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Systematic review with network meta‐analysis: comparative efficacy and safety of budesonide and mesalazine (mesalamine) for Crohn's disease

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Estimation of daily stream water temperatures with a Bayesian regression approach

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Range-Wide Snow Leopard Phylogeography Supports Three Subspecies

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Is creativity domain specific or domain general? Evidence from multilevel explanatory item response theory models

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Dynamic structural health monitoring for concrete gravity dams based on the Bayesian inference

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Running Vacuum in the Universe: Phenomenological Status in Light of the Latest Observations, and Its Impact on the σ8 and H0 Tensions

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Comparing Multiunidimensional and Unidimensional Item Response Theory Models

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Bias in identification of the best treatment in a Bayesian network meta-analysis for binary outcome: a simulation study

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Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits

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Relating geographical variation in pollination types to environmental and spatial factors using novel statistical methods

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Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model

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A predictive framework to assess spatio‐temporal variability of infestations by the European spruce bark beetle

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Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains

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Clinical effectiveness of bisphosphonates for the prevention of fragility fractures: A systematic review and network meta-analysis

Sanderson, J., James, M. M., Stevens, J., Goka, E., Wong, R., Campbell, F., Selby, P. L., Gittoes, N. J. L., & Davis, S. (2016) · Bone · doi:10.1016/j.bone.2016.05.013 · Cited by 77

Concrete gravity dams model parameters updating using static measurements

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Life‐history tradeoffs revealed by seasonal declines in reproductive traits of Arctic‐breeding shorebirds

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Bayesian Data-Model Fit Assessment for Structural Equation Modeling

Levy, R. (2011) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2011.607723 · Cited by 80

An evidence synthesis approach to estimating Hepatitis C Prevalence in England and Wales

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Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortality

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Credit crunch in a small open economy

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A systematic review and economic evaluation of bisphosphonates for the prevention of fragility fractures

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Signals of large scale climate drivers, hatchery enhancement, and marine factors in Yukon River Chinook salmon survival revealed with a Bayesian life history model

Cunningham, C. J., Westley, P. A. H., & Adkison, M. D. (2018) · Global Change Biology · doi:10.1111/gcb.14315 · Cited by 76

Medicinal herbs for the treatment of anxiety: a systematic review and network meta-analysis

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Optical proximity correction with hierarchical Bayes model

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Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression

Benz, L., & Lopez, M. J. (2021) · AStA Advances in Statistical Analysis · doi:10.1007/s10182-021-00413-9 · Cited by 75

Delivery Room Interventions for Hypothermia in Preterm Neonates

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When preemptive risk mitigation is insufficient: The effectiveness of continuity and resilience techniques during COVID‐19

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On the value of conditioning data to reduce conceptual model uncertainty in groundwater modeling

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Prehospital Noninvasive Ventilation for Acute Respiratory Failure: Systematic Review, Network Meta‐analysis, and Individual Patient Data Meta‐analysis

Goodacre, S. W., Stevens, J., Pandor, A., Poku, E. N., Ren, S., Cantrell, A. J., Bounes, V., Mas, A., Payen, D. M., Petrie, D. A., et al. (2014) · Academic Emergency Medicine · doi:10.1111/acem.12466 · Cited by 75

Molecular systematics of sclerosomatid harvestmen (Opiliones, Phalangioidea, Sclerosomatidae): Geography is better than taxonomy in predicting phylogeny

Hedin, M. C., Tsurusaki, N., Macías‐Ordóñez, R., & Shultz, J. W. (2011) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2011.09.017 · Cited by 75

Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa

Clements, A., Brooker, S., Nyandindi, U., Fenwick, A., & Blair, L. (2007) · International Journal for Parasitology · doi:10.1016/j.ijpara.2007.08.001 · Cited by 75

Evidence for strong seasonality in the carbon storage and carbon use efficiency of an Amazonian forest

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Bayesian Computation Via Markov Chain Monte Carlo

Craiu, R. V., & Rosenthal, J. S. (2013) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-022513-115540 · Cited by 75

Collocated Human-Drone Interaction: Methodology and Approach Strategy

Wojciechowska, A., Frey, J., Sass, S., Shafir, R., & Cauchard, J. R. (2019) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2019.8673127 · Cited by 75

A-NICE-MC: Adversarial Training for MCMCPreprint

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Detecting and Measuring Selection from Gene Frequency Data

Vitalis, R., Gautier, M., Dawson, K. J., & Beaumont, M. (2013) · Genetics · doi:10.1534/genetics.113.152991 · Cited by 80

Bayesian Prior Choice in IRT Estimation Using MCMC and Variational Bayes

Natesan, P., Nandakumar, R., Minka, T., & Rubright, J. D. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01422 · Cited by 74

Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial

Zhan, P., Jiao, H., Man, K., & Wang, L. (2019) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998619826040 · Cited by 74

Stochastic Computations in Cortical Microcircuit Models

Habenschuss, S., Jonke, Z., & Maass, W. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003311 · Cited by 73

A Bayesian Approach to Analyzing Ecotoxicological Data

Billoir, É., Delignette‐Muller, M. L., Péry, A. R. R., & Charles, S. (2008) · Environmental Science & Technology · doi:10.1021/es801418x · Cited by 74

Evaluation of Gaussian approximations for data assimilation in reservoir models

Iglesias, M. A., Law, K. J. H., & Stuart, A. M. (2013) · Computational Geosciences · doi:10.1007/s10596-013-9359-x · Cited by 74

Bayesian Data—Model Integration in Plant Physiological and Ecosystem Ecology

Ogle, K., & Barber, J. J. (2007) · Progress in botany · doi:10.1007/978-3-540-72954-9_12 · Cited by 74

High‐resolution tide projections reveal extinction threshold in response to sea‐level rise

Field, C. R., Bayard, T. S., Gjerdrum, C., Hill, J. M., Meiman, S. T., & Elphick, C. S. (2016) · Global Change Biology · doi:10.1111/gcb.13519 · Cited by 74

Bayesian Methods for Calibrating Health Policy Models: A Tutorial

Menzies, N. A., Soeteman, D. I., Pandya, A., & Kim, J. J. (2017) · PharmacoEconomics · doi:10.1007/s40273-017-0494-4 · Cited by 73

Efficacy of the Additional Neoadjuvant Chemotherapy to Concurrent Chemoradiotherapy for Patients with Locoregionally Advanced Nasopharyngeal Carcinoma: a Bayesian Network Meta-analysis of Randomized Controlled Trials

Chen, Y., Guo, R., Liu, N., Liu, X., Mao, Y., Tang, L., Zhou, G., Lin, A.-H., Sun, Y. H., & Ma, J. (2015) · Journal of Cancer · doi:10.7150/jca.11814 · Cited by 73

Accounting for incomplete detection: What are we estimating and how might it affect long-term passerine monitoring programs?

Schmidt, J. H., McIntyre, C. L., & MacCluskie, M. C. (2013) · Biological Conservation · doi:10.1016/j.biocon.2013.01.007 · Cited by 73

A Hidden Markov Model for Learning Trajectories in Cognitive Diagnosis With Application to Spatial Rotation Skills

Chen, Y., Culpepper, S. A., Wang, S., & Douglas, J. A. (2017) · Applied Psychological Measurement · doi:10.1177/0146621617721250 · Cited by 75

Emergence of selectivity and tolerance in the avian auditory cortex

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Inferring ancestral states without assuming neutrality or gradualism using a stable model of continuous character evolution

Elliot, M. G., & Mooers, A. Ø. (2014) · BMC Evolutionary Biology · doi:10.1186/s12862-014-0226-8 · Cited by 72

Scaling Local Species-habitat Relations to the Larger Landscape with a Hierarchical Spatial Count Model

Thogmartin, W. E., & Knutson, M. G. (2006) · Landscape Ecology · doi:10.1007/s10980-006-9005-2 · Cited by 73

Bayesian stochastic modelling for avalanche predetermination: from a general system framework to return period computations

Eckert, N., Parent, É. É., Naaïm, M., & Richard, D. (2007) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-007-0107-4 · Cited by 73

A Rift Valley fever atlas for Africa

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Simultaneous Estimation of Overall and Domain Abilities: A Higher-Order IRT Model Approach

TORRE, J. D. L., & Song, H. (2009) · Applied Psychological Measurement · doi:10.1177/0146621608326423 · Cited by 73

Comparison of methods for analysing cluster randomized trials: an example involving a factorial design

Peters, T., Richards, S. H., Bankhead, C. R., Ades, A. E., & Sterne, J. A. C. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg228 · Cited by 73

Don't birth cohorts matter? A commentary and simulation exercise on Reither, Hauser, and Yang's (2009) age–period–cohort study of obesity

Bell, A., & Jones, K. (2013) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.09.004 · Cited by 73

Spatial and temporal patterns of neutral and adaptive genetic variation in the endangered African wild dog (Lycaon pictus)

Marsden, C. D., Woodroffe, R., Mills, M. G. L., McNutt, J. W., Creel, S., Groom, R. J., Emmanuel, M., Cleaveland, S., Kat, P. W., Rasmussen, G. S. A., et al. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05477.x · Cited by 75

Winter temperatures limit population growth rate of a migratory songbird

Woodworth, B. K., Wheelwright, N. T., Newman, A. E. M., Schaub, M., & Norris, D. R. (2017) · Nature Communications · doi:10.1038/ncomms14812 · Cited by 77

Small area mapping of prostate cancer incidence in New York State (USA) using fully Bayesian hierarchical modelling.

Johnson, G. D. (2004) · International Journal of Health Geographics · doi:10.1186/1476-072x-3-29 · Cited by 73

Parameter recovery for the Leaky Competing Accumulator model

Miletić, S., Turner, B. M., Forstmann, B. U., & van Maanen, L. (2017) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.12.001 · Cited by 78

Genomic selection models for directional dominance: an example for litter size in pigs

Varona, L., Legarra, A., Herring, W. O., & Vitezica, Z. G. (2018) · Genetics Selection Evolution · doi:10.1186/s12711-018-0374-1 · Cited by 74

Modelling anthelmintic resistance by extending eggCounts package to allow individual efficacy

Wang, C., Torgerson, P. R., Kaplan, R. M., George, M. M., & Furrer, R. (2018) · International Journal for Parasitology Drugs and Drug Resistance · doi:10.1016/j.ijpddr.2018.07.003 · Cited by 72

Spatial synchrony in the response of a long range migratory species ( Salmo salar ) to climate change in the North Atlantic Ocean

Olmos, M., Payne, M., Nevoux, M., Prévost, É., Chaput, G., du Pontavice, H., Guitton, J., Sheehan, T. F., Mills, K. E., & Rivot, É. (2019) · Global Change Biology · doi:10.1111/gcb.14913 · Cited by 70

TRAPPIST-1: Global results of theSpitzerExploration Science Program Red Worlds

Ducrot, E., Gillon, M., Delrez, L., Agol, E., Rimmer, P., Turbet, M., Günther, M. N., Demory, B.-O., Triaud, A. H. M. J., Bolmont, É., et al. (2020) · Astronomy and Astrophysics · doi:10.1051/0004-6361/201937392 · Cited by 87

Estimates of Human Immunodeficiency Virus Prevalence and Proportion Diagnosed Based on Bayesian Multiparameter Synthesis of Surveillance Data

Goubar, A., Ades, A. E., Angelis, D. D., McGarrigle, C. A., Mercer, C. H., Tookey, P. A., Fenton, K. A., & Gill, O. N. (2008) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2007.00537.x · Cited by 72

Integrating epidemiology, psychology, and economics to achieve HPV vaccination targets

Basu, S., Chapman, G. B., & Galvani, A. P. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808114105 · Cited by 72

Assessing the Response of Snow Avalanche Runout Altitudes to Climate Fluctuations Using Hierarchical Modeling: Application to 61 Winters of Data in France

Eckert, N., Baya, H., & Deschâtres, M. (2010) · Journal of Climate · doi:10.1175/2010jcli3312.1 · Cited by 72

Evaluating scaling models in biology using hierarchical Bayesian approaches

Price, C. A., Ogle, K., White, E. P., & Weitz, J. S. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01316.x · Cited by 72

Estimating the fitness cost and benefit of cefixime resistance in Neisseria gonorrhoeae to inform prescription policy: A modelling study

Whittles, L. K., White, P. J., & Didelot, X. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002416 · Cited by 72

The tidal disruption event AT2017eqx: spectroscopic evolution from hydrogen rich to poor suggests an atmosphere and outflow

Nicholl, M., Blanchard, P. K., Berger, E., Gómez, S., Margutti, R., Alexander, K. D., Guillochon, J., Leja, J., Chornock, R., Snios, B., et al. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz1837 · Cited by 72

An Extension and Test of Converse’s “Black-and-White” Model of Response Stability

Hill, J. (2001) · American Political Science Review · doi:10.1017/s0003055401002209 · Cited by 71

LABA/LAMA combination in COPD: a meta-analysis on the duration of treatment

Calzetta, L., Rogliani, P., Ora, J., Puxeddu, E., Cazzola, M., & Matera, M. G. (2017) · European Respiratory Review · doi:10.1183/16000617.0043-2016 · Cited by 71

Assessing the importance of demographic parameters for population dynamics using Bayesian integrated population modeling.

Eacker, D., Lukacs, P., Proffitt, K., & Hebblewhite, M. (2017) · Ecological Applications · doi:10.1002/eap.1521 · Cited by 48

A new model of decision processing in instrumental learning tasks

Miletić, S., Boag, R. J., Trutti, A. C., Stevenson, N., Forstmann, B. U., & Heathcote, A. (2021) · eLife · doi:10.7554/elife.63055 · Cited by 77

Ardipithecushand provides evidence that humans and chimpanzees evolved from an ancestor with suspensory adaptations

Prang, T. C., Ramirez, K. R., Grabowski, M. W., & Williams, S. A. (2021) · Science Advances · doi:10.1126/sciadv.abf2474 · Cited by 71

Efficacy of Anti-VEGF and Laser Photocoagulation in the Treatment of Visual Impairment due to Diabetic Macular Edema: A Systematic Review and Network Meta-Analysis

Régnier, S. A., Malcolm, W., Allen, F., Wright, J., & Bezlyak, V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102309 · Cited by 71

Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models

Korner‐Nievergelt, F., Brinkmann, R., Niermann, I., & Behr, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067997 · Cited by 71

Clinical effectiveness of denosumab, raloxifene, romosozumab, and teriparatide for the prevention of osteoporotic fragility fractures: A systematic review and network meta-analysis

Simpson, E. L., James, M. M., Hamilton, J. A., Wong, R., Gittoes, N. J. L., Selby, P. L., & Davis, S. (2019) · Bone · doi:10.1016/j.bone.2019.115081 · Cited by 72

Estimating density for species conservation: Comparing camera trap spatial count models to genetic spatial capture-recapture models

Burgar, J. M., Stewart, F. E. C., Volpe, J. P., Fisher, J. T., & Burton, A. C. (2018) · Global Ecology and Conservation · doi:10.1016/j.gecco.2018.e00411 · Cited by 70

Mars H Escape Rates Derived From MAVEN/IUVS Lyman Alpha Brightness Measurements and Their Dependence on Model Assumptions

Chaffin, M. S., Chaufray, J., Deighan, J., Schneider, N. M., Mayyasi, M., Clarke, J. T., Thiemann, E. M. B., Jain, S. K., Crismani, M. M. J., Stiepen, A., et al. (2018) · Journal of Geophysical Research Planets · doi:10.1029/2018je005574 · Cited by 70

The Time Course of Individuals' Perception of Coarticulatory Information is Linked to their Production: Implications for Sound Change

Beddor, P. S., Coetzee, A. W., Styler, W., McGowan, K. B., & Boland, J. E. (2018) · Language · doi:10.1353/lan.2018.0051 · Cited by 70

Bayesian Calibration of Microsimulation Models

Rutter, C. M., Miglioretti, D. L., & Savarino, J. E. (2009) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.ap07466 · Cited by 70

Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques

Ando, T., & Zellner, A. (2010) · Bayesian Analysis · doi:10.1214/10-ba503 · Cited by 70

Does social capital matter for European regional growth?

Forte, A., Peiró‐Palomino, J., & Tortosa‐Ausina, E. (2015) · European Economic Review · doi:10.1016/j.euroecorev.2015.03.013 · Cited by 70

A Bayesian Framework for Parameter Estimation in Dynamical Models

Coelho, F. C., Codeço, C. T., & Gomes, M. G. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019616 · Cited by 70

Treating Pit-and-Fissure Caries

Schwendicke, F., Jäger, A. M., Paris, S., Hsu, L. Y., & Tu, Y. (2015) · Journal of Dental Research · doi:10.1177/0022034515571184 · Cited by 70

Disentangling the paradox of insect phenology: are temporal trends reflecting the response to warming?

Ellwood, E. R., Diez, J. M., Ibáñez, I., Primack, R. B., Kobori, H., Higuchi, H., & Silander, J. A. (2011) · Oecologia · doi:10.1007/s00442-011-2160-4 · Cited by 70

Comparative analysis of methods for inferring successful foraging areas from Argos and GPS tracking data

Dragon, A., Bar‐Hen, A., Monestiez, P., & Guinet, C. (2012) · Marine Ecology Progress Series · doi:10.3354/meps09618 · Cited by 70

Atlantic salmon (Salmo salar) smolt and early post-smolt migration and survival inferred from multi-year and multi-stock acoustic telemetry studies in the Gulf of St. Lawrence, northwest Atlantic

Chaput, G., Carr, J. W., Daniels, J., Tinker, S., Jonsen, I. D., & Whoriskey, F. G. (2018) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsy156 · Cited by 70

Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model

Brown, C. J., Jupiter, S. D., Albert, S., Klein, C. J., Mangubhai, S., Maina, J. M., Mumby, P. J., Olley, J. M., Stewart‐Koster, B., Tulloch, V., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-05031-7 · Cited by 70

Diet Breadth Mediates the Prey Specificity of Venom Potency in Snakes

Lyons, K., Dugon, M. M., & Healy, K. (2020) · Toxins · doi:10.3390/toxins12020074 · Cited by 70

Reliability of journal impact factor rankings

Greenwood, D. C. (2007) · BMC Medical Research Methodology · doi:10.1186/1471-2288-7-48 · Cited by 69

An Estimated New Keynesian Policy Model for Australia*

BUNCIC, D., & Melecký, M. (2008) · Economic Record · doi:10.1111/j.1475-4932.2008.00443.x · Cited by 69

Antiemetic Prophylaxis as a Marker of Health Care Disparities in the National Anesthesia Clinical Outcomes Registry

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Cognitive workload measurement and modeling under divided attention.

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Guidelines for large herbivore translocation simplified: black rhinoceros case study

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Parental Co-Construction of 5- to 13-Year-Olds' Global Self-Esteem Through Reminiscing About Past Events

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Land‐use change increases climatic vulnerability of migratory birds: Insights from integrated population modelling

Zhao, Q., Arnold, T. W., Devries, J. H., Howerter, D. W., Clark, R. G., & Weegman, M. D. (2019) · Journal of Animal Ecology · doi:10.1111/1365-2656.13043 · Cited by 68

Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation

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Management for lumbar spinal stenosis: A network meta-analysis and systematic review

Wei, F., Zhou, C.-P., Liu, R., Zhu, K.-L., Du, M., Gao, H.-R., Wu, S., Sun, L., Yan, X., Liu, Y., et al. (2020) · International Journal of Surgery · doi:10.1016/j.ijsu.2020.11.014 · Cited by 75

Arctic Ocean stratification set by sea level and freshwater inputs since the last ice age

Farmer, J. R., Sigman, D. M., Granger, J., Underwood, O. M., Fripiat, F., Cronin, T. M., Martínez‐García, A., & Haug, G. H. (2021) · Nature Geoscience · doi:10.1038/s41561-021-00789-y · Cited by 68

Stephen Brooks and Andrew Gelman

An, L., Brooks, S., & Gelman, A. (1998)

Inference and monitoring convergence

Gilks, W. R., Richardson, S. T., & Spiegelhalter, D. J. (1995) · Chapman & Hall/CRC eBooks · doi:10.1201/b14835-13 · Cited by 412

Some issues in monitoring convergence of iterative simulations

Brooks, S. P., & Gelman, S. A. (1998) · Cited by 59

Inference and Monitoring Convergence (chapter for Gilks, Richardson, and Spiegelhalter book)

Andrew Gelman Department, Book, S., & Gelman, A. (2007)

Gelman: Inference and Monitoring Convergence (chapter for Gilks

Book, S., & Gelman, A. (2007)