Journal of the American Statistical Association

Bayes factors

Kass, R. E., & Raftery, A. E. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476572 · Cited by 12,558

Multiple imputation after 18+ years

Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476908 · Cited by 4,072

A practical solution to the pervasive problems ofp values

Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490

Massive migration from the steppe was a source for Indo-European languages in Europe

Haak, W., Lazaridis, I., Patterson, N., Rohland, N., Mallick, S., Llamas, B., Brandt, G., Nordenfelt, S., Harney, E., Stewardson, K., et al. (2015) · Nature · doi:10.1038/nature14317 · Cited by 1,940

The Relationship Between Education and Adult Mortality in the United States

Lleras-Muney, A. (2005) · Review of Economic Studies · doi:10.1111/0034-6527.00329 · Cited by 1,282

Controlling for endogeneity with instrumental variables in strategic management research

Bascle, G. (2008) · Strategic Organization · doi:10.1177/1476127008094339 · Cited by 1,133

A Conditional Likelihood Ratio Test for Structural Models

Moreira, M. J. (2003) · Econometrica · doi:10.1111/1468-0262.00438 · Cited by 796

Working during School and Academic Performance

Stinebrickner, R., & Stinebrickner, T. R. (2003) · Journal of Labor Economics · doi:10.1086/345565 · Cited by 348

Neighborhood effects on crime for female and male youth: Evidence from a randomized housing voucher experiment

Kling, J. R., Ludwig, J., & Katz, L. F. (2005) · Quarterly Journal of Economics · doi:10.1162/qjec.2005.120.1.87 · Cited by 311

Socioeconomic status over the life course and stages of cigarette use: initiation, regular use, and cessation

Gilman, S. E., Abrams, D. B., & Buka, S. L. (2003) · Journal of Epidemiology and Community Health · doi:10.1136/jech.57.10.802 · Cited by 311

The Long‐Run Educational Cost of World War II

Ichino, A., & Winter‐Ebmer, R. (2004) · Journal of Labor Economics · doi:10.1086/380403 · Cited by 307

Assessing the goodness of fit of logistic regression models in large samples: a modification of the Hosmer-Lemeshow test

Nattino, G., Pennell, M. L., & Lemeshow, S. (2020) · Biometrics · doi:10.1111/biom.13249 · Cited by 229

Massively multiplayer online role-playing games: comparing characteristics of addict vsnon-addict online recruited gamers in a French adult population

Achab, S., Nicolier, M., Mauny, F., Monnin, J., Trojak, B., Vandel, P., Sechter, D., Gorwood, P., & Haffen, E. (2011) · BMC Psychiatry · doi:10.1186/1471-244x-11-144 · Cited by 210

CXC chemokines located in the 4q21 region are up-regulated in breast cancer

Bieche, I., Chavey, C., Andrieu, C., Busson, M., Vacher, S., Le Corre, L., Guinebretiere, J.-M., Burlinchon, S., Lidereau, R., & Lazennec, G. (2007) · Endocrine Related Cancer · doi:10.1677/erc.1.01301 · Cited by 183

A historical review of publication bias

Marks‐Anglin, A., & Chen, Y. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1452 · Cited by 165

Increased climate pressure on the agricultural frontier in the Eastern Amazonia–Cerrado transition zone

Marengo, J. A., Jimenez, J. C., Espinoza, J.-C., Cunha, A. P., & Aragão, L. E. O. (2022) · Scientific Reports · doi:10.1038/s41598-021-04241-4 · Cited by 164

Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech

Gentzkow, M., Shapiro, J., & Taddy, M. (2016) · doi:10.3386/w22423 · Cited by 159

How to quantify support for and against the null hypothesis: A flexible WinBUGS implementation of a default Bayesian t test

Wetzels, R., Raaijmakers, J. G. W., Jakab, E., & Wagenmakers, E.-J. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.4.752 · Cited by 143

Mobile Sensing at the Service of Mental Well-being: a Large-scale Longitudinal Study

Servia-Rodríguez, S., Rachuri, K. K., Mascolo, C., Rentfrow, P. J., Lathia, N., & Sandstrom, G. M. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052618 · Cited by 134

Overperception of moral outrage in online social networks inflates beliefs about intergroup hostility

Brady, W. J., McLoughlin, K. L., Torres, M. P., Luo, K. F., Gendron, M., & Crockett, M. J. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01582-0 · Cited by 121

Ranking vs. Preference: A Comparative Study of Self-reporting

Yannakakis, G. N., & Hallam, J. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-24600-5_47 · Cited by 90

Rapid-Throughput Skeletal Phenotyping of 100 Knockout Mice Identifies 9 New Genes That Determine Bone Strength

Bassett, J. H. D., Gogakos, A., White, J. K., Evans, H., Jacques, R. M., van der Spek, A. H., Sanger Mouse Genetics Project, Ramirez-Solis, R., Ryder, E., Sunter, D., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002858 · Cited by 82

Survival Prediction Models since Liver Transplantation - Comparisons between Cox Models and Machine Learning Techniques

Kantidakis, G., Putter, H., Lancia, C., Boer, J. D., Braat, A. E., & Fiocco, M. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-01153-1 · Cited by 75

Changes in urbanization and urban heat island effect in Dhaka city

Uddin, A. S. M. S., Khan, N., Islam, A. R. M. T., Kamruzzaman, M., & Shahid, S. (2022) · Theoretical and Applied Climatology · doi:10.1007/s00704-021-03872-x · Cited by 75

Ischemia/reperfusion induces interferon stimulated gene expression in microglia

McDonough, A., Lee, R. V., Noor, S., Lee, C., Le, T., Iorga, M., Phillips, J. L. H., Murphy, S., Möller, T., & Weinstein, J. R. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0725-17.2017 · Cited by 71

Utility of human-computer interactions: toward a science of preference measurement

Toomim, M., Kriplean, T., Pörtner, C., & Landay, J. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979277 · Cited by 64

Epistemic Communities under Active Inference

Albarracin, M., Demekas, D., Ramstead, M. J. D., & Heins, C. (2022) · Entropy · doi:10.3390/e24040476 · Cited by 60

Eliciting prior information to enhance the predictive performance of bayesian graphical models

Madigan, D., Gavrin, J., & Raftery, A. E. (1995) · Communications in Statistics - Theory and Methods · doi:10.1080/03610929508831616 · Cited by 60

Athlete atypicity on the edge of human achievement: performances stagnate after the last peak, in 1988

Berthelot, G., Tafflet, M., El Helou, N., Len, S., Escolano, S., Guillaume, M., Nassif, H., Tolaïni, J., Thibault, V., Desgorces, F. D., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008800 · Cited by 57

Misleading Policy Messages Derived from the Period TFR: Should We Stop Using It?

Sobotka, T., & Lutz, W. (2011) · Comparative Population Studies · doi:10.12765/cpos-2010-15 · Cited by 56

WAMIDEX: A web atlas of murine genomic imprinting and differential expression

Schulz, R., Woodfine, K., Menheniott, T. R., Bourc'his, D., Bestor, T., & Oakey, R. J. (2008) · Epigenetics · doi:10.4161/epi.3.2.5900 · Cited by 56

Extracting Multiscale Pattern Information of fMRI Based Functional Brain Connectivity with Application on Classification of Autism Spectrum Disorders

Wang, H., Chen, C., & Fushing, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045502 · Cited by 33

Youth mentoring relationships and college social and academic functioning: the role of mentoring relationship quality, duration, and type

McClain, C. M., Kelner, W. C., & Elledge, L. C. (2021) · American Journal of Community Psychology · doi:10.1002/ajcp.12539 · Cited by 16

Blinding and expectancy confounds in psychedelic randomised controlled trials

Muthukumaraswamy, S., Forsyth, A., & Lumley, T. (2021) · doi:10.31234/osf.io/q2hzm · Cited by 15

Energy Consumption and Foreign Direct Investment Inflows in Nigeria: An Empirical Perspective

Olaoye, O. P., Aderemi, T. A., John, N. C., Jude-Okeke, Y., & Ezinwa, A. D. (2020) · International Journal of Energy Economics and Policy · doi:10.32479/ijeep.8489 · Cited by 16

Modular large language model agents for multi-task computational materials science

Chaudhari, A., Ock, J., & Barati Farimani, A. (2026) · Communications Materials · doi:10.1038/s43246-025-00994-x · Cited by 19

Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci

Li, Y., Xiong, Z., Zhang, M., Hysi, P. G., Qian, Y., Adhikari, K., Weng, J., Wu, S., Du, S., Gonzalez-Jose, R., et al. (2023) · PLOS Genetics · doi:10.1371/journal.pgen.1010786 · Cited by 9

Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeast

Csárdi, G., Franks, A., Choi, D. S., Airoldi, E. M., & Drummond, D. A. (2014) · doi:10.1101/009472 · Cited by 8

Simultaneous confidence intervals for ranks with application to ranking institutions

Al Mohamad, D., Goeman, J. J., & van Zwet, E. W. (2022) · Biometrics · doi:10.1111/biom.13419 · Cited by 1