C. Statistics and Research Design (STAT) CoreCore Director: Domenic V. Cicchetti, Ph.D.Investigators: Alan Kazdin Ph.D., Marek Chawarski, Ph.D.I. OBJECTIVESThe Statistics and Research Design (STAT) Core resource provides ongoing support for both methodologicaland data analytic strategies that apply to research investigations deriving from each of the three ProgramProject Areas. This is accomplished and reflected in biostatistical consultations on an individual and projectbasis as well as in presentations and publications. This task is facilitated in this program project grant by theongoing collaborations of program project staff and personnel, their use of current, standard clinicalinstruments, as well as a common array of required standard and innovative data analytic strategies. With theregular meeting of project personnel data management and statistical analysis becomes an ongoingcollaborative process both within as well as between the projects. This ongoing collaboration also serves tosimplify the formalization of the required liaison between the STAT Core and the Assessment andAdministrative Cores.The STAT Core of the Program Project is charged with the overall responsibility for assuring that investigatorshave access to, and make use of, high level consultation and collaboration from the planning stages ofresearch projects through their final reporting in scientific publications.The major objectives of the STAT Core are to assure that research within each Program Project exemplifies: the highest quality of research design possible in a given clinical research application progressive biostatistical methodologies, computer programs, and data analytic techniques the evaluation of new methodologies and techniques as they emerge within the field, in order to bothdetermine their potential usefulness for the Program Project, as well as to make them available to otherinvestigators and in the broader scientific community the facilitation of collaboration and the coordination of data deriving from the various Project Areas, in orderto determine areas of scientific knowledge that are pertinent across more than one Project (e.g., analysis oflongitudinal data) the development and assessment of the psychometric properties of prevailing diagnostic instruments, asthey are required to meet any given study objective the implementation of multivariate data analytic procedures as required to facilitate data analysis in a givenProject Area consultation and discussions with both senior and junior Project investigators about specific researchdesigns, methodologies, relevant computer programs, and interpretations of research findings and thesharing of knowledge about our ongoing research, and related research in the broader field, by semi-monthlypresentations, using Power Point and other innovative technologies. These presentations serve multiplefunctions, including among them, the education of our junior staff; and preparation for both papers to be readat professional scientific meetings, and research publications; and for the smooth functioning and synergismof the three Cores (Administrative, Assessment, and Statistics and Research Design) that oversee each ofthe Program Projects. Toward this aim, participants include: Program Project Core Directors, P.l.s, andSenior and Junior staff, as well as investigators in related areas of inquiry (e.g., research in the genetics ofautism and autism spectrum disorders). The latter presentations are made by internationally recognizedscientists from within the greater Yale University community as well as from other parts of the country andabroad.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Program Projects (P01)
Project #
5P01HD003008-40
Application #
7716554
Study Section
Special Emphasis Panel (ZHD1-DSR-H (FV))
Project Start
2008-09-01
Project End
2011-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
40
Fiscal Year
2008
Total Cost
$278,814
Indirect Cost
Name
Yale University
Department
Type
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Wang, Quan; Campbell, Daniel J; Macari, Suzanne L et al. (2018) Operationalizing atypical gaze in toddlers with autism spectrum disorders: a cohesion-based approach. Mol Autism 9:25
Charman, Tony; Young, Gregory S; Brian, Jessica et al. (2017) Non-ASD outcomes at 36 months in siblings at familial risk for autism spectrum disorder (ASD): A baby siblings research consortium (BSRC) study. Autism Res 10:169-178
Prince, Emily Barbara; Kim, Elizabeth S; Wall, Carla Anne et al. (2017) The relationship between autism symptoms and arousal level in toddlers with autism spectrum disorder, as measured by electrodermal activity. Autism 21:504-508
Messinger, Daniel S; Young, Gregory S; Webb, Sara Jane et al. (2016) Commentary: sex difference differences? A reply to Constantino. Mol Autism 7:31
Szatmari, Peter; Chawarska, Katarzyna; Dawson, Geraldine et al. (2016) Prospective Longitudinal Studies of Infant Siblings of Children With Autism: Lessons Learned and Future Directions. J Am Acad Child Adolesc Psychiatry 55:179-87
Chawarska, Katarzyna; Macari, Suzanne; Powell, Kelly et al. (2016) Enhanced Social Attention in Female Infant Siblings at Risk for Autism. J Am Acad Child Adolesc Psychiatry 55:188-95.e1
Edgar, J Christopher; Fisk 4th, Charles L; Liu, Song et al. (2016) Translating Adult Electrophysiology Findings to Younger Patient Populations: Difficulty Measuring 40-Hz Auditory Steady-State Responses in Typically Developing Children and Children with Autism Spectrum Disorder. Dev Neurosci 38:1-14
Shic, Frederick (2016) Eye Tracking as a Behavioral Biomarker for Psychiatric Conditions: The Road Ahead. J Am Acad Child Adolesc Psychiatry 55:267-8
Chawarska, Katarzyna; Ye, Saier; Shic, Frederick et al. (2016) Multilevel Differences in Spontaneous Social Attention in Toddlers With Autism Spectrum Disorder. Child Dev 87:543-57
Rowberry, Justin; Macari, Suzanne; Chen, Grace et al. (2015) Screening for autism spectrum disorders in 12-month-old high-risk siblings by parental report. J Autism Dev Disord 45:221-9

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