Visual search and childhood vision impairment: A GAMLSS-oriented multiverse analysis approach

[1]  P. Bühlmann,et al.  Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics , 2022, WIREs Data Mining Knowl. Discov..

[2]  K. Herman,et al.  Distributional causal effects: Beyond an "averagarian" view of intervention effects. , 2022, Psychological methods.

[3]  P. Verghese,et al.  Saccades during visual search in macular degeneration , 2022, Vision Research.

[4]  Fariha Sohil,et al.  An introduction to statistical learning with applications in R , 2021, Statistical Theory and Related Fields.

[5]  P. Constable,et al.  Cone dystrophy, childhood vision impairment and education: are clinical measures of visual function adequate to support a child through education? , 2021, Clinical & experimental optometry.

[6]  T. Kneib,et al.  Rage Against the Mean – A Review of Distributional Regression Approaches , 2021, Econometrics and Statistics.

[7]  Elina Birmingham,et al.  Attention capture by trains and faces in children with and without autism spectrum disorder , 2021, PloS one.

[8]  Dan J Stein,et al.  Brain charts for the human lifespan , 2021, Nature.

[9]  J. Wolfe.  Guided Search 6.0: An updated model of visual search , 2021, Psychonomic Bulletin & Review.

[10]  Benjamin D. Moate,et al.  Visual impairment, severe visual impairment, and blindness in children in Britain (BCVIS2): a national observational study , 2021, The Lancet. Child & adolescent health.

[11]  R. Segev,et al.  Feature Integration Theory , 2020, Encyclopedia of Animal Cognition and Behavior.

[12]  D. Salisbury,et al.  Inefficient visual search strategies in the first-episode schizophrenia spectrum , 2020, Schizophrenia Research.

[13]  Changming Wang,et al.  The Effects of Normal Aging, Subjective Cognitive Decline, Mild Cognitive Impairment, or Alzheimer's Disease on Visual Search. , 2020, Journal of Alzheimer's disease : JAD.

[14]  M. Maybery,et al.  Magnitude of sex differences in visual search varies with target eccentricity , 2020, Psychonomic bulletin & review.

[15]  Moreno I. Coco,et al.  Age-related differences during visual search: the role of contextual expectations and cognitive control mechanisms , 2020, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[16]  P. Constable,et al.  Effect size of search superiority in autism spectrum disorder , 2020, Clinical & experimental optometry.

[17]  Jeremy M Wolfe,et al.  Visual Search: How Do We Find What We Are Looking For? , 2020, Annual review of vision science.

[18]  Giuseppe Boccignone,et al.  Visual search in ADHD, ASD and ASD + ADHD: overlapping or dissociating disorders? , 2020, European Child & Adolescent Psychiatry.

[19]  J. Wood,et al.  Impact of glaucoma on executive function and visual search , 2020, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[20]  S. Wahl,et al.  Reference curves for refraction in a German cohort of healthy children and adolescents , 2020, PloS one.

[21]  J. Wolfe,et al.  Efficiency and accuracy of visual search develop at different rates from early childhood through early adulthood , 2020, Psychonomic bulletin & review.

[22]  M. Walterfang,et al.  Visual Search in Behavioral Variant Frontotemporal Dementia. , 2019, Journal of Alzheimer's disease : JAD.

[23]  R. Schultz,et al.  Visual attention to faces in children with autism spectrum disorder: are there sex differences? , 2019, Molecular Autism.

[24]  Julian Stander,et al.  Analysis of paediatric visual acuity using Bayesian copula models with sinh‐arcsinh marginal densities , 2019, Statistics in medicine.

[25]  N. Rinehart,et al.  Superior Visual Search and Crowding Abilities Are Not Characteristic of All Individuals on the Autism Spectrum , 2018, Journal of Autism and Developmental Disorders.

[26]  J. Otero-Millan,et al.  Visual Search in Amblyopia: Abnormal Fixational Eye Movements and Suboptimal Sampling Strategies. , 2018, Investigative ophthalmology & visual science.

[27]  D. Bowler,et al.  Problem-solving styles in autism spectrum disorder and the development of higher cognitive functions , 2018, Autism : the international journal of research and practice.

[28]  A. Webber.  The functional impact of amblyopia , 2018, Clinical & experimental optometry.

[29]  T. Hothorn,et al.  Distributional regression forests for probabilistic precipitation forecasting in complex terrain , 2018, The Annals of Applied Statistics.

[30]  H. Goltz,et al.  Visual search deficits in amblyopia. , 2018, Journal of vision.

[31]  Mikis D. Stasinopoulos,et al.  GAMLSS: A distributional regression approach , 2018 .

[32]  Elisabeth Waldmann,et al.  Quantile regression: A short story on how and why , 2018 .

[33]  F. Marmolejo-Ramos,et al.  Three Strategies for the Critical Use of Statistical Methods in Psychological Research , 2017, Educational and psychological measurement.

[34]  Michal Jakubczyk,et al.  A framework for sensitivity analysis of decision trees , 2017, Central European Journal of Operations Research.

[35]  Francis Tuerlinckx,et al.  Increasing Transparency Through a Multiverse Analysis , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[36]  Markus Pauly,et al.  Rank‐based procedures in factorial designs: hypotheses about non‐parametric treatment effects , 2016, 1606.03973.

[37]  Jeremy M. Wolfe,et al.  Visual Search Revived: The Slopes Are Not That Slippery: A Reply to Kristjansson (2015) , 2016, i-Perception.

[38]  K. Plaisted-Grant,et al.  The Autism-Spectrum Quotient and Visual Search: Shallow and Deep Autistic Endophenotypes , 2013, Journal of Autism and Developmental Disorders.

[39]  L. Hagenäs,et al.  Colombian reference growth curves for height, weight, body mass index and head circumference , 2016, Acta paediatrica.

[40]  Brandon Keehn,et al.  Exploring What’s Missing: What Do Target Absent Trials Reveal About Autism Search Superiority? , 2016, Journal of autism and developmental disorders.

[41]  Hermann J Müller,et al.  Eye movements are an important part of the story, but not the whole story , 2015, Behavioral and Brain Sciences.

[42]  Árni Kristjánsson,et al.  Reconsidering Visual Search , 2015, i-Perception.

[43]  Jie Huang,et al.  Cube search, revisited. , 2015, Journal of vision.

[44]  Denis Cousineau,et al.  On the efficacy of procedures to normalize Ex-Gaussian distributions , 2015, Front. Psychol..

[45]  Weixin Yao,et al.  Robust linear regression: A review and comparison , 2014, Commun. Stat. Simul. Comput..

[46]  Björn N. S. Vlaskamp,et al.  Crowded visual search in children with normal vision and children with visual impairment , 2014, Vision Research.

[47]  M. Wilke,et al.  Complex Visual Search in Children and Adolescents: Effects of Age and Performance on fMRI Activation , 2013, PloS one.

[48]  T. Kneib.  Beyond mean regression , 2013 .

[49]  Trevor Hastie,et al.  An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.

[50]  Daniel J. Povinelli,et al.  Impaired Eye Region Search Accuracy in Children with Autistic Spectrum Disorders , 2013, PloS one.

[51]  Gang Luo,et al.  Visual search performance of patients with vision impairment: effect of JPEG image enhancement , 2012, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[52]  Duje Tadin,et al.  Peripheral vision of youths with low vision: motion perception, crowding, and visual search. , 2012, Investigative ophthalmology & visual science.

[53]  Peter J. Bex,et al.  Effects of Peripheral Visual Field Loss on Eye Movements During Visual Search , 2011, Front. Psychology.

[54]  Renita A. Almeida,et al.  Visual search performance in the autism spectrum II: The radial frequency search task with additional segmentation cues , 2010, Neuropsychologia.

[55]  Witold R. Rudnicki,et al.  Feature Selection with the Boruta Package , 2010 .

[56]  D. Levi.  Crowding—An essential bottleneck for object recognition: A mini-review , 2008, Vision Research.

[57]  J. Rahi.  Childhood blindness: a UK epidemiological perspective , 2007, Eye.

[58]  A. Gelman,et al.  Splitting a Predictor at the Upper Quarter or Third and the Lower Quarter or Third , 2007 .

[59]  E Borghi,et al.  Construction of the World Health Organization child growth standards: selection of methods for attained growth curves , 2006, Statistics in medicine.

[60]  T. Kuyk,et al.  Feature search in persons with severe visual impairment , 2005, Vision Research.

[61]  M. O'riordan,et al.  Superior Visual Search in Adults with Autism , 2004, Autism : the international journal of research and practice.

[62]  R. Wilcox.  The percentage bend correlation coefficient , 1994 .

[63]  Robert C. Holte,et al.  Very Simple Classification Rules Perform Well on Most Commonly Used Datasets , 1993, Machine Learning.

[64]  Marc Green,et al.  Visual search, visual streams, and visual architectures , 1991, Perception & psychophysics.

[65]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[66]  J. Ross Quinlan,et al.  Simplifying decision trees , 1987, Int. J. Hum. Comput. Stud..

[67]  Stefan Sperlich,et al.  Generalized Additive Models , 2014 .

[68]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[69]  S. Sternberg.  High-Speed Scanning in Human Memory , 1966, Science.

[70]  J. Morgan,et al.  Visual search and target detection during simulated driving in Parkinson's disease. , 2019, Accident; analysis and prevention.

[71]  Martin Krzywinski,et al.  Points of Significance: Classification and regression trees , 2017, Nature Methods.

[72]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[73]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[74]  M. Bach,et al.  The Freiburg Visual Acuity test--automatic measurement of visual acuity. , 1996, Optometry and vision science : official publication of the American Academy of Optometry.