10.1088/0004-637x/795/2/112 · Cited by 61

Depth of bacterial invasion in resected intestinal tissue predicts mortality in surgical necrotizing enterocolitis

Remon, J. I., Amin, S. C., Mehendale, S. R., Rao, R., Luciano, A. A., Garzon, S. A., & Maheshwari, A. (2015) · Journal of Perinatology · doi:10.1038/jp.2015.51 · Cited by 61

Grain-resolved elastic strains in deformed copper measured by three-dimensional X-ray diffraction

Oddershede, J., Schmidt, S., Poulsen, H. F., Margulies, L., Wright, J. P., Moscicki, M., Reimers, W., & Winther, G. (2011) · Materials Characterization · doi:10.1016/j.matchar.2011.04.020 · Cited by 61

Optimization of width parameters for quantum dynamics with frozen Gaussian basis sets

Thompson, A. L., Punwong, C., & Martı́nez, T. J. (2010) · Chemical Physics · doi:10.1016/j.chemphys.2010.03.020 · Cited by 61

.05: A Case of the Tail Wagging the Distribution

Sauley, K. S., & Bedeian, A. G. (1989) · Journal of Management · doi:10.1177/014920638901500209 · Cited by 61

Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)

Boussaïd, I., Chatterjee, A., Siarry, P., & Ahmed‐Nacer, M. (2010) · Computers & Operations Research · doi:10.1016/j.cor.2010.11.004 · Cited by 60

Interpreting statistical testing: Process and propensity, not population and random sampling

Frick, R. W. (1998) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200686 · Cited by 60

Selection of characteristic values and partial factors in geotechnical designs to Eurocode 7

Orr, T. L. L. (2000) · Computers and Geotechnics · doi:10.1016/s0266-352x(99)00042-7 · Cited by 60

Empirical investigation towards the effectiveness of Test First programming

Huang, L., & Holcombe, M. (2008) · Information and Software Technology · doi:10.1016/j.infsof.2008.03.007 · Cited by 59

Comparison of the Saturated Salt Solution and the Dynamic Vapor Sorption techniques based on the measured sorption isotherm of barley straw

Bui, R., Labat, M., & Aubert, J. (2017) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2017.03.005 · Cited by 58

Challenging Sinusoidal Ripple-Current Charging of Lithium-Ion Batteries

Bessman, A., Soares, R., Vadivelu, S., Wallmark, O., Svens, P. I., Ekström, H., & Lindbergh, G. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2772160 · Cited by 59

Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey

Liu, L., Chen, X., Petinrin, O. O., Zhang, W., Rahaman, S., Tang, Z., & Wong, K. (2021) · Life · doi:10.3390/life11070638 · Cited by 62

Health-related quality of life and tuberculosis: a longitudinal cohort study

Bauer, M., Ahmed, S., Benedetti, A., Greenaway, C. A., Lalli, M., Leavens, A., Menzies, D., Vadeboncoeur, C., Vissandjée, B., Wynne, A., et al. (2015) · Health and Quality of Life Outcomes · doi:10.1186/s12955-015-0250-4 · Cited by 58

Similar but Different: Dynamic Social Network Analysis Highlights Fundamental Differences between the Fission-Fusion Societies of Two Equid Species, the Onager and Grevy’s Zebra

Rubenstein, D. I., Sundaresan, S. R., Fischhoff, I. R., Tantipathananandh, C., & Berger-Wolf, T. Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138645 · Cited by 57

Computational and Experimental Evidence for the Evolution of a (βα)8-Barrel Protein from an Ancestral Quarter-Barrel Stabilised by Disulfide Bonds

Richter, M., Bosnali, M., Carstensen, L., Seitz, T., Durchschlag, H., Blanquart, S., Merkl, R., & Sterner, R. (2010) · Journal of Molecular Biology · doi:10.1016/j.jmb.2010.03.057 · Cited by 58

The effect of drought on dissolved organic carbon (DOC) release from peatland soil and vegetation sources

Ritson, J. P., Brazier, R. E., Graham, N. J. D., Freeman, C., Templeton, M. R., & Clark, J. M. (2017) · Biogeosciences · doi:10.5194/bg-14-2891-2017 · Cited by 66

Unstable angina pectoris: National cooperative study group to compare surgical and medical therapy

Russell, R. O., Moraski, R. E., Kouchoukos, N. T., Karp, R. B., Mantle, J. A., Rogers, W. J., Rackley, C. E., Resnekov, L., Falicov, R. E., Al‐Sadir, J., et al. (1980) · The American Journal of Cardiology · doi:10.1016/0002-9149(80)90127-7 · Cited by 58

Use of the Analysis of the Volatile Faecal Metabolome in Screening for Colorectal Cancer

Batty, C. A., Cauchi, M., Lourenco, C. M., Hunter, J. O., & Turner, C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130301 · Cited by 60

Traumatic spinal cord injury and concomitant brain injury: a cohort study

Hagen, E. M., Eide, G. E., Rekand, T., Gilhus, N. E., & Grønning, M. (2010) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.2010.01376.x · Cited by 57

Short-Cut Multiple Comparisons for Balanced Single and Double Classifications: Part 1, Results

Kurtz, T., Link, R. F., Tukey, J. W., & Wallace, D. L. (1965) · Technometrics · doi:10.1080/00401706.1965.10490245 · Cited by 56

RELATION OF BLOOD-COAGULATION TO LIPÆMIA

O’Brien, J. R. (1955) · The Lancet · doi:10.1016/s0140-6736(55)92257-1 · Cited by 56

Management of brain metastasis with magnetic resonance imaging and stereotactic irradiation attenuated benefits of prophylactic cranial irradiation in patients with limited-stage small cell lung cancer

Ozawa, Y., Omae, M., Fujii, M., Matsui, T., Kato, M., Sagisaka, S., Asada, K., Karayama, M., Shirai, T., Yasuda, K., et al. (2015) · BMC Cancer · doi:10.1186/s12885-015-1593-2 · Cited by 55

Randomization Does Not Help Much, Comparability Does

Saint‐Mont, U. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132102 · Cited by 55

Confidence bounds of recurrence-based complexity measures

Schinkel, S., Marwan, N., Dimigen, O., & Kurths, J. (2009) · Physics Letters A · doi:10.1016/j.physleta.2009.04.045 · Cited by 55

CORP: Minimizing the chances of false positives and false negatives

Curran‐Everett, D. (2016) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00937.2016 · Cited by 54

Spatiotemporal statistical analysis of the Urban Heat Island effect in a Mediterranean region

Jato‐Espino, D. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101427 · Cited by 55

Rainfall variability and trends of the past six decades (1950–2014) in the subtropical NW Argentine Andes

Castino, F., Bookhagen, B., & Strecker, M. R. (2017) · Climate Dynamics · doi:10.1007/s00382-016-3127-2 · Cited by 49

On an Application of the Student Distribution in the Theory of Probability and Mathematical Statistics

Bening, V. E., & Korolev, V. Y. (2005) · Theory of Probability and Its Applications · doi:10.1137/s0040585x97981159 · Cited by 54

Confidence limits, error bars and method comparison in molecular modeling. Part 2: comparing methods

Nicholls, A. O. (2016) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-016-9904-5 · Cited by 54

On the Probable Error of Mean-Square Contingency

BLAKEMAN, J., & Pearson, K. (1906) · Biometrika · doi:10.2307/2331660 · Cited by 2

ON THE PROBABLE ERROR OF BISERIAL

Pearson, K. (1917) · Biometrika · doi:10.1093/biomet/11.4.292

The Law of Error.

E., W. P., Edgeworth, F. Y., & Charlier, C. V. L. (1906) · Biometrika · doi:10.2307/2331663 · Cited by 2

TABLES FOR FACILITATING THE COMPUTATION OF PROBABLE ERRORS

GIBSON, W. (1906) · Biometrika · doi:10.1093/biomet/4.4.385 · Cited by 2

On Certain Points Concerning the Probable Error of the Standard Deviation

Pearl, R. (1908) · Biometrika · doi:10.2307/2331564 · Cited by 1