YOAV BENJAMINI – Partial List of Peer-reviewed Publications

(Some papers appear under more than one heading)

Selective Inference and False Discovery Rate (FDR)

Y. Hochberg, Y. Benjamini (1990) More powerful procedures for multiple significance testing. Statistics in Medicine 9, 811-818. (Cited 2,900)

Y. Benjamini, Y. Hochberg (1995). Controlling the False Discovery Rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B, 57, 1, 289-300. (Cited ~109,000) (Number 59 in citations all across Science, Nature 2014)

Benjamini, Y., Stark P.B. (1996) Nonequivariant simultaneous confidence intervals less likely to contain zero. Journal of the American Statistical Association, 91, 329-337.

Benjamini, Y. Hochberg Y. (1997) Multiple hypotheses testing with weights. Scandinavian Journal of Statistics, 24,3,407-419

Benjamini, Y., Hochberg Y., Stark P.B. (1998). Confidence intervals with more power to determine the sign: two ends constrain the means. Journal of the American Statistical Association 93, 441, 309-317.

Yekutieli, D., Benjamini,Y. (1999) Resampling based False Discovery Rate controlling procedure for dependent test statistics. Journal of Statistical Planning ad Inference, 82,171-196.

Benjamini, Y., Hochberg Y. (2000) On the adaptive control of the false discovery rate in multiple comparison problems. The Journal of Educational and Behavioral Statistics. 25,1,60-83. (Cited ~1900)

Benjamini, Y., Drai, D. Elmer G., Kafkafi N., Golani I. (2001). Controlling the false discovery rate in behavior genetics research. Behavioural Brain Research, 125 (1-2): 279-284. (Cited ~3900)

Benjamini Y. Yekutieli D. (2001) The control of the False Discovery Rate in multiple testing under dependency. The Annals of Statistics, 29 (4): 1165-1188. (Cited ~11,000)

Reiner A., Yekutieli D. Benjamini Y. (2003) Identifying Differentially Expressed Genes Using False Discovery Rate Controlling Procedures Bioinformatics, 19,3,368-375. (Cited ~2,000)

Benjamini, Y., Yekutieli Y. (2005) False discovery rate controlling confidence intervals for selected parameters. Journal of the American Statistical Association, 100,469,71-80.

Benjamini, Y., Yekutieli Y. (2005) Rejoinder to ‘False discovery rate controlling confidence intervals for selected parameters.’ Journal of the American Statistical Association, 100,469,90-93.

Benjamini Y. Yekutieli D. (2005) The False Discovery Rate Approach to Quantitative Trait Loci Analysis. Genetics, 171 (2),783-789.

Abramovich F. Benjamini Y. (1996) Adaptive thresholding of wavelet coefficients Computational Statistics and Data Analysis, 22, 351-361.

Abramovich F., Benjamini Y., Donoho D., Johnstone I.M. (2006) Adapting to unknown sparsity by controlling the false discovery rate. The Annals of Statistics 34,584-653.

Benjamini, Y., Krieger, A.M., Yekutieli D. (2006) Adaptive linear step-up procedures that control the false discovery rate. Biometrika 93 (3): 491-507. (Cited ~3,000)

Yekutieli D, Reiner-Benaim A, Benjamini Y, Elmer GI, Kafkafi N, Letwin NE, Lee NH (2006) Approaches to multiplicity issues in complex research in microarray analysis. Statistica Neerlandica 60 (4): 414-437.

Reiner-Benaim A, Yekutieli D, Letwin NE, Elmer GI, Lee NH, Kafkafi N, Benjamini Y (2007). Associating quantitative behavioral traits with gene expression in the brain: searching for diamonds in the hay. Bioinformatics,2239-2246.

Heller R., Stanley D., Yekutieli D., Rubin N., Benjamini Y. (2006) Cluster-based analysis of FMRI data. Neuroimage 33 (2): 599-608.

Heller, R., Golland Y., Malach R., Benjamini Y. (2007) Conjunction group analysis: An alternative to mixed/random effect analysis. NeuroImage 1178–1185.

Benjamini, Y., Heller, R. (2007) False discovery rate for spatial data. Journal of the American Statistical Association, 1272-1281.

Benjamini, Y., Heller, R. (2008) Screening for partial conjunction hypotheses. Biometrics, 64,4,1215-1222.

Kimel, MT, Benjamini, Y., Steinberg, DM. (2008) The false discovery rate for multiple testing in factorial experiments. Technometrics, 50,1,32-39.

Benjamini Y., Gavrilov, Y. (2009) A simple forward selection procedure based on false discovery rate control. Annals of Applied Statistics,3,1, 179-198.

Benjamini, Y., Heller, R., Yekutieli, Y. (2009) Selective Inference in Complex Research. Philosophical Transactions of the Royal Society A,367, 4255-4271.

Gavrilov, Y., Benjamini, Y., Sarkar, SK. (2009) An adaptive step-down procedure with proven FDR control under independence. Annals of Statistics, 37,2, 619-629.

Benjamini, Y., Gavrilov, Y, (2009) A simple forward selection procedure base based on false discovery rate control. Annals of Applied Statistics, 3, 1, 179-198.

Benjamini, Y (2010) Discovering the false discovery rate. Journal of the Royal Statistical Society Series B, 72,405-416.

Benjamini, Y. (2010) Simultaneous and selective inference: current successes and future challenges. Biometrical Journal, 708-721.

Benjamini, Y. Madar, V. Stark, PB. (2013). Simultaneous confidence intervals more likely to determine the sign Biometrika, 283-300.

Weinstein, A., Fithian, W., Benjamini, Y. (2013) Selection Adjusted Confidence Intervals With More Power to Determine the Sign . JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 165-176.

Benjamini,Y., Hechtlinger, Y. (2013) Discussion: An estimate of the science-wise false discovery rate and applications to top medical journals by Jager and Leek. Biostatistics15, 13-16.

Benjamini, Y., Bogomolov, M. (2014) Selective inference on multiple families of hypotheses. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B, 76,297-318.

Rosenblatt, J.D., Benjamini, Y. (2014) Selective Inference; not voodoo. Neuroimage. 2014 Aug 19. pii: S1053-8119(14)00691-0. doi: 10.1016/j.neuroimage.

Benjamini, Y., Cohen, R. (2017) Weighted False Discovery Rate controlling procedure for Clinical Trials. Biostatistics, 18,1,91-104.

Peterson CB, Bogomolov M, Benjamini Y, Sabatti C.(2016) TreeQTL: hierarchical error control for eQTL findings. Bioinformatics. 32(16):2556-8. doi: 10.1093/bioinformatics/btw198.

Bogomolov, M., Peterson, B.C., Benjamini,Y., Sabatti,C., (2021) Hypotheses on a tree: new error rates and testing strategies, Biometrika, Volume 108, Issue 3, September 2021, Pages 575–590, https://doi.org/10.1093/biomet/asaa086

Gurkan, G., Benjamini, Y. & Braun, H. (2021) Defensible inferences from a nested sequence of logistic regressions: a guide for the perplexed. Large-scale Assess Educ 9, 16. https://doi.org/10.1186/s40536-021-00111-7

Frostig, T., Benjamini, Y. (2022) Testing the equality of multivariate means when p > n by combining the Hotelling and Simes tests. Test 31, 390–415 DOI 10.1007/s11749-021-00781-z

Benjamini, Y. (2020) Selective inference: The silent killer of replicability. Harvard data Science Review, 2(4). DOI: 10.1162/99608f92.fc62b261

Benjamini, Y., Heller, R, Krieger, A. & Rosset, S (2023) Discussion on “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun. Biometrics, https://doi.org/10.1111/biom.13906.

Replicability in Science

Lipkind D, Sakov A, Kafkafi N, et al. (2004) New replicable anxiety-related measures of wall vs. center behavior of mice in the open field. Journal of Applied Physiology 97 (1): 347-359.

Kafkafi N, Benjamini Y, Sakov A, Elmer, GI, Golani, I (2005) Genotype-environment interactions in mouse behavior: A way out of the problem PNAS 102 (12): 4619-4624.

Benjamini, Y., Lipkind, D., Horev, G., Fonio, E., Kafkafi, N. Golani I. (2010). Ten ways to improve the quality of descriptions of whole-animal movement. Neuroscience & Biobehaviorial Review,1351-1365.

Sakov, A., Golani, I., Lipkind, D., Benjamini, Y. (2010) High Throughput data analysis in behavior genetics. Annals of Applied Statistics, 743-763.

Fonio, E. Golani, I., Benjamini, Y. (2012) Measuring behavior of animal models: faults and remedies. NATURE METHODS. 1167-1170

Benjamini,Y., Hechtlinger, Y. (2013) Discussion: An estimate of the science-wise false discovery rate and applications to top medical journals by Jager and Leek. Biostatistics15, 13-16.

Heller, R., Bogomolov, M., Benjamini, Y. (2014) Deciding whether follow-up studies have replicated findings in a preliminary large-scale “omics’ study”. Proceedings of the National Academy of Sciences, 16262-16267.

Peterson CB¹, Bogomolov M², Benjamini Y³, Sabatti C (2016) Many Phenotypes Without Many False Discoveries: Error Controlling Strategies for Multitrait Association Studies. Genet Epidemiol. 2016 Jan;40(1):45-56. doi: 10.1002/gepi.21942. Epub 2015 Dec 2.

Peterson CB, Bogomolov M, Benjamini Y, Sabatti C.(2016) TreeQTL: hierarchical error control for eQTL findings. Bioinformatics. 32(16):2556-8. doi: 10.1093/bioinformatics/btw198.

Yoav Benjamini, Richard D. De Veaux, Bradley Efron, et al (2021) ASA President’s Task Force Statement on Statistical Significance and Replicability, CHANCE, 34:4, 10-11, DOI: 10.1080/09332480.2021.2003631

Kafkafi, N. Golani, I. Jaljuli, I., Morgan, H. Sarig^,T, Würbel, H. Yaacoby, S. Benjamini^,Y. (2017) Addressing reproducibility in single-laboratory phenotyping experiments. Nature Methods,14,5, 462-464.

Karp, Natasha A.; Heller, Ruth; Yaacoby, Shay; White, J.K., Benjamini, Y. (2017) Improving the Identification of Phenotypic Abnormalities and Sexual Dimorphism in Mice When Studying Rare Event Categorical Characteristics. Genetics, 205, 2, 491-501.

Kafkafi, Neri, Agassi, Joseph, Chesler, Elissa J.et al. (2018)

Reproducibility and replicability of rodent phenotyping in preclinical studies. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS 87, 218-232.

Benjamini, Y. (2020) Selective inference: The silent killer of replicability. Harvard data Science Review, 2(4). DOI: 10.1162/99608f92.fc62b261

Jaljuli, J., Benjamini, Y., Shenhav, L., Panagiotou, O.A. & Heller, R. (2022) Quantifying Replicability and Consistency in Systematic Reviews, Statistics in Biopharmaceutical Research, DOI: 10.1080/19466315.2022.2050291

Jaljuli, I., Kafkafi, N., Giladi, E., Golani, I., Gozes, I., Chesler, E. J., ... & Benjamini, Y. (2023). A multi-lab experimental assessment reveals that replicability can be improved by using empirical estimates of genotype-by-lab interaction. PLoS Biology, 21(5), e3002082.‏

Animal Behaviour

Benjamini, Y., Bitterman, N. (1990). Statistical Approach to the analysis of sensitivity to CNS oxygen toxicity in rats Undersea biomedical research 17 (3), 213-221

Golani, Y. Benjamini, D. Eilam (1993). Stopping behavior: constraints on exploration in rats (Rattus norvegicus). Behavioural Brain Research, 21-33.

Tchernichovski O., Benjamini Y., Golani I. (1996) Constraints and the emergence of order in the ontology of rat exploratory behavior Behaviour, 133, 7-8, 519-539.

N. Kafkafi, S. Levi-Havusha, I. Golani, Y. Benjamini (1996). Coordination of side-to-side head movements and walking in amphetamine-treated rats: a stereotyped motor pattern as a stable equilibrium in a dynamical system. Biological Cybernetics, 74, 487-495

Tchernichovski O., Benjamini Y., Golani I. (1998) The dynamics of long-term exploration in the rat. Part I: A phase – plane analysis of the relationship between location and velocity. Biological Cybernetics 78, 6, 423-432.

Drai D., Benjamini Y., Golani, I. (2000) Statistical discrimination of natural modes of motion in rat exploratory behavior. Journal of Neuroscience Methods 96, 119-131.

Drai D., Kafkafi N., Benjamini Y., Elmer G., Golani I. (2001) Rats and mice share common ethologically relevant parameters of exploratory behavior. Behavioural Brain Research, 125 (1-2): 133-140.

Kafkafi, N., Lipkind, D., Benjamini, Y., Mayo, C.L., Elmer,G.I., Golani I. (2003) SEE locomotor behavior test discriminates C57BL/6J and DBA/2J mouse inbred strains across laboratories and protocol conditions. Behavioral Neuroscience, 117, No. 3, 464–477.

Lipkind D, Sakov A, Kafkafi N, et al. (2004) New replicable anxiety-related measures of wall vs. center behavior of mice in the open field. Journal of Applied Physiology 97 (1): 347-359.

Kafkafi N, Benjamini Y, Sakov A, Elmer, GI, Golani, I (2005) Genotype-environment interactions in mouse behavior: A way out of the problem PNAS 102 (12): 4619-4624.

Hen I., Sakov A., Kafkafi N., Golani I., Benjamini Y. (2004) The dynamics of Spatial behavior: How can robust techniques help? Journal of Neuroscience methods 133 (1-2) 161-172.

Gruntman E, Benjamini Y, Golani I (2007) Coordination of steering in a free-trotting quadruped. Journal of Comparative Physiology A-Neuroethology Sensory Neural and Behavoral Physiology 193 (3): 331-345.

Horev G, Benjamini Y, Sakov A, Golani I (2007) Estimating wall guidance and attraction in mouse free locomotor behavior. Genes Brain and Behavior 6 (1): 30-41.

Horev, G., Sakov, A., Benjamini, Y., Golani, I., (2006) Estimating wall guidance and attraction in mouse free locomotor behavior. Genes Brain and Behavior 6 (1): 30-41.

Fonio, E., Sakov, A., Benjamini, Y., Golani, I., (2006) Wild mouse Open Field behavior is embedded within the multidimensional data space spanned by laboratory inbred strains. Genes Brain and Behavior 5 (5): 380-388.

Letwin NE, Kafkafi N, Benjamini Y, Mayo C, Frank BC, Luu T, Lee NH, Elmer GI, (2006). Combined application of behavior genetics and microarray analysis to identify regional expression themes and gene-behavior associations. Journal of Neuroscience

Reiner-Benaim A, Yekutieli D, Letwin NE, Elmer GI, Lee NH, Kafkafi N, Benjamini Y (2007). Associating quantitative behavioral traits with gene expression in the brain: searching for diamonds in the hay. Bioinformatics,2239-2246. 26, 5277-5287.

Fonio, U., Benjamini, Y., Golani, I. (2009) Freedom of movement and the stability of its unfolding in free exploration of mice. Proceedings of the National Academy of Sciences 106, 21335-21340.

Sakov, A., Golani, I., Lipkind, D., Benjamini, Y. (2010) High Throughput data analysis in behavior genetics. Annals of Applied Statistics, 743-763.

Benjamini, Y., Fonio, E. Galili, T., Havkin, G.Z. Golani, I. (2011). Quantifying the buildup in extent and complexity of free exploration in mice Proceedings of the National Academy of Sciences of the USA. 108, 3, 15580-15587.

Gomez-Marin, A., Oron, E. Gakamsky, A., Valente, D., Benjamini, Y., Golani, I. (2016) Generative rules of Drosophila locomotor behavior as a candidate homology across phyla. SCIENTIFIC REPORTS , 6, Article Number: 27555.

Fonio, E. Golani, I., Benjamini, Y. (2012) Short and Long Term Measures of Anxiety Exhibit Opposite Results . PLOS ONE 7, 10, Article Number: e48414

Fonio, E. Golani, I., Benjamini, Y. (2012) Measuring behavior of animal models: faults and remedies. NATURE METHODS. 1167-1170

Wexler, Yair; Benjamini, Yoav; Golani, Ilan (2018). Vertical exploration and dimensional modularity in mice. Royal Society Open Science. Volume: 5 Issue: 3 Article Number: 180069

Yoav Benjamini & Yoav Zeevi (2020) It’s the Selection’s Fault—Not the p-Values’: A Comment on “The Role of p-Values in Judging the Strength of Evidence and Realistic Replication Expectations”, Statistics in Biopharmaceutical Research, 13:1, 22-25, DOI: 10.1080/19466315.2020.1845790

Karp, Natasha A.; Mason, Jeremy; Beaudet, Arthur L.; et al. (2017) Prevalence of Sexual Dimorphism in Mammalian Phenotipic traits. Nature Communications, 8,15475 DOI: 10.1038/ncomms15475.

Frostig, T., Alonim, H., Scheingesicht, G., Benjamini, Y., Golani, I. (2020) Exploration in the Presence of Mother in Typically and Non-typically Developing Pre-walking Human Infants. Frontiers in Behavioral Neuroscience, 14, 530972 DOI 10.3389/fnbeh.2020.580972

Genomics and Bioinformatics

Reiner A., Yekutieli D. Benjamini Y. (2003) Identifying Differentially Expressed Genes Using False Discovery Rate Controlling Procedures Bioinformatics, 19,3,368-375.

Benjamini Y. Yekutieli D. (2005) The False Discovery Rate Approach to Quantitative Trait Loci Analysis. Genetics, 171 (2),783-789.

26, 5277-5287. Shaul, S., Berel, D., Benjamini, Y. Gaur, D. (2010) Revisiting the Operational RNA Code for Amino Acids: Ensemble Attributes and their Implications. RNA,16, 141-153.

Peterson, Christine B; Service, Susan K; Jasinska, Anna J; et al. (2016) Characterization of Expression Quantitative Trait Loci in Pedigrees from Colombia and Costa Rica Ascertained for Bipolar Disorder. PLoS genetics, 12 ,5 Pages: e1006046

Sofer, T, Heller, T., Bogomolov, M., et al. (2017) A powerful statistical framework for generalization testing in GWAS, with application to the HCHS/SOL. Genetics Epidemiology, 41, 3, 251-258, DOI: 10.1002/gepi.22029.

Jasinska, Anna J.; Zelaya, Ivette; Service, Susan K.; et al.(2017). Genetic variation and gene expression across multiple tissues and developmental stages in a nonhuman primate. Nature Genetics 49, 12, 1714-

Brain Research

Reiner-Benaim A., Yekutieli D., Letwin N.E., Elmer G.I., Lee N.H., Kafkafi N., Benjamini Y. (2007). Associating quantitative behavioral traits with gene expression in the brain: searching for diamonds in the hay. Bioinformatics,2239-2246.

Golland Y, Bentin S, Gelbard H, Benjamini, Y, Heller R, Nir Y, Hasson U, Malach R (2007)

Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation Cerebral Cortex 17 (4): 766-777.

Heller, R., Golland Y., Malach R., Benjamini Y. (2007) Conjunction group analysis: An alternative to mixed/random effect analysis. NeuroImage 1178–1185.

Rosenblatt, J. D., Vink, M., Benjamini, Y. (2014) Revisiting multi-subject random effects in fMRI: Advocating prevalence estimation. NEUROIMAGE, 84,113-121.

Rosenblatt, J.D., Benjamini, Y. (2014) Selective Inference; not voodoo. Neuroimage. 2014 Aug 19. pii: S1053-8119(14)00691-0. doi: 10.1016/j.neuroimage.

Raz, G.,Shpigelman, L., Jacob, Y., Gonen, T., Benjamini, Y., Hendler, T. (2016) Psychophysiological whole-brain network clustering based on connectivity dynamics analysis in naturalistic conditions. HUMAN BRAIN MAPPING, 37,12, 4654-4672 DOI: 10.1002/hbm.23335

Stemmer, A. Galili, T. Kozlovski, T. et al. (2019)

Current and Potential Approaches for Defining Disease Signatures: a Systematic Review

JOURNAL OF MOLECULAR NEUROSCIENCE 67,4, 550-558

Kozlovski, Tal; Mitelpunkt, Alexis; Thaler, Avner; et al.(2019) Hierarchical Data-Driven Analysis of Clinical Symptoms Among Patients With Parkinson's Disease . FRONTIERS IN NEUROLOGY Volume: 10, Article: 531.

Ben-Zion, Z., Zeevi, Y., Keynan, N. J., et al (2020) Multi-domain potential biomarkers for post-traumatic stress disorder (PTSD) severity in recent trauma survivors. Translational Psychiatry 10(1), article 208, DOI: 10.1038/s41398-020-00898-z

Mitelpunkt, A. Galili, T., Kozlovski, T. et al (2020). Novel Alzheimer's disease subtypes identified using a data and knowledge driven strategy. SCIENTIFIC REPORTS , 10 (1) article 1327DOI: 10.1038/s41598-020-57785-2.

Ben-Zion, Z; Zeevi, Y; Keynan, N. J., Admon, R., Kozlovski, T., Sharon, H., Halpern, P., Liberzon, I., Shalev, A.Y., Benjamini, Y., Hendler, T. (2020) Multi-domain potential biomarkers for post-traumatic stress disorder (PTSD) severity in recent trauma survivors. Translational psychiatry Vol.10(1) DOI: 10.1038/s41398-020-00898-z

Yamin, H. G., Gurevitch, G., Gazit, T., Shpigelman, L., Fried, I., Nir, Y., ... & Hendler, T. (2023). Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG. Iscience, 26(4)

Kozlovski, T., Hausdorff, J. M., Davidov, O., Giladi, N., Mirelman, A., & Benjamini, Y. (2023). A novel performance scoring quantification framework for stress test set-ups. Plos one, 18(4), e0284083.‏

Other notable papers

Benjamini, Y. (1983) Is the T-test really conservative when the parent distribution
is long-tailed. Journal of the American Statistical Association 78, 383, 645-654.
Benjamini, Y. Benjamini, Y. (1986) The choice among medical insurance plans. American Economic Review 76, No. 1, 221-227.

Benjamini, Y. (1988) Opening the box of a boxplot. The American Statistician, 42, 4, 257-262.
Benjamini, Y., Igbaria, M. (1991) Clustering categories for better prediction of computer resources utilizations. Applied Statistics, Journal of the Royal Statistical Society Series C 40, 2, 295-307.
Benjamini, Y., Krieger, A.M., (1995). On the consistency of tests of symmetry. Journal of Nonparametric Statistics, Vol.4, 283-292.

Benjamini, Y; Krieger, A.M. (1996) Concepts and measures for skewness with data-analytic implications. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE Volume: 24 Issue: 1 Pages: 131-140.

Snir M, Axer-Siegel R, Bourla D, Kremer I, Benjamini Y, Weinberger (2002). Tactile corneal reflex development in full-term babies. Ophthalmology, Mar;109(3):526-9

Axer-Siegel R. Bourla D., Erlich R., Dotan G., Benjamini Y., Gavendo S., Weinberger D., Sela B.A. (2004) Association of neovascular age-related macular degeneration and hyperhomocysteimia. American Journal of Opthamology 137 (1) 84-89.

Schnell I., Benjamini Y. (2005) Globalisation and the Structure of Urban Social Space: The Lesson from Tel Aviv. Urban Studies, 42,13, 2489–2510.

Rosenblatt D.R., Benjamini Y, (2018). On mixture alternatives and Wilcoxon’s signed rank test American Statistician, 72,4,344-347

Shachar, Netta, Mitelpunkt, Alexis; Kozlovski, Tal et al. (2018) The Importance of Nonlinear Transformations Use in Medical Data Analysis. JMIR MEDICAL INFORMATICS 6 ,2, 71-79.

Catz, A., Itzkovich, M., Elkayam, K. et al (2022). Reliability Validity and Responsiveness of the Spinal Cord Independence Measure 4th Version in a Multicultural Setup,Archives of Physical Medicine and Rehabilitation, 103, 3,430-440. https://doi.org/10.1016/j.apmr.2021.07.811.

Steinberg, D. M., Balicer, R. D., Benjamini, Y., De-Leon, H., Gazit, D., Rossman, H., & Sprecher, E. (2022). The role of models in the covid-19 pandemic. Israel Journal of Health Policy Research, 11(1), 36.‏

Frostig, T., Benjamini, Y., Kehat, O., Weiss-Meilik, A., Mandel, D., Peleg, B., Strauss, Z. & Mitelpunkt, A. (2023). Developing a length of stay prediction model for newborns, achieving better accuracy with greater usability. International Journal of Medical Informatics 180, 105267

May 2024

Peterson CB1, Bogomolov M2, Benjamini Y3, Sabatti C (2016) Many Phenotypes Without Many False Discoveries: Error Controlling Strategies for Multitrait Association Studies. Genet Epidemiol. 2016 Jan;40(1):45-56. doi: 10.1002/gepi.21942. Epub 2015 Dec 2.

Frostig, T., Alonim, H., Scheingesicht, G., Benjamini, Y., Golani, I. (2020) Exploration in the Presence of Mother in Typically and Non-typically Developing Pre-walking Human Infants. Frontiers in Behavioral Neuroscience, 14, 530972 DOI 10.3389/fnbeh.2020.580972

Frostig, T., Benjamini, Y., Kehat, O., Weiss-Meilik, A., Mandel, D., Peleg, B., Strauss, Z. & Mitelpunkt, A. (2023). Developing a length of stay prediction model for newborns, achieving better accuracy with greater usability. International Journal of Medical Informatics 180, 105267

Peterson CB¹, Bogomolov M², Benjamini Y³, Sabatti C (2016) Many Phenotypes Without Many False Discoveries: Error Controlling Strategies for Multitrait Association Studies. Genet Epidemiol. 2016 Jan;40(1):45-56. doi: 10.1002/gepi.21942. Epub 2015 Dec 2.