Results 51 to 60 of about 16,351 (263)

Parameter uncertainties for imperfect surrogate models in the low-noise regime

Machine Learning: Science and Technology
Bayesian regression determines model parameters by minimizing the expected loss, an upper bound to the true generalization error. However, this loss ignores model form error, or misspecification, meaning parameter uncertainties are significantly ...
Thomas D Swinburne, Danny Perez
doaj   +1 more source

Accuracy of attribute estimation in the crossed random effects linear logistic test model: impact of Q-matrix misspecification

Frontiers in Education
A simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification on attribute parameter estimation using the SAS ...
Yi-Hsin Chen, Isaac Y. Li, Chunhua Cao, Yan Wang   +3 more
doaj   +1 more source

Impact of empiric potassium supplementation on mortality, sudden cardiac arrest and stroke in furosemide initiators

British Journal of Clinical Pharmacology, EarlyView.
Aim A prior non‐randomized study suggests that potassium supplementation may improve survival among furosemide initiators, and a randomized trial suggests that salt substitutes containing potassium might lower stroke risk. We conducted a retrospective cohort study using health‐care data to confirm or refute these associations among new users of ...
Thanh Phuong Pham Nguyen, Sean Hennessy, Colleen M. Brensinger, Warren B. Bilker, Laura M. Dember, Todd A. Miano, Tat‐Thang Vo, Allison W. Willis, Charles E. Leonard   +8 more
wiley   +1 more source

Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment

BMC Genetics, 2006
Background Studies of model-based linkage analysis show that trait or marker model misspecification leads to decreasing power or increasing Type I error rate.
Wilson Alexander F, Atwood Larry D, Sorant Alexa JM, Mandal Diptasri M, Bailey-Wilson Joan E   +4 more
doaj   +1 more source

Pregnancy‐related effect on elexacaftor, tezacaftor and ivacaftor pharmacokinetics in women with cystic fibrosis

British Journal of Clinical Pharmacology, EarlyView.
Aim The number of pregnancies among women with cystic fibrosis (wwCF) has steadily increased over the past decade. However, the pharmacokinetics (PK) of elexacaftor–tezacaftor–ivacaftor (ETI) during gestation remains uncharacterized, despite its widespread use in this population.
Paulette Magnas, Naim Bouazza, Frantz Foissac, Saïk Urien, Léo Froelicher‐Bournaud, Gabrielle Lui, Victoria Guillemart, Nicolas Carlier, Jennifer Da Silva, Johanna Fesenbeckh, Reem Kanaan, Isabelle Honoré, Clémence Martin, Jean‐Marc Treluyer, Vassilis Tsatsaris, Pierre‐Régis Burgel, Sihem Benaboud   +16 more
wiley   +1 more source

Assessing misspecification of individual homogeneity assumption in multi-state models based on asymptotic theory

Journal of Biostatistics and Epidemiology, 2015
Background & Aim: Multi-state models can help better understand the process of chronic diseases such as cancers.  These models  are influenced  by assumptions  like individual  homogeneity.
Ali Zare, Mahmood Mahmoodi, Kazem Mohammad, Hojjat Zeraati, Mostafa Hosseini, Kourosh Holakouie-Naieni   +5 more
doaj  

An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout

Journal of Probability and Statistics, 2019
In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared ...
Amal Almohisen, Robin Henderson, Arwa M. Alshingiti   +2 more
doaj   +1 more source

Can quartet analyses combining maximum likelihood estimation and Hennigian logic overcome long branch attraction in phylogenomic sequence data? [PDF]

PLoS ONE, 2017
Systematic biases such as long branch attraction can mislead commonly relied upon model-based (i.e. maximum likelihood and Bayesian) phylogenetic methods when, as is usually the case with empirical data, there is model misspecification.
Patrick Kück, Mark Wilkinson, Christian Groß, Peter G Foster, Johann W Wägele   +4 more
doaj   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

The Perils of Environmental, Social, and Governance (ESG) Controversies: Implications for a Firm's Financial and Nonfinancial Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT Although ESG controversies are on the rise, research investigating them yields contradictory findings. The paper provides resolutions to the debate through investigating (a) how ESG controversies influence firms' short‐term and long‐term financial performance; (b) how firms navigate ESG controversies' effect; and (c) how ESG controversies ...
Amalesh Sharma, Sourav Bikash Borah, Anirban Adhikary, Sanjay Kumar Jena   +3 more
wiley   +1 more source