Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Nutritional and environmental factors influence small mammal seed selection in a northern temperate forest

Moore, N. B., Stephens, R., & Rowe, R. J. (2022) · Ecosphere · doi:10.1002/ecs2.4036 · Cited by 15

Emotion Recognition in Preterm and Full-Term School-Age Children

Longa, L. D., Nosarti, C., & Farroni, T. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19116507 · Cited by 22

Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots

Sarma, A., Guo, S., Hoffswell, J., Rossi, R. A., Du, F., Koh, E., & Kay, M. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209348 · Cited by 17

Model-Based Operative Performance Expectations for Quantifying Competency in General Surgery

Krumm, A. E., Marcotte, K. M., & George, B. C. (2023) · JAMA Surgery · doi:10.1001/jamasurg.2023.0014 · Cited by 20

Reducing bias in experimental ecology through directed acyclic graphs

Arif, S., & Massey, M. D. B. (2023) · Ecology and Evolution · doi:10.1002/ece3.9947 · Cited by 21

Island restoration to rebuild seabird populations and amplify coral reef functioning

Dunn, R. E., Benkwitt, C. E., Olivier, M., Barrier, N., Carr, P., & Graham, N. A. J. (2024) · Conservation Biology · doi:10.1111/cobi.14313 · Cited by 23

The effect of bedrock and species mixture on wood density and radial wood increment in pubescent oak and black pine

Krajnc, L., Hafner, P., & Gričar, J. (2020) · Forest Ecology and Management · doi:10.1016/j.foreco.2020.118753 · Cited by 19

Prevalence of adult sexual abuse in men with mental illness: Bayesian meta-analysis

Zarchev, M. G., Ruijne, R. E., Mulder, C. L., & Kamperman, A. M. (2021) · BJPsych Open · doi:10.1192/bjo.2021.1069 · Cited by 20

Statistical Models for the Analysis of Optimization Algorithms With Benchmark Functions

Mattos, D. I., Bosch, J., & Olsson, H. H. (2021) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2021.3081167 · Cited by 27

Performance of Deaf Participants in an Abstract Visual Grammar Learning Task at Multiple Formal Levels: Evaluating the Auditory Scaffolding Hypothesis

Giustolisi, B., Martin, J. S., Westphal‐Fitch, G., Fitch, W. T., & Cecchetto, C. (2022) · Cognitive Science · doi:10.1111/cogs.13114 · Cited by 18

Local human impacts disrupt depth-dependent zonation of tropical reef fish communities

Richardson, L. E., Heenan, A., Delargy, A. J., Neubauer, P., Lecky, J., Gove, J. M., Green, M., Kindinger, T. L., Ingeman, K. E., & Williams, G. J. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02201-x · Cited by 18

Evidence-base for urban green-blue infrastructure to support insect diversity

Bowler, D. E., Callaghan, C. T., Felappi, J. F., Mason, B. M., Hutchinson, R., Kumar, P., & Jones, L. (2024) · Urban Ecosystems · doi:10.1007/s11252-024-01649-4 · Cited by 20

Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate

FitzJohn, R. G., Knock, E., Whittles, L. K., Perez‐Guzman, P. N., Bhatia, S., Guntoro, F., Watson, O. J., Whittaker, C., Ferguson, N. M., Cori, A., et al. (2021) · Wellcome Open Research · doi:10.12688/wellcomeopenres.16466.2 · Cited by 18

A Bayesian Approach to Inferring Depositional Ages Applied to a Late Tonian Reference Section in Svalbard

Halverson, G. P., Shen, C., Davies, J. H. F. L., & Wu, L. (2022) · Frontiers in Earth Science · doi:10.3389/feart.2022.798739 · Cited by 18

Personality traits of special forces operators: Comparing commandos, candidates, and controls.

Huijzer, R., Jeronimus, B. F., Reehoorn, A., Blaauw, F. J., de Jong, M. B., de Jonge, P., & Hartigh, R. J. R. D. (2022) · Sport Exercise and Performance Psychology · doi:10.1037/spy0000296 · Cited by 19

Rates of ecological knowledge learning in Pemba, Tanzania: Implications for childhood evolution

Pretelli, I., Mulder, M. B., & McElreath, R. L. (2022) · Evolutionary Human Sciences · doi:10.1017/ehs.2022.31 · Cited by 18

No strong evidence for universal gender differences in the development of cooperative behaviour across societies

House, B. R., Silk, J. B., & McAuliffe, K. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0439 · Cited by 19

Height and crown allometries and their relationship with functional traits: An example from a subtropical wet forest

Yang, J., & Swenson, N. G. (2023) · Ecology and Evolution · doi:10.1002/ece3.9804 · Cited by 18

Intelligence at play: game-based assessment using a virtual-reality application

Simons, A., Wohlgenannt, I., Zelt, S., Weinmann, M., Schneider, J., & Brocke, J. V. (2023) · Virtual Reality · doi:10.1007/s10055-023-00752-9 · Cited by 20

Niche breadth of Amazonian trees increases with niche optimum across broad edaphic gradients

Vleminckx, J., Valverde‐Barrantes, O. J., Fortunel, C., Paine, C. E. T., Bauman, D., Engel, J., Pétronelli, P., Dávila, N., Paredes, M. R., Sandoval, E. H. V., et al. (2023) · Ecology · doi:10.1002/ecy.4053 · Cited by 20

Integrating presence‐only and presence–absence data to model changes in species geographic ranges: An example in the Neotropics

Grattarola, F., Bowler, D. E., & Keil, P. (2023) · Journal of Biogeography · doi:10.1111/jbi.14622 · Cited by 21

Bayesian Calibration of MEMS Accelerometers

Dürr, O., Fan, P.-Y., & Yin, Z. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3272907 · Cited by 18

Past, Present, and Future of Complex Systems Theory in Archaeology

Davis, D. S. (2023) · Journal of Archaeological Research · doi:10.1007/s10814-023-09193-z · Cited by 18

The untapped potential of causal inference in cross-modal research

Pan, J., Mahdavi, A., Miño-Rodríguez, I., Martínez-Muñoz, I., Berger, C., & Schweiker, M. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.111074 · Cited by 19

Bridging theory and data: A computational workflow for cultural evolution

Deffner, D., Fedorova, N., Andrews, J. B., & McElreath, R. L. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2322887121 · Cited by 19

Relations Among Low-Income Preschool Children’s Self-Regulation, Marginal Food Security, and Parent Stress

Encinger, A. J., Kutaka, T. S., Chernyavskiy, P., Acar, İ. H., & Raikes, H. H. (2020) · Early Education and Development · doi:10.1080/10409289.2020.1749492 · Cited by 23

Gaining insight into the assimilated diet of small bear populations by stable isotope analysis

Careddu, G., Ciucci, P., Mondovì, S., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-93507-y · Cited by 18

Functional specificity and neural integration in the aesthetic appreciation of artworks with implied motion

Bara, I., Darda, K. M., Kurz, A. S., & Ramsey, R. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15479 · Cited by 17

Big data, computational social science, and other recent innovations in social network analysis

Tindall, D. B., McLevey, J., Koop‐Monteiro, Y., & Graham, A. V. (2022) · Canadian Review of Sociology/Revue canadienne de sociologie · doi:10.1111/cars.12377 · Cited by 21

A Method to Assess and Argue for Practical Significance in Software Engineering

Torkar, R., Furia, C. A., FELDT, R. H., Neto, F. G. D. O., Gren, L., Lenberg, P., & Ernst, N. (2021) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2020.3048991 · Cited by 28

Development of singleton consonants in French-speaking children with typical versus protracted phonological development: The influence of word length, word shape and stress

Bérubé, D., Bernhardt, B. M., Stemberger, J. P., & Ciocca, V. (2020) · International Journal of Speech-Language Pathology · doi:10.1080/17549507.2020.1829706 · Cited by 17

Dysregulation of the secretory pathway connects Alzheimer’s disease genetics to aggregate formation

Kuo, C., Chiang, A. W. T., Baghdassarian, H., & Lewis, N. E. (2021) · Cell Systems · doi:10.1016/j.cels.2021.06.001 · Cited by 19

Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery

Stoll, E., Roopsind, A., Maharaj, G., Velazco, S., & Caughlin, T. T. (2022) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.250 · Cited by 18

Investigating variability in morphological processing with Bayesian distributional models

Ciaccio, L. A., & Veríssimo, J. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-022-02109-w · Cited by 18

The effect of dominance rank on female reproductive success in social mammals

Shivani, Huchard, É., & Lukas, D. (2022) · Peer Community Journal · doi:10.24072/pcjournal.158 · Cited by 19

Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice

Panidi, K., Vorobiova, A. N., Feurra, M., & Klucharev, V. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-18529-6 · Cited by 18

A Bayesian Reanalysis of a Trial of Psilocybin Versus Escitalopram for Depression

Nayak, S. M., Bari, B. A., Yaden, D. B., Spriggs, M. J., Rosas, F. E., Peill, J. M., Giribaldi, B., Erritzøe, D., Nutt, D. J., & Carhart-Harris, R. L. (2022) · Psychedelic Medicine · doi:10.1089/psymed.2022.0002 · Cited by 19

Patterns and controls of aboveground litter inputs to temperate forests

Jevon, F. V., Polussa, A., Lang, A. K., et al. (2022) · Biogeochemistry · doi:10.1007/s10533-022-00988-8 · Cited by 17

BaYaka forager food sharing networks in the Congo Basin: The roles of gender homophily and kin sharing

Gettler, L. T., Redhead, D., Dzabatou, A., & Lew‐Levy, S. (2023) · American Journal of Biological Anthropology · doi:10.1002/ajpa.24688 · Cited by 23

Surprisal From Language Models Can Predict ERPs in Processing Predicate-Argument Structures Only if Enriched by an Agent Preference Principle

Huber, E., Sauppe, S., Isasi-Isasmendi, A., Bornkessel‐Schlesewsky, I., Merlo, P., & Bickel, B. (2023) · Neurobiology of Language · doi:10.1162/nol_a_00121 · Cited by 21

Evidence of direct and indirect reciprocity in network-structured economic games

Redhead, D., Gervais, M. M., Kajokaite, K., Koster, J., Manyoma, A. H., Manyoma, D. H., McElreath, R. L., & Ross, C. T. (2024) · Communications Psychology · doi:10.1038/s44271-024-00098-1 · Cited by 20

Coping with endogeneity and unobserved heterogeneity in real-time clustering critical crash occurrences nested within weather and road surface conditions

Bakhshi, A. K., & Ahmed, M. M. (2021) · International Journal of Injury Control and Safety Promotion · doi:10.1080/17457300.2021.1907595 · Cited by 18

Parasitism and host dispersal plasticity in an aquatic model system

Zilio, G., Nørgaard, L. S., Petrucci, G., et al. (2021) · Journal of Evolutionary Biology · doi:10.1111/jeb.13893 · Cited by 17

The evidence interval and the Bayesian evidence value: On a unified theory for Bayesian hypothesis testing and interval estimation

Kelter, R. (2022) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12267 · Cited by 21

Spatial autocorrelation of local patch extinctions drives recovery dynamics in metacommunities

Saade, C., Kéfi, S., Gougat‐Barbera, C., Rosenbaum, B., & Fronhofer, E. A. (2022) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2022.0543 · Cited by 18

Vegetative phenologies of lianas and trees in two Neotropical forests with contrasting rainfall regimes

Medina‐Vega, J. A., Wright, S. J., Bongers, F., Schnitzer, S. A., & Sterck, F. J. (2022) · New Phytologist · doi:10.1111/nph.18150 · Cited by 17

Simulating the multicausality of Alzheimer's disease with system dynamics

Uleman, J. F., Melis, R. J. F., Ntanasi, E., Scarmeas, N., Hoekstra, A. G., Quax, R., Rikkert, M. G. M. O., & Initiative, T. A. D. N. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12923 · Cited by 19

How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice

Kelter, R. (2021) · Multivariate Behavioral Research · doi:10.1080/00273171.2021.1967716 · Cited by 19

Authoritarianism and Attitudes Toward Welfare Recipients Under Covid-19 Shock

Blanchet, A., & Landry, N. (2021) · Frontiers in Political Science · doi:10.3389/fpos.2021.660881 · Cited by 16

A Method for Identifying Environmental Stimuli and Genes Responsible for Genotype-by-Environment Interactions From a Large-Scale Multi-Environment Data Set

Onogi, A., Sekine, D., Kaga, A., Nakano, S., Yamada, T., Yu, J., & Ninomiya, S. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.803636 · Cited by 16

Before/after Bayes: A comparison of frequentist and Bayesian mixed‐effects models in applied psychological research

Flores, R. D., Sanders, C. A., Duan, S. X., Bishop-Chrzanowski, B. M., Oyler, D. L., Shim, H.-J., Clocksin, H. E., Miller, A. P., & Merkle, E. C. (2022) · British Journal of Psychology · doi:10.1111/bjop.12585 · Cited by 16

Reproductive senescence in polar bears in a variable environment

Naciri, M., Aars, J., Blanchet, M., Giménez, O., & Cubaynes, S. (2022) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2022.920481 · Cited by 17

Selecting relevant moderators with Bayesian regularized meta‐regression

Lissa, C. J. V., van Erp, S., & Clapper, E. (2023) · Research Synthesis Methods · doi:10.1002/jrsm.1628 · Cited by 16

Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds

Hoelzl, C., Arcieri, G., Ancu, L., et al. (2023) · Sensors · doi:10.3390/s23052672 · Cited by 17

Peak height velocity in young athletes: A longitudinal meta-analysis

Lima, A. B., Quinaud, R. T., Gonçalves, C. E., & Carvalho, H. M. (2023) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2203484 · Cited by 21

From specific-source feature-based to common-source score-based likelihood-ratio systems: ranking the stars

Vergeer, P. (2023) · Law Probability and Risk · doi:10.1093/lpr/mgad005 · Cited by 16

Publication bias in psychology: A closer look at the correlation between sample size and effect size

Linden, A. H., Pollet, T. V., & Hönekopp, J. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297075 · Cited by 20

Human land occupation regulates the effect of the climate on the burned area of the Brazilian Cerrado

Segura-Garcia, C., Bauman, D., Arruda, V. L. D. S., Alencar, A. A. C., & Menor, I. O. (2024) · Communications Earth & Environment · doi:10.1038/s43247-024-01521-5 · Cited by 17

Restore: Retrospective Fault Localization Enhancing Automated Program Repair

Xu, T., Chen, L., Pei, Y., Zhang, T. Y., Pan, M., & Furia, C. A. (2020) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2020.2987862 · Cited by 19

fbst: An R package for the Full Bayesian Significance Test for testing a sharp null hypothesis against its alternative via the e value

Kelter, R. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01613-6 · Cited by 17

Identifying and assessing the impact of key neighborhood-level determinants on geographic variation in stroke: a machine learning and multilevel modeling approach

Ji, J., Hu, L., Liu, B., & Li, Y. (2020) · BMC Public Health · doi:10.1186/s12889-020-09766-3 · Cited by 14

Rational Adaptation in Using Conceptual Versus Lexical Information in Adults With Aphasia

Dresang, H. C., Warren, T. C., Hula, W. D., & Dickey, M. W. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.589930 · Cited by 15

On-Farm Trials Reveal Significant but Uncertain Control of Botrytis cinerea by Aureobasidium pullulans and Potassium Bicarbonate in Organic Grapevines

Laurent, A., Makowski, D., Aveline, N., Dupin, S., & Miguez, F. E. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.620786 · Cited by 17

Baseline Energy Use Modeling and Characterization in Tertiary Buildings Using an Interpretable Bayesian Linear Regression Methodology

Grillone, B., Mor, G., Danov, S., et al. (2021) · Energies · doi:10.3390/en14175556 · Cited by 16

Asymmetries in Perceptual Adjustments to Non-Canonical Pronunciations

Babel, M., Johnson, K. A., & Sen, C. (2021) · Laboratory Phonology Journal of the Association for Laboratory Phonology · doi:10.16995/labphon.6442 · Cited by 15

Causal inference in regression: advice to authors

Bulbulia, J. A., Schjoedt, U., Shaver, J. H., Sosis, R. H., & Wildman, W. J. (2021) · Religion Brain & Behavior · doi:10.1080/2153599x.2021.2001259 · Cited by 15

Investigating the role of working memory resources across aesthetic and non-aesthetic judgements

Bara, I., Binney, R. J., & Ramsey, R. (2022) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218221101876 · Cited by 17

The averaging problem on the past null cone in inhomogeneous dust cosmologies

Buchert, T., van Elst, H., & Heinesen, A. (2022) · General Relativity and Gravitation · doi:10.1007/s10714-022-03051-x · Cited by 16

Modelling human and non-human animal network data in R using STRANDPreprint

Ross, C. T., McElreath, R. L., & Redhead, D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.13.491798 · Cited by 13

Curiosity shapes spatial exploration and cognitive map formation in humans

Cen, D., Teichert, E., Hodgetts, C. J., & Gruber, M. J. (2024) · Communications Psychology · doi:10.1038/s44271-024-00174-6 · Cited by 19

The evolution of male–female dominance relations in primate societies

Huchard, É., Kappeler, P. M., Smit, N., Fichtel, C., & Lukas, D. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2500405122 · Cited by 17

Utilization of Eye-Tracking Metrics to Evaluate User Experiences—Technology Description and Preliminary Study

Falkowska, J., Sobecki, J. F., & Falkowski, M. J. (2025) · Sensors · doi:10.3390/s25196101 · Cited by 15

Extracting spatial networks from capture–recapture data reveals individual site fidelity patterns within a marine mammal’s spatial range

Bonnell, T. R., Michaud, R., Dupuch, A., Lesage, V. S., & Chion, C. (2022) · Ecology and Evolution · doi:10.1002/ece3.8616 · Cited by 15

Bayesian adaptive clinical trial designs for respiratory medicine

Ryan, E., Couturier, D., & Heritier, S. R. (2022) · Respirology · doi:10.1111/resp.14337 · Cited by 15

Bayesian inference of real-time dynamics from lattice QCD

Rothkopf, A. (2022) · Frontiers in Physics · doi:10.3389/fphy.2022.1028995 · Cited by 15

Diagnosis of helminths depends on worm fecundity and the distribution of parasites within hosts

Crellen, T., Haswell, M., Sithithaworn, P., et al. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2022.2204 · Cited by 15

Filled Pauses Produced by Autistic Adults Differ in Prosodic Realisation, but not Rate or Lexical Type

Wehrle, S., Grice, M., & Vogeley, K. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-06000-y · Cited by 14

Climate anomalies and neighbourhood crowding interact in shaping tree growth in old‐growth and selectively logged tropical forests

Nemetschek, D., Derroire, G., Marcon, É., Aubry‐Kientz, M., Auer, J., Badouard, V., Baraloto, C., Bauman, D., Blaye, Q. L., Boisseaux, M., et al. (2024) · Journal of Ecology · doi:10.1111/1365-2745.14256 · Cited by 15

Wombat burrows are hotspots for small vertebrates in a landscape subject to gigafire

Linley, G. D., Geary, W. L., Jolly, C. J., Spencer, E. E., Ashman, K., Michael, D., Westaway, D. M., & Nimmo, D. G. (2024) · Journal of Mammalogy · doi:10.1093/jmammal/gyae034 · Cited by 17

Eyes on me: how social media use is associated with urban Chinese adolescents’ concerns about their physical appearance

Jin, R., & Le, T.-T. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1445090 · Cited by 19

A Bayesian Statistics Course for Undergraduates: Bayesian Thinking, Computing, and Research

Hu, J. (2020) · Journal of Statistics Education · doi:10.1080/10691898.2020.1817815 · Cited by 14

Predicting Dissolved Organic Matter Lability and Carbon Accumulation in Temperate Freshwater Ecosystems

Navarro, M. B., Schenone, L., Martyniuk, N., Vega, E., Modenutti, B. E., & Balseiro, E. (2021) · Ecosystems · doi:10.1007/s10021-021-00682-0 · Cited by 15

Low‐density aspen seedling establishment is widespread following recent wildfires in the western United States

Kreider, M. R., & Yocom, L. L. (2021) · Ecology · doi:10.1002/ecy.3436 · Cited by 15

An Extended Admixture Pulse Model Reveals the Limitations to Human–Neandertal Introgression Dating

Iasi, L. N. M., Ringbauer, H., & Peter, B. M. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab210 · Cited by 18

Analysing the distance decay of community similarity in river networks using Bayesian methods

Dias, F. S., Betancourt, M., Rodríguez‐González, P. M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-01149-x · Cited by 15

Decision-theoretic inspection planning using imperfect and incomplete data

Francesco, D. D., Chryssanthopoulos, M. K., Faber, M. H., & Bharadwaj, U. R. (2021) · Data-Centric Engineering · doi:10.1017/dce.2021.18 · Cited by 16

Eavesdropping Micropredators as Dynamic Limiters of Sexual Signal Elaboration and Intrasexual Competition

Leavell, B. C., Beaty, L. E., McNickle, G. G., & Bernal, X. E. (2022) · The American Naturalist · doi:10.1086/718967 · Cited by 15

Estimating global species richness using symbolic data meta‐analysis

Lin, H., Caley, M. J., & Sisson, S. A. (2022) · Ecography · doi:10.1111/ecog.05617 · Cited by 15

Travelling with a parasite: the evolution of resistance and dispersal syndromes during experimental range expansion

Zilio, G., Nørgaard, L. S., Gougat‐Barbera, C., et al. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2022.1966 · Cited by 15

Causal inference concepts can guide research into the effects of climate on infectious diseases

Guevara, L. A. B., Krämer, S., Kurth, T., & de Cellès, M. D. (2024) · Nature Ecology & Evolution · doi:10.1038/s41559-024-02594-3 · Cited by 17

Africans and Europeans differ in their facial perception of dominance and sex-typicality: a multidimensional Bayesian approach

Fiala, V., Tureček, P., Akoko, R. M., Pokorný, Š., & Kleisner, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-10646-6 · Cited by 15

The Dose–Response Relationship Between Training-Load Measures and Changes in Force–Time Components During a Countermovement Jump in Male Academy Soccer Players

Ellis, M., Myers, T., Taylor, R., Morris, R. O., & Akubat, I. (2022) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2022-0107 · Cited by 14

Generative Models: An Interdisciplinary Perspective

Sankaran, K., & Holmes, S. (2022) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-033121-110134 · Cited by 16

A Cross-Sectional Investigation of the Impact of Stuttering on Swedish Females and Males in Childhood, Adolescence, and Young Adulthood

Samson, I., Schalling, E., Herlitz, A., Lindström, E., & Sand, A. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00043 · Cited by 15

Joint estimation of survival and dispersal effectively corrects the permanent emigration bias in mark-recapture analyses

Badia‐Boher, J. A., Real, J. L. P., Riera, J. L., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-32866-0 · Cited by 14

Effect of Norovirus Inoculum Dose on Virus Kinetics, Shedding, and Symptoms

Ge, Y., Billings, W. Z., Opekun, A. R., Estes, M. K., Graham, D. Y., León, J. S., Koelle, K., Shen, Y., Atmar, R. L., Lopman, B. A., et al. (2023) · Emerging infectious diseases · doi:10.3201/eid2907.230117 · Cited by 14

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions

Furia, C. A., Torkar, R., & Feldt, R. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3611667 · Cited by 14

Cavity‐nesting birds are limited by nesting habitat in Neotropical agricultural landscapes

Ke, A., Cedeño, E., Karubian, J. O., Carrasco, L., Castillo, F., Gonzales, N., & Karp, D. S. (2023) · Biotropica · doi:10.1111/btp.13252 · Cited by 17

Phylogenetic meta-analysis reveals system-specific behavioural type–behavioural predictability correlations

Horváth, G., Garamszegi, L., & Herczeg, G. (2023) · Royal Society Open Science · doi:10.1098/rsos.230303 · Cited by 11

A study of documentation for software architecture

Ernst, N., & Robillard, M. P. (2023) · Empirical Software Engineering · doi:10.1007/s10664-023-10347-2 · Cited by 15

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Personality correlates and utilitarian judgments in the everyday context: Psychopathic traits and differential effects of empathy, social dominance orientation, and dehumanization beliefs

Takamatsu, R. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.03.029 · Cited by 22

Amount of altruistic punishment accounts for subsequent emotional gratification in participants with primary psychopathy

Masui, K., Iriguchi, S., Nomura, M., & Ura, M. (2011) · Personality and Individual Differences · doi:10.1016/j.paid.2011.07.006 · Cited by 14

The Information Used to Judge Supportiveness Depends on Whether the Judgment Reflects the Personality of Perceivers, the Objective Characteristics of Targets, or their Unique Relationships

Lakey, B., Lutz, C. J., & Scoboria, A. (2004) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.23.6.817.54806 · Cited by 17

The Mental Representations Of High And Low Entitativity Groups

Johnson, A. L., & Queller, S. (2003) · Social Cognition · doi:10.1521/soco.21.2.101.21316 · Cited by 13