Cited by 408Statistical Methods and ApplicationsStatistical Methods and Bayesian InferenceAdvanced Statistical Methods and Models

The DOI matches its Crossref record.

Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

Wilcox, Rand R.·2010·Springer eBooks

DOI 10.1007/978-1-4419-5525-8

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1007/978-1-4419-5525-8

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Sorted by citations

Items 101–200 of 408

Nearest Neighbour Propensity Score Matching and Bootstrapping for Estimating Binary Patient Response in Oncology: A Monte Carlo Simulation
Geldof, T., Popovic, D. D., Damme, N. V., Huys, I., & Dyck, W. V. (2020) · Scientific Reports · doi:10.1038/s41598-020-57799-w · Cited by 46
Measures of Central Tendency
Clark-Carter, D. D. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-044894-7.01343-9 · Cited by 42
Linking Global Changes of Snowfall and Wet-Bulb Temperature
Tamang, S. K., Ebtehaj, A. M., Prein, A. F., & Heymsfield, A. J. (2019) · Journal of Climate · doi:10.1175/jcli-d-19-0254.1 · Cited by 40
Changing characteristics of precipitation for the contiguous United States
Wu, S. (2015) · Climatic Change · doi:10.1007/s10584-015-1453-8 · Cited by 42
The effectiveness of daily SMS reminders in pharmaceutical care of older adults on improving patients’ adherence to antihypertensive medication (SPPA): study protocol for a randomized controlled trial
Haramiova, Z., Stasko, M., Hulín, M., Tesař, T., Kuželová, M., & Morisky, D. (2017) · Trials · doi:10.1186/s13063-017-2063-8 · Cited by 37
Increasing self-other bodily overlap increases sensorimotor resonance to others’ pain
Riečanský, I., Lengersdorff, L., Pfabigan, D. M., & Lamm, C. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00724-0 · Cited by 40
Automatic frequency restoration reserve market prediction: Methodology and comparison of various approaches
Merten, M., Rücker, F., Schoeneberger, I., & Sauer, D. U. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.114978 · Cited by 40
Impact of point-of-purchase olfactory cues on purchase behavior
Kivioja, K. (2017) · Journal of Consumer Marketing · doi:10.1108/jcm-08-2015-1506 · Cited by 39
Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit
Li, S., Wang, G., Zhu, C., Lu, J., Ullah, W., Hagan, D. F. T., Kattel, G., Liu, Y., Zhang, Z., Song, Y., et al. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129292 · Cited by 41
Hydrogeomorphic indicators of wetland health inferred from multi-temporal remote sensing data for a new Ramsar site (Kaabar Tal), India
Singh, M. N., & Sinha, R. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.107739 · Cited by 38
Interval estimates of weighted effect sizes in the one‐way heteroscedastic ANOVA
Kulinskaya, E., & Staudte, R. G. (2006) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711005x68174 · Cited by 38
“Simulation studies by Tan and Tabatabai (1986) and Wilcox (see references in Wilcox, 1998, 2001) demonstrate that robust estimators are needed and useful in this context.”
Background
Análise neuropsicológica de distúrbios cognitivos em pacientes com fibromialgia, artrite reumatoide e lúpus eritematoso sistêmico
de Melo, L. F., & Da-Silva, S. L. (2012) · Revista Brasileira de Reumatologia · doi:10.1590/s0482-50042012000200003 · Cited by 37
Is the Ocean Speeding Up? Ocean Surface Energy Trends
Wunsch, C. I. (2020) · Journal of Physical Oceanography · doi:10.1175/jpo-d-20-0082.1 · Cited by 34
“By running a 400-member bootstrap sample ensemble (Wilcox 2010) the distribution displayed in Fig.”
Method
Changes of extreme high temperature and heavy precipitation in the Guangdong-Hong Kong-Macao Greater Bay Area
Wang, Y., Han, Z., & Rong, G. (2021) · Geomatics Natural Hazards and Risk · doi:10.1080/19475705.2021.1912834 · Cited by 41
A Systems Immunology Approach to the Host-Tumor Interaction: Large-Scale Patterns of Natural Autoantibodies Distinguish Healthy and Tumor-Bearing Mice
Merbl, Y., Itzchak, R., Vider‐Shalit, T., Louzoun, Y., Quintana, F. J., Vadai, E., Eisenbach, L., & Cohen, I. R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006053 · Cited by 35
Magnetic field power spectra and magnetic radial diffusion coefficients using CRRES magnetometer data
Ali, A. F., Elkington, S. R., Tu, W., et al. (2015) · Journal of Geophysical Research Space Physics · doi:10.1002/2014ja020419 · Cited by 34
“This method can be significantly more accurate in the case of skewed or heteroscedastic data [Wilcox, 1998a, 1998b, 2001].”
Method
Self-Monitoring Interventions for Students with ASD: a Meta-analysis of School-Based Research
Davis, J. L., Mason, B. A., Davis, H. S., Mason, R. A., & Crutchfield, S. A. (2016) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-016-0076-y · Cited by 35
Extending Steinberg's adolescent model of risk taking to the explanation of crime and delinquency: Are impulsivity and sensation seeking enough?
Armstrong, T. A., Boisvert, D. L., Wells, J., & Lewis, R. H. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110133 · Cited by 32
Persistent norms and tipping points: The case of female genital cutting
Novak, L. (2020) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2020.05.016 · Cited by 34
Effects of Pruning and Cluster Thinning on Yield and Fruit Composition of `Chambourcin' Grapevines
Kurtural, S. K., Dami, I., & Taylor, B. H. (2006) · HortTechnology · doi:10.21273/horttech.16.2.0233 · Cited by 34
Mapping the forest disturbance regimes of EuropePreprint
Senf, C., & Seidl, R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.30.015875 · Cited by 34
Responses of medium- and large-sized bird diversity to irrigation in dry cereal agroecosystems across spatial scales
de Frutos, Á., Olea, P. P., & Mateo‐Tomás, P. (2015) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2015.04.009 · Cited by 33
Fitting data to model: Structural equation modeling diagnosis using two scatter plots.
Yuan, K., & Hayashi, K. (2010) · Psychological Methods · doi:10.1037/a0020140 · Cited by 33
Basic statistical considerations for physiology: The journal Temperature toolbox
Caldwell, A. R., & Cheuvront, S. N. (2019) · Temperature · doi:10.1080/23328940.2019.1624131 · Cited by 37
Secular trends in water properties at Station P in the northeast Pacific: An updated analysis
Cummins, P. F., & Ross, T. (2020) · Progress In Oceanography · doi:10.1016/j.pocean.2020.102329 · Cited by 34
Effect of castration and age at slaughter on sensory perception of lamb meat
Gkarane, V., Allen, P. D., Gravador, R. S., Diskin, M. G., Claffey, N. A., Fahey, A. G., Brunton, N. P., Farmer, L. J., MOLONEY, A. P., & Monahan, F. J. (2017) · Small Ruminant Research · doi:10.1016/j.smallrumres.2017.10.011 · Cited by 32
Amplitude of muscle stretch modulates corticomotor gain during passive movement
Coxon, J. P., Stinear, J. W., & Byblow, W. D. (2004) · Brain Research · doi:10.1016/j.brainres.2004.10.062 · Cited by 31
Dietary Choline Deprivation Impairs Rat Brain Mitochondrial Function and Behavioral Phenotype
Pacelli, C., Coluccia, A. M. L., Grattagliano, I., Cocco, T., Petrosillo, G., Paradies, G., Nitto, E. D., Massaro, A., Persichella, M., Borracci, P., et al. (2010) · Journal of Nutrition · doi:10.3945/jn.109.116673 · Cited by 31
A Simple Method to Control Positive Baseline Trend Within Data Nonoverlap
Parker, R. I., Vannest, K. J., & Davis, J. L. (2012) · The Journal of Special Education · doi:10.1177/0022466912456430 · Cited by 31
Agency modulates interactions with automation technologies
Goff, K. L., Rey, A., Haggard, P., Oullier, O., & Berberian, B. (2018) · Ergonomics · doi:10.1080/00140139.2018.1468493 · Cited by 29
Dynamics of attentional bias for food in adults, children, and restrained eaters
Liu, Y., Roefs, A., Werthmann, J., & Nederkoorn, C. (2019) · Appetite · doi:10.1016/j.appet.2019.01.004 · Cited by 30
Inflation of type I error rates by unequal variancesassociated with parametric, nonparametric, andRank-Transformation Tests
Zimmerman, D. W. (2004) · Psicologica · Cited by 30
Anatomy-based algorithms for detecting oral cancer using reflectance and fluorescence spectroscopy.
McGee, S., Mardirossian, V. A., Elackattu, A. P., et al. (2009) · PubMed · Cited by 29
Resource Utilization in Non-Academic Emergency Departments with Advanced Practice Providers
Aledhaim, A., Walker, A., Vesselinov, R. M., et al. (2019) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2019.5.42465 · Cited by 28
An exploratory analysis of testosterone, cortisol, and aggressive behavior type in men and women
Armstrong, T. A., Wells, J., Boisvert, D. L., Lewis, R. H., Cooke, E. M., Woeckener, M., & Kavish, N. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108073 · Cited by 27
Positive relationship between odor identification and affective responses of negatively valenced odors
Nováková, L. M., PlotÄ›nÃ¡, D., Roberts, S. C., & Havlı́ček, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00607 · Cited by 29
Integrating Attachment and Depression in the Confluence Model of Sexual Assault Perpetration
Nguyen, D., & Parkhill, M. R. (2014) · Violence Against Women · doi:10.1177/1077801214546233 · Cited by 28
Time Series Analysis of MODIS-Derived NDVI for the Hluhluwe-iMfolozi Park, South Africa: Impact of Recent Intense DroughtPreprint
Mbatha, N., & Xulu, S. (2018) · Preprints.org · doi:10.20944/preprints201809.0522.v1 · Cited by 28
A Simulation Based Comparison of Correlation Coefficients with Regard to Type I Error Rate and Power
Tuğran, E., Koçak, M. Ç., Mirtagioğlu, H., Yiğit, S., & Mendeş, M. (2015) · Journal of Data Analysis and Information Processing · doi:10.4236/jdaip.2015.33010 · Cited by 27
Filipino Women’s Preferences for Male Voice Pitch: Intra-Individual, Life History, and Hormonal Predictors
Shirazi, T. N., Puts, D. A., & Escasa-Dorne, M. J. (2018) · Adaptive Human Behavior and Physiology · doi:10.1007/s40750-018-0087-2 · Cited by 26
Testosterone, cortisol, and criminal behavior in men and women
Armstrong, T. A., Boisvert, D. L., Wells, J., Lewis, R. H., Cooke, E. M., Woeckener, M., Kavish, N., Vietto, N., & Harper, J. M. (2022) · Hormones and Behavior · doi:10.1016/j.yhbeh.2022.105260 · Cited by 30
Reliability-driven time-of-use tariffs for efficient plug-in electric vehicle integration
Almutairi, A., & Aljohani, T. M. (2024) · Sustainable Cities and Society · doi:10.1016/j.scs.2024.105463 · Cited by 26
Creating positive out-group attitudes through intergroup couple friendships and implications for compassionate love
Welker, K. M., Slatcher, R. B., Baker, L., & Aron, A. P. (2014) · Journal of Social and Personal Relationships · doi:10.1177/0265407514522369 · Cited by 27
New Methods for Comparing Groups
Wilcox, R. R. (2005) · Current Directions in Psychological Science · doi:10.1111/j.0963-7214.2005.00379.x · Cited by 26
Self-citation
Analysis of Type I Error Rates of Univariate and Multivariate Procedures in Repeated Measures Designs
Livacic-Rojas, P. E., Vallejo, G., & Fernández, P. (2010) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610910903548952 · Cited by 25
Training voluntary motor suppression with real-time feedback of motor evoked potentials
Majid, D. S. A., Lewis, C., & Aron, A. R. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00992.2014 · Cited by 23
Time domain baroreflex sensitivity assessment by joint analysis of spontaneous SBP and RR series
Gouveia, S., Rocha, A. P., Laguna, P., et al. (2009) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2009.03.003 · Cited by 25
TRANSIT: a GIS toolbox for estimating the duration of ancient sail-powered navigation
Alberti, G. (2018) · Cartography and Geographic Information Science · doi:10.1080/15230406.2017.1403376 · Cited by 22
Median Chebyshev spectroscopy of electrochemical noise
Grafov, B. M., Dobrovol’skii, Y. A., Klyuev, A. L., et al. (2016) · Journal of Solid State Electrochemistry · doi:10.1007/s10008-016-3395-0 · Cited by 24
Error outlier with weighted Median Absolute Deviation threshold algorithm and FBG sensor based impact localization on composite wing structure
Shrestha, P., Park, Y., Kwon, H., et al. (2017) · Composite Structures · doi:10.1016/j.compstruct.2017.07.094 · Cited by 24
Our statistical intuitions may be misleading us: Why we need robust statistics
Larson‐Hall, J. (2011) · Language Teaching · doi:10.1017/s0261444811000127 · Cited by 27
Drip irrigation uptake in traditional irrigated fields: The edaphological impact
Puy, A., Avilés, J. M. G., Balbo, A. L., Keller, M., Riedesel, S., Blum, D., & Bubenzer, O. (2016) · Journal of Environmental Management · doi:10.1016/j.jenvman.2016.07.017 · Cited by 23
Empirical evaluations on the cost-effectiveness of state-based testing: An industrial case study
Holt, N. E., Briand, L., & Torkar, R. (2014) · Information and Software Technology · doi:10.1016/j.infsof.2014.02.011 · Cited by 22
Cutaneous anesthesia of the forearm enhances sensorimotor function of the hand
Petoe, M. A., Jaque, F. A. M., Byblow, W. D., et al. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00813.2012 · Cited by 22
Astrometric calibration for all-sky cameras revisited
Barghini, D., Gardiol, D., Carbognani, A., et al. (2019) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201935580 · Cited by 22
Tongue-Strengthening Exercises in Healthy Older Adults: Effect of Exercise Frequency – A Randomized Trial
den Steen, L. V., Bodt, M. S. D., Guns, C., Elen, R., Vanderwegen, J., & Nuffelen, G. V. (2020) · Folia Phoniatrica et Logopaedica · doi:10.1159/000505153 · Cited by 21
Revealing the Concealed Effect of Top Earnings on the Gender Gap in the Economic Value of Higher Education in the United States, 1980–2017
Mandel, H., & Rotman, A. (2021) · Demography · doi:10.1215/00703370-9009367 · Cited by 22
“In large sam ples, such as the CPS sam ples used in this study, the regres sion model’s nor mal ity assump tion is not vio lated, even when the dis tri bu tion of the depen dent var i able is skewed (Lumley et al. 2002; Wilcox 2010).”
Method
Impacts of longleaf pine (Pinus palustris Mill.) on long-term hydrology at the watershed scale
Younger, S. E., Cannon, J. B., & Brantley, S. T. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165999 · Cited by 23
Machinability evaluation and screening of leaded and lead-free brasses using a non-linear robust multifactorial profiler
Toulfatzis, A. I., Pantazopoulos, G., Besseris, G. J., et al. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-016-8435-5 · Cited by 21
STATSLAB: An open-source EEG toolbox for computing single-subject effects using robust statistics
Campopiano, A., van Noordt, S. J. R., & Segalowitz, S. J. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.03.025 · Cited by 21
Demography in the Big Data Revolution: Changing the Culture to Forge New Frontiers
Bohon, S. A. (2018) · Population Research and Policy Review · doi:10.1007/s11113-018-9464-6 · Cited by 24
The Impact of European Union Emissions Trading Scheme (EU ETS) National Allocation Plans (NAP) on Carbon Markets
Andrew Lepone, B., Rahman, R. T., & Yang, J. Y. (2011) · Low Carbon Economy · doi:10.4236/lce.2011.22011 · Cited by 22
Experimental analysis of using examples and non-examples in safety training
Taylor, M., Wirth, O., Olvina, M., & Alvero, A. M. (2016) · Journal of Safety Research · doi:10.1016/j.jsr.2016.10.002 · Cited by 20
Equity Value as a Function of (eps1, eps2, dps1, bvps, beta): Concepts and Realities
Ohlson, J. A., & Johannesson, E. (2016) · Abacus · doi:10.1111/abac.12065 · Cited by 20
Survey-based inventory for atmospheric emissions from residential combustion in Vietnam
Huy, L. N., Oanh, N. T. K., Phuc, N. H., et al. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-11067-6 · Cited by 19
Challenges for a broadband service strategy in rural areas: A Romanian case study
Puşchiţă, E., Constantinescu-Dobra, A., Colda, R., et al. (2013) · Telecommunications Policy · doi:10.1016/j.telpol.2013.08.001 · Cited by 19
The impact of meteorological conditions on snow and ice thickness in an Arctic lake
Wei, L., Deng, X., Cheng, B., et al. (2016) · Tellus A Dynamic Meteorology and Oceanography · doi:10.3402/tellusa.v68.31590 · Cited by 18
What drove the nonlinear hypoxia response to nutrient loading in Chesapeake Bay during the 20th century?
Ni, W., & Li, M. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.160650 · Cited by 19
Assessment of a groundwater contamination with vinyl chloride (VC) and precursor volatile organic compounds (VOC) by use of a geographical information system (GIS)
Kistemann, T., Hundhausen, J., Herbst, S., et al. (2007) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2007.02.011 · Cited by 18
Psychosocial stress based on public speech in humans: is there a real life/laboratory setting cross-adaptation?
Ježová, D., Hlaváčová, N., Dicko, I., Soláriková, P., & Brezina, I. (2016) · Stress · doi:10.1080/10253890.2016.1203416 · Cited by 18
Testosterone reactivity to infant crying and caregiving in women: The role of oral contraceptives and basal cortisol
Voorthuis, A., Bakermans‐Kranenburg, M. J., & van IJzendoorn, M. H. (2017) · Infant Behavior and Development · doi:10.1016/j.infbeh.2017.08.002 · Cited by 18
Investigating the Moderating Effects of Perceived Technological Change on Sales Force Acceptance
Obal, M. W., & Morgan, T. A. (2018) · Journal of Business-to-Business Marketing · doi:10.1080/1051712x.2018.1519971 · Cited by 18
“This method is useful as the bootstrap confidence intervals of the unstandardized coefficients can be used as an alternative test of our hypotheses (Wilcox 2010).”
Method
Economic assessment of a high-dose versus a standard-dose influenza vaccine in the US Veteran population: Estimating the impact on hospitalization cost for cardio-respiratory disease
van Aalst, R., Russo, E. M., Neupane, N., Mahmud, S. M., Mor, V., Wilschut, J., Chit, A., Postma, M. J., & Young‐Xu, Y. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.06.066 · Cited by 18
Developing and validating a new multi‐dimensional scale for anti‐social behavior in a higher education setting
Mahmoud, A. B., Hack‐Polay, D., Fuxman, L., Massetti, B., & Samarh, A. Z. A. (2020) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12635 · Cited by 18
Effects of Balanced Pruning Severity on Traminette (Vitisspp.) in a Warm Climate
O’Daniel, S. B., Archbold, D. D., & Kurtural, S. K. (2012) · American Journal of Enology and Viticulture · doi:10.5344/ajev.2012.11056 · Cited by 18
Pivotal role of snow depth, local atmospheric conditions, and large-scale climate signals on ice thinning in Finnish lakes
Naderian, D., Noori, R., Bateni, S. M., et al. (2025) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2025.178715 · Cited by 17
Robust analysis of the central tendency, simple and multiple regression and ANOVA: a step by step tutorial.
Courvoisier, D. S., & Renaud, O. (2010) · International journal of psychological research · doi:10.21500/20112084.849 · Cited by 17
Library resources, student success and the distance-learning university
Nurse, R., Baker, K., & Gambles, A. (2018) · Information and Learning Sciences · doi:10.1108/ils-03-2017-0022 · Cited by 17
Combining population-based administrative health records and electronic medical records for disease surveillance
Al-Azazi, S., Singer, A., Rabbani, R., & Lix, L. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0845-5 · Cited by 9
About applying linear structural method on ocean data: Adjustment of satellite wave data
Soukissian, T., & Kechris, C. (2006) · Ocean Engineering · doi:10.1016/j.oceaneng.2006.04.002 · Cited by 16
Association between fetal sex and maternal plasma microRNA responses to prenatal alcohol exposure: evidence from a birth outcome-stratified cohort
Salem, N. A., Mahnke, A. H., Wells, A., Tseng, A. M., Yevtushok, L., Zymak‐Zakutnya, N., Wertlecki, W., Chambers, C., Miranda, R. C., & (CIFASD), C. I. O. F. A. S. D. (2020) · Biology of Sex Differences · doi:10.1186/s13293-020-00327-2 · Cited by 17
Temporal and spatial analyses on seismo-electric anomalies associated with the 27 February 2010 M = 8.8 Chile earthquake observed by DEMETER satellite
Ho, Y., Liu, J., Parrot, M., et al. (2013) · Natural hazards and earth system sciences · doi:10.5194/nhess-13-3281-2013 · Cited by 16
How different visualizations affect human reasoning about uncertainty: An analysis of visual behaviour
Reani, M., Peek, N., & Jay, C. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.10.033 · Cited by 14
A Family of Generalised Beta Distributions: Properties and Applications
Gómez–Déniz, E., & Sarabia, J. M. (2018) · Annals of Data Science · doi:10.1007/s40745-018-0143-6 · Cited by 15
Cómo elegir la mejor prueba estadística para analizar un diseño de medidas repetidas
Fernández, P., Livacic-Rojas, P. E., & Vallejo, G. (2007) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 15
An investigation of the effects of n-gram length in scanpath analysis for eye-tracking research
Reani, M., Peek, N. B., & Jay, C. (2018) · ACM Symposium on Eye Tracking Research & Applications (ETRA) · doi:10.1145/3204493.3204527 · Cited by 15
Using clausal embedding to identify language impairment in sequential bilinguals
Scheidnes, M., & Tuller, L. (2018) · Bilingualism Language and Cognition · doi:10.1017/s1366728918000949 · Cited by 18
“Therefore, robust methods, which include bootstrapping and trimmed means, were adopted for statistical analyses (see for example, Wilcox, 2003, 2005, 2010).”
Method
A decade of flowering phenology of the keystone saguaro cactus (Carnegiea gigantea)
Renzi, J. J., Peachey, W. D., & Gerst, K. L. (2019) · American Journal of Botany · doi:10.1002/ajb2.1231 · Cited by 14
Adaptive statistics in Oracle 12c
Chakkappen, S., Budalakoti, S., Krishnamachari, R., et al. (2017) · Proceedings of the VLDB Endowment · doi:10.14778/3137765.3137785 · Cited by 15
Converging electrophysiological evidence for a processing advantage of social over nonsocial feedback
Pfabigan, D. M., & Han, S. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00737-9 · Cited by 17
“As noted by Keselman, Wilcox, & Lix (2003) and Wilcox (2010), including outlier values in analyses violates assumptions of general linear model estimations and should thus be avoided.”
Background
A Comparison of the Bootstrap-F, Improved General Approximation, and Brown-Forsythe Multivariate Approaches in a Mixed Repeated Measures Design
Vallejo, G., Izquierdo, M. C., Fernández, P., & Díez, F. J. H. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164404273943 · Cited by 15
Using Students as Experimental Subjects in Software Engineering Research -- A Review and Discussion of the EvidencePreprint
Feitelson, D. G. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1512.08409 · Cited by 14
Hemispheric asymmetries in auditory temporal integration: A study of event-related potentials
Clunies‐Ross, K. L., Brydges, C. R., Nguyen, A. T., et al. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.01.018 · Cited by 14
Multi-task learning for virtual flow metering
Sandnes, A. T., Grimstad, B., & Kolbjørnsen, O. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107458 · Cited by 14
Enclosure shape influences cue competition effects and goal location learning
Wilson, P. N., & Alexander, T. (2010) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210903428761 · Cited by 14
Motivational interviewing and recovery: experiences of hope, meaning, and empowerment
Glassman, S. D., Kottsieper, P., Zuckoff, A., & Gosch, E. A. (2013) · Advances in Dual Diagnosis · doi:10.1108/add-04-2013-0011 · Cited by 14
Why three heads are a better bet than four: A reply to Sun, Tweney, and Wang (2010).
Hahn, U., & Warren, P. A. (2010) · Psychological Review · doi:10.1037/a0019037 · Cited by 14
Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE
Mählitz, P., Korf, N., Sperlich, K., et al. (2020) · Recycling · doi:10.3390/recycling5030019 · Cited by 14
How to Conduct and Statistically Analyze Case-Based Time Series Studies, One Patient at a Time
Nash, M. R., Borckardt, J. J., Abbasa, A., & Gray, E. I. (2011) · Journal of Experimental Psychopathology · doi:10.5127/jep.012210 · Cited by 14
Procedimientos estadísticos alternativos para evaluar la robustez mediante diseños de medidas repetidas
Livacic-Rojas, P. E., Vallejo, G., & Fernández, P. (2006) · Dialnet (Universidad de la Rioja) · Cited by 14

Authors: Wilcox, R. R.
Affiliations: University of Southern California (US)
Corresponding author: Wilcox, Rand R.
ORCID: Wilcox, Rand R.
Venue: Springer eBooks
Publisher: Springer New York
Published: 2010
DOI: 10.1007/978-1-4419-5525-8
OpenAlex: W2479960635
Cited by: 404
References: 0
Citations by year: 2026: 15 · 2025: 22 · 2024: 26 · 2023: 27 · 2022: 35 · 2021: 31 · 2020: 27 · 2019: 20 · 2018: 22 · 2017: 22 · 2016: 18 · 2015: 15 · 2014: 13 · 2013: 15 · 2012: 15
FWCI: 5.98
Type: book
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Springer eBooks (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Keywords: group differences, variable relationships, statistical power, hypothesis testing

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

Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cited by

Related

Metadata

Record

About these checks