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Institution

University of Kansas

EducationLawrence, Kansas, United States
About: University of Kansas is a education organization based out in Lawrence, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38183 authors who have published 81381 publications receiving 2986312 citations. The organization is also known as: KU & Univ of Kansas.


Papers
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Journal ArticleDOI
TL;DR: A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables and found cat-LS to be more sensitive to sample size and to violations of the assumption of normality of the underlying continuous variables.
Abstract: A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category thresholds. Results revealed that factor loadings and robust standard errors were generally most accurately estimated using cat-LS, especially with fewer than 5 categories; however, factor correlations and model fit were assessed equally well with ML. Cat-LS was found to be more sensitive to sample size and to violations of the assumption of normality of the underlying continuous variables. Normal theory ML was found to be more sensitive to asymmetric category thresholds and was especially biased when estimating large factor loadings. Accordingly, we recommend cat-LS for data sets containing variables with fewer than 5 categories and ML when there are 5 or more categories, sample size is small, and category thresholds are approximately symmetric. With 6-7 categories, results were similar across methods for many conditions; in these cases, either method is acceptable.

1,472 citations

Journal ArticleDOI
TL;DR: DendroPy uses a splits-hash mapping to perform rapid calculations of tree distances, similarities and shape under various metrics, and contains rich simulation routines to generate trees under a number of different phylogenetic and coalescent models.
Abstract: Summary: DendroPy is a cross-platform library for the Python programming language that provides for object-oriented reading, writing, simulation and manipulation of phylogenetic data, with an emphasis on phylogenetic tree operations. DendroPy uses a splits-hash mapping to perform rapid calculations of tree distances, similarities and shape under various metrics. It contains rich simulation routines to generate trees under a number of different phylogenetic and coalescent models. DendroPy’s data simulation and manipulation facilities, in conjunction with its support of a broad range of phylogenetic data formats (NEXUS, Newick, PHYLIP, FASTA, NeXML, etc.), allow it to serve a useful role in various phyloinformatics and phylogeographic pipelines. Availability: The stable release of the library is available for download and automated installation through the Python Package Index site (http://pypi.python.org/pypi/DendroPy), while the active development source code repository is available to the public from GitHub (http://github.com/jeetsukumaran/DendroPy).

1,462 citations

Journal ArticleDOI
Robert S. Fisher1, Vicenta Salanova2, Thomas C. Witt2, Robert M. Worth2, Thomas R. Henry3, Robert E. Gross3, Kalarickal J. Oommen4, Ivan Osorio5, Jules M. Nazzaro5, Douglas Labar6, Michael G. Kaplitt6, Michael R. Sperling7, Evan Sandok8, John H. Neal8, Adrian Handforth9, John M. Stern10, Antonio DeSalles9, Steve Chung11, Andrew G. Shetter11, Donna Bergen12, Roy A.E. Bakay12, Jaimie M. Henderson1, Jacqueline A. French13, Gordon H. Baltuch13, William E. Rosenfeld, Andrew Youkilis, William J. Marks14, Paul A. Garcia14, Nicolas Barbaro14, Nathan B. Fountain15, Carl W. Bazil16, Robert R. Goodman16, Guy M. McKhann16, K. Babu Krishnamurthy17, Steven Papavassiliou17, Charles M. Epstein3, John R. Pollard13, Lisa Tonder18, Joan Grebin18, Robert J. Coffey18, Nina M. Graves18, Marc A. Dichter, William Elias, Paul Francel, Robert C. Frysinger, Kevin Graber, John Grant, Gary Heit, Susan T. Herman, Padmaja Kandula, Andres M. Kanner, Jeanne Ann King, Eric Kobylarz, Karen Lapp, Suzette M. LaRoche, Susan Lippmann, Rama Maganti, Timothy Mapstone, Dragos Sabau, Lara M. Schrader, Ashwini Sharan, Mike Smith, David M. Treiman, Steve Wilkinson, Steven Wong, Andro Zangaladze, Shelley Adderley, Brian Bridges, Mimi Callanan, Dawn Cordero, Cecelia Fields, Megan Johnson, MaryAnn Kavalir, Patsy Kretschmar, Carol Macpherson, Kathy Mancl, Marsha Manley, Stephanie Marsh, Jean Montgomery, Pam Mundt, Phani Priya Nekkalapu, Bill Nikolov, Bruce Palmer, Linda Perdue, Alison Randall, David Smith, Linda Smith, Kristen Strybing, Leigh Stott, Robin Taylor, Stacy Thompson, Zornitza Timenova, Bree Vogelsong, Virginia Balbona, Donna K. Broshek, Deborah A. Cahn-Weiner, Lisa Clift, Mary Davidson, Evan Drake, Sally Frutiger, Lynette Featherstone, Chris Grote, Dan Han, Dianne Henry, Jessica Horsfall, Andrea Hovick, Jennifer Gray, David Kareken, Kristin Kirlin, Debbie Livingood, Michele Meyer, Nancy Minniti, Jeannine Morrone Strupinsky, William Schultz, James Scott, Joseph I. Tracy, Stuart Waltonen, Penelope Ziefert, Carla Van Amburg, Mark E Burdelle, Sandra Clements, Robert Cox, Raeleen Dolin, Michelle Fulk, Harinder R. Kaur, Lawrence J. Hirsch, Thomas J. Hoeppner, Andrea Hurt, Mary Komosa, Scott E. Krahl, Laura Ponticello, Mark Quigg, Helene Quinn, Marvin A. Rossi, Patty Schaefer, Christopher Skidmore, Diane Sundstrom, Patricia Trudeau, Monica Volz, Norman C. Wang, Lynette Will, Carol Young 
TL;DR: A multicenter, double‐blind, randomized trial of bilateral stimulation of the anterior nuclei of the thalamus for localization‐related epilepsy is reported.
Abstract: Summary Purpose: We report a multicenter, double-blind, randomized trial of bilateral stimulation of the anterior nuclei of the thalamus for localization-related epilepsy Methods: Participants were adults with medically refractory partial seizures, including secondarily generalized seizures Half received stimulation and half no stimulation during a 3-month blinded phase; then all received unblinded stimulation Results: One hundred ten participants were randomized Baseline monthly median seizure frequency was 195 In the last month of the blinded phase the stimulated group had a 29% greater reduction in seizures compared with the control group, as estimated by a generalized estimating equations (GEE) model (p = 0002) Unadjusted median declines at the end of the blinded phase were 145% in the control group and 404% in the stimulated group Complex partial and “most severe” seizures were significantly reduced by stimulation By 2 years, there was a 56% median percent reduction in seizure frequency; 54% of patients had a seizure reduction of at least 50%, and 14 patients were seizure-free for at least 6 months Five deaths occurred and none were from implantation or stimulation No participant had symptomatic hemorrhage or brain infection Two participants had acute, transient stimulation-associated seizures Cognition and mood showed no group differences, but participants in the stimulated group were more likely to report depression or memory problems as adverse events Discussion: Bilateral stimulation of the anterior nuclei of the thalamus reduces seizures Benefit persisted for 2 years of study Complication rates were modest Deep brain stimulation of the anterior thalamus is useful for some people with medically refractory partial and secondarily generalized seizures

1,444 citations

Journal ArticleDOI
24 Mar 2011-Nature
TL;DR: 111,195 new elements are identified, including thousands of genes, coding and non-coding transcripts, exons, splicing and editing events and inferred protein isoforms that previously eluded discovery using established experimental, prediction and conservation-based approaches.
Abstract: Drosophila melanogaster is one of the most well studied genetic model organisms; nonetheless, its genome still contains unannotated coding and non-coding genes, transcripts, exons and RNA editing sites. Full discovery and annotation are pre-requisites for understanding how the regulation of transcription, splicing and RNA editing directs the development of this complex organism. Here we used RNA-Seq, tiling microarrays and cDNA sequencing to explore the transcriptome in 30 distinct developmental stages. We identified 111,195 new elements, including thousands of genes, coding and non-coding transcripts, exons, splicing and editing events, and inferred protein isoforms that previously eluded discovery using established experimental, prediction and conservation-based approaches. These data substantially expand the number of known transcribed elements in the Drosophila genome and provide a high-resolution view of transcriptome dynamics throughout development.

1,427 citations

Journal ArticleDOI
TL;DR: This component analysis used meta-analytic techniques to synthesize the results of 77 published evaluations of parent training programs to enhance behavior and adjustment in children aged 0–7 and found components consistently associated with larger effects included increasing positive parent–child interactions and emotional communication skills.
Abstract: This component analysis used meta-analytic techniques to synthesize the results of 77 published evaluations of parent training programs (i.e., programs that included the active acquisition of parenting skills) to enhance behavior and adjustment in children aged 0-7. Characteristics of program content and delivery method were used to predict effect sizes on measures of parenting behaviors and children's externalizing behavior. After controlling for differences attributable to research design, program components consistently associated with larger effects included increasing positive parent-child interactions and emotional communication skills, teaching parents to use time out and the importance of parenting consistency, and requiring parents to practice new skills with their children during parent training sessions. Program components consistently associated with smaller effects included teaching parents problem solving; teaching parents to promote children's cognitive, academic, or social skills; and providing other, additional services. The results have implications for selection and strengthening of existing parent training programs.

1,418 citations


Authors

Showing all 38401 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
Krzysztof Matyjaszewski1691431128585
Wei Li1581855124748
David Tilman158340149473
Tomas Hökfelt158103395979
Pete Smith1562464138819
Daniel J. Rader1551026107408
Melody A. Swartz1481304103753
Kevin Murphy146728120475
Carlo Rovelli1461502103550
Stephen Sanders1451385105943
Marco Zanetti1451439104610
Andrei Gritsan1431531135398
Gunther Roland1411471100681
Joseph T. Hupp14173182647
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022358
20214,211
20204,204
20193,766
20183,485