Results 71 to 80 of about 2,248,018 (313)

Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs

Advances in Methods and Practices in Psychological Science
The use of linear mixed models (LMMs) is increasing in psychology and neuroscience research In this article, we focus on the implementation of LMMs in fully crossed experimental designs.
Michele Scandola, Emmanuele Tidoni
doaj   +1 more source

Bayesian Statistics in Sociology: Past, Present, and Future

The Annual review of sociology, 2019
Although Bayes’ theorem has been around for more than 250 years, widespread application of the Bayesian approach only began in statistics in 1990. By 2000, Bayesian statistics had made considerable headway into social science, but even now its direct use
S. Lynch, Bryce Bartlett
semanticscholar   +1 more source

Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree, Beatrice Suero, Sarah Walsh, Romain Marignier, John W. Lindsey, Ho Jin Kim, Dewei She, Daniel Cimbora, Dustin Cavida, Friedemann Paul   +9 more
wiley   +1 more source

Non-linear regression models for Approximate Bayesian Computation

, 2009
Approximate Bayesian inference on the basis of summary statistics is well-suited to complex problems for which the likelihood is either mathematically or computationally intractable.
A. Butler, A. Gelman, B. Schölkopf, B.D. Ripley, C. Gourieroux, C.M. Bishop, C.P. Robert, D.A. Nix, D.E. Reich, E.A. Nadaraya, G. Weiss, G.E.P. Box, G.S. Watson, I.J. Wilson, J. Fan, J. Hey, J.H. Friedman, J.K. Pritchard, J.K. Pritchard, J.P. King, J.S. Liu, K. Heggland, L.A. Zhivotovsky, L.A. Zhivotovsky, M. Stephens, M. Tanaka, M.A. Beaumont, M.D. Shriver, M.K. Kuhner, N.J.R. Fagundes, O. Ratmann, P. Bortot, P. Marjoram, P. Marjoram, P.J. Diggle, S. Tavaré, S. Tavaré, S.A. Sisson, T. Ohta, T. Toni, V.N. Vapnik, W. Härdle, Y.-X. Fu, Y.-X. Fu   +43 more
core   +1 more source

Approximate Bayesian Computation by Modelling Summary Statistics in a Quasi-likelihood Framework [PDF]

, 2015
Approximate Bayesian Computation (ABC) is a useful class of methods for Bayesian inference when the likelihood function is computationally intractable. In practice, the basic ABC algorithm may be inefficient in the presence of discrepancy between prior ...
Cabras, Stefano, Nueda, Maria Eugenia Castellanos, Ruli, Erlis   +2 more
core   +3 more sources

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello, Rui Xiao, Xuemei Zhang, Jahan Jazayeri, Irit R. Rasooly, Pamela F. Weiss   +5 more
wiley   +1 more source

Quantitative Framework for Astrobiology Strategies and in situ Biogenic Assessments

Frontiers in Astronomy and Space Sciences, 2022
In July 2020, NASA’s Perseverance (Mars 2020) mission was launched. The rover sent to the surface of Mars will not only perform in situ analyses, but will also collect rock and regolith samples that will be returned to Earth by future missions for ...
Julie Hartz, Simon C. George
doaj   +1 more source

Bayesian Statistics Then and Now

Statistical Science, 2010
Discussion of "The Future of Indirect Evidence" by Bradley Efron [arXiv:1012.1161]
openaire   +3 more sources

Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham, Meghan McPherson, Lillian Lim, Roberta A. Berard, Matthew Berkowitz, Jean‐Philippe Proulx‐Gauthier, Brian M. Feldman, Nicole Johnson, Dax G. Rumsey, Heinrike Schmeling, Lori B. Tucker, Thomas Loughin, Kristin M. Houghton, Jaime Guzman, for the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry Investigators, David A. Cabral, Gaëlle Chédeville, Ciarán M. Duffy, Kerstin Gerhold, Jaime Guzman, Linda Hiraki, Adam M. Huber, Heinrike Schmeling, Natalie J. Shiff, Lori B. Tucker, Julie Barsalou, Daniah Basodan, Michelle Batthish, Roberta A. Berard, Nicholas Blanchette, Gilles Boire, Roxana Bolaria, Alessandra Bruns, David A. Cabral, Sarah Campillo, Tania Cellucci, Mercedes Chan, Gaëlle Chédeville, Amieleena Chhabra, Julie Couture, Paul Dancey, Jean‐Jacques De Bruycker, Erkan Demirkaya, Muhammed Dhalla, Ciarán M. Duffy, Talal El Tal, Tommy Gerschman, Jaime Guzman, Liane Heale, Julie Herrington, Kristin M. Houghton, Adan M. Huber, Andrea Human, Nicole Johnson, Roman Jurencak, Bianca Lang, Claire LeBlanc, Lillian Lim, Lily S. H. Lim, Nadia Luca, Jeanine McColl, Tara McGrath, Tamara McMillan, Megan McPherson, Paivi Miettunen, Kimberly Morishita, Honyan Ng, Jonathan Park, Jean‐Philippe Proulx‐Gauthier, Johannes Roth, Evelyn Rozenblyum, Dax G. Rumsey, Heinrike Schmeling, Rosie Scuccimarri, Gordon Soon, Rebeka Stevenson, Elizabeth Stringer, Herman Tam, Lori B. Tucker, Marinka Twilt, Ruud H. J. Verstegen, Karen Watanabe Duffy   +81 more
wiley   +1 more source

Recent Applications of Bayesian Methods to the Solar Corona

Frontiers in Astronomy and Space Sciences, 2022
Solar coronal seismology is based on the remote diagnostics of physical conditions in the corona of the Sun by comparison between model predictions and observations of magnetohydrodynamic wave activity.
Iñigo Arregui, Iñigo Arregui
doaj   +1 more source