Altman, DG and Bland, JM (1994) Diagnostic tests 2: predictive values. British Medical Journal 309, 102.
Bedi, G, Carrillo, F, Cecchi, GA, Slezak, DF, Sigman, M, Mota, NB et al. (2015) Automated analysis of free speech predicts psychosis onset in high-risk youths. NPJ Schizophrenia 1, 15030.
Cannon, TD, Cadenhead, K, Cornblatt, B, Woods, SW, Addington, J, Walker, E et al. (2008) Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America. Archives of General Psychiatry 65, 28–37.
Cannon, TD, Yu, C, Addington, J, Bearden, CE, Cadenhead, KS, Cornblatt, BA et al. (2016) An individualized risk calculator for research in prodromal psychosis. American Journal of Psychiatry 173, 980–988.
C.D.C.P (2012) Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years –Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2010. Centers for Disease Control and Prevention: Surveillance Summaries 1–19.
Couzin-Frankel, J (2017) A change of mind. Science 358, 856–859.
Emerson, RW, Adams, C, Nishino, T, Hazlett, HC, Wolff, JJ, Zwaigenbaum, L et al. (2017) Functional neuroimaging of high-risk 6-month-old infants predicts a diagnosis of autism at 24 months of age. Science Translational Medicine 9, eaag2882.
Fusar-Poli, P, Rutigliano, G, Stahl, D, Davies, C, Bonoldi, I, Reilly, T et al. (2017) Development and validation of a clinically based risk calculator for the transdiagnostic prediction of psychosis. JAMA Psychiatry 74, 493–500.
Gronborg, TK, Schendel, DE and Parner, ET (2013) Recurrence of autism spectrum disorders in full- and half-siblings and trends over time: a population-based cohort study. JAMA Pediatrics 167, 947–953.
Hafeman, DM, Merranko, J, Goldstein, TR, Axelson, D, Goldstein, BI, Monk, K et al. (2017) Assessment of a person-level risk calculator to predict New-onset bipolar spectrum disorder in youth at familial risk. JAMA Psychiatry 74, 841–847.
Hallmayer, J, Cleveland, S, Torres, A, Phillips, J, Cohen, B, Torigoe, T et al. (2011) Genetic heritability and shared environmental factors among twin pairs with autism. Archives of General Psychiatry 68, 1095–1102.
Hayden, EC (2017) The rise, fall and rise again of 23andMe. Nature 550, 174–177.
Hazlett, HC, Gu, H, Munsell, BC, Kim, SH, Styner, M, Wolff, JJ et al. IBIS NETWORK (2017) Early brain development in infants at high risk for autism spectrum disorder. Nature 542, 348–351.
Howsmon, DP, Kruger, U, Melnyk, S, James, SJ and Hahn, J (2017) Classification and adaptive behavior prediction of children with autism spectrum disorder based upon multivariate data analysis of markers of oxidative stress and DNA methylation. PLoS Computational Biology 13, e1005385.
Just, MA, Pan, L, Cherkassky, VL, Mcmakin, DL, Cha, C, Nock, MK et al. (2017) Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth. Nature Human Behaviour 1, 911–919.
Mausner, JS and Kramer, S (1985) Epidemiology: An Introductory Text. Saunders: Philadelphia, PA.
Pramparo, T, Pierce, K, Lombardo, MV, Carter Barnes, C, Marinero, S, Ahrens-Barbeau, C et al. (2015) Prediction of autism by translation and immune/inflammation coexpressed genes in toddlers from pediatric community practices. JAMA Psychiatry 72, 386–394.
Skafidas, E, Testa, R, Zantomio, D, Chana, G, Everall, IP, Pantelis, C (2014) Response to Belgard et al. Molecular Psychiatry 19, 407–409.
Studerus, E, Ramyead, A and Riecher-Rossler, A (2017) Prediction of transition to psychosis in patients with a clinical high risk for psychosis: a systematic review of methodology and reporting. Psychological Medicine 47, 1163–1178.
Sundermann, B, Herr, D, Schwindt, W and Pfleiderer, B (2014) Multivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspective. AJNR American Journal of Neuroradiology 35, 848–855.
Szatmari, P, Chawarska, K, Dawson, G, Georgiades, S, Landa, R, Lord, C et al. (2016) Prospective longitudinal studies of infant siblings of children with autism: lessons learned and future directions. Journal of the American Academy of Child and Adolescent Psychiatry 55, 179–187.
Yahata, N, Morimoto, J, Hashimoto, R, Lisi, G, Shibata, K, Kawakubo, Y et al. (2016) A small number of abnormal brain connections predicts adult autism spectrum disorder. Nature Communication 7, 11254.