Results 251 to 260 of about 158,226 (307)

Bayesian transformation model for spatial partly interval-censored data. [PDF]

J Appl Stat
Qiu M, Hu T.
europepmc   +1 more source

Neonatal developmental and epileptic encephalopathy with movement disorder and arthrogryposis: A shared phenotype across brain‐expressed sodium channelopathies

Epilepsia, EarlyView.
Abstract Objective Neonatal developmental and epileptic encephalopathy with movement disorder and arthrogryposis (NDEEMA) represents the most severe end of the gain‐of‐function (GOF) SCN1A disorder spectrum. Sporadic cases of congenital arthrogryposis have also been reported in individuals with SCN2A‐, SCN3A‐, and SCN8A‐related developmental and ...
Sopio Gverdtsiteli, Sebastian Ortiz, Tobias Brünger, Francesca Furia, Carmen Barba, Trine Bjørg‐Hammer, Ingo Borggraefe, Roberto Caraballo, Sebahattin Cirak, Alberto Espeche, Walid Fazeli, Renzo Guerrini, Matias Juanes, Karin Kassahn, Maria Kinali, Johannes Krämer, Judith Kröll, Maria Concepción Miranda Herrero, Renske Oegema, Katrin Ounap, Oscar Peñuela, Konrad Platzer, Asuri Narayan Prasad, Aurora Pujol, Karit Reinson, Alfonso Represa, Eugenia Roza, Gabriela Reyes Valenzuela, Agustí Rodríguez‐Palmero, Suzanne Sallevelt, Maria Iciar Sanchez‐Albiusa, Ingrid E. Scheffer, Cory Smid, Carl E. Stafstrom, Eva‐Lena Stattin, Jen R. Suarez, Steffen Syrbe, Kette D. Valente, Matias Wagner, Saskia Wortmann, Elena Gardella, Dennis Lal, Andreas Brunklaus, Rikke S. Møller   +43 more
wiley   +1 more source

PICBayes: Bayesian proportional hazards models for partly interval-censored data. [PDF]

Commun Stat Simul Comput
Pan C, Cai B.
europepmc   +1 more source

Febrile status epilepticus and epileptogenesis: The FEBSTAT study

Epilepsia Open, EarlyView.
Abstract The multicenter FEBSTAT study (Consequences of Prolonged Febrile Seizures in Childhood: https://grantome.com/grant/NIH/R37‐NS043209‐12; PI S. Shinnar) examined the outcome of febrile status epilepticus (FSE) in over 200 prospectively enrolled infants, with many followed for 10 years after FSE.
Darrell V. Lewis, Douglas R. Nordli Jr., Douglas R. Nordli III, Shlomo Shinnar, Stephen Chan, Jacqueline A. Bello, L. Matthew Frank, James Voyvodic, William Gallentine, Syndi Seinfeld, Yoshimi Sogawa, Erica Weiss, David Masur, Yuan Xu, Solomon L. Moshé   +14 more
wiley   +1 more source

A New Approach to Modeling the Cure Rate in the Presence of Interval Censored Data. [PDF]

Comput Stat
Pal S, Peng Y, Aselisewine W.
europepmc   +1 more source

Bayesian and non-bayesian inference for logistic-exponential distribution using improved adaptive type-II progressively censored data. [PDF]

PLoS One
Dutta S, Alqifari HN, Almohaimeed A.
europepmc   +1 more source

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Regression with Censored Data

Biometrika, 1982
SUMMARY There are four regression techniques currently available for use with censored data which do not assume particular parametric families of survival distributions. They are due to (i) Cox (1972), (ii) Miller (1976), (iii) Buckley & James (1979), and (iv) Koul, Susarla & Van Ryzin (1981).
Miller, Rupert, Halpern, Jerry
openaire   +2 more sources

Quantile Autoregression for Censored Data

Journal of Time Series Analysis, 2016
Quantile autoregression (QAR) is particularly attractive for censored data. However, unlike the standard regression models, the autoregressive models must take account of censoring on both response and regressors. In this article, we show that the existing censored quantile regression methods produce consistent estimators for QAR models when using only
Choi, Seokwoo Jake, Portnoy, Stephen
openaire   +2 more sources

Laplace regression with censored data

Biometrical Journal, 2010
AbstractWe consider a regression model where the error term is assumed to follow a type of asymmetric Laplace distribution. We explore its use in the estimation of conditional quantiles of a continuous outcome variable given a set of covariates in the presence of random censoring. Censoring may depend on covariates.
Bottai, Matteo, Zhang, Jiajia
openaire   +2 more sources