Results 71 to 80 of about 33,003,501 (342)

Hierarchical Interaction Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1990
SUMMARY Lauritzen and Wermuth have proposed a class of models for mixed qualitative and continuous data, defined by two properties: that the continuous variables are normally distributed given the qualitative variables and that a set of conditional independence relations hold between specified pairs of variables.
openaire   +2 more sources

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Prior distributions for variance parameters in hierarchical models [PDF]

Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Andrew Gelman
core   +2 more sources

Linking behavioral ecology and population monitoring: The importance of group size for spatial population models

Ecosphere
Modeling the spatial distribution of wildlife abundance is paramount for management. In group‐forming species, group size and occurrence may be governed by different ecological processes.
Zackary J. Delisle, Joshua H. Schmidt, Eric J. Wald, Kyle A. Cutting, Mathew S. Sorum, Buck Mangipane, Kyle Joly, Raime B. Fronstin, Matthew D. Cameron, Bridget L. Borg   +9 more
doaj   +1 more source

Hierarchical Causal Models [PDF]

J. Mach. Learn. Res.
This version cleans up an issue in Prop. 15 in App. E.1.
Weinstein, Eli N., Blei, David M.
openaire   +3 more sources

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Hierarchical-regression models between subject type, cannabis use and cognition.

, 2016
Hierarchical-regression models between subject type, cannabis use and cognition.
Sonia Ruiz de Azúa (2937684), Susana Alberich (724050), Ana M. Sánchez-Torres (2937690), Iluminada Corripio (2937693), Ana González-Pinto (623341), Miguel Bernardo (507534), Itxaso González-Ortega (724049), Manuel J. Cuesta (839494), Antonio Lobo (66434), Bibiana Cabrera (2937687), Miquel Bioque (2937678), Celso Arango (2937681)   +11 more
core   +1 more source

Hierarchical confirmatory factor analysis of the flow state scale in exercise [PDF]

, 2000
In this study, we examined the factor structure and internal consistency of the Flow State Scale using responses of exercise participants.This self-report questionnaire consists of nine subscales designed to assess flow in sport and physical activity. It
Terry, PC, Terry, Peter C., Karageorghis, Costas I., Vlachopoulos, SP, Vlachopoulos, Symeon P., Karageorghis, CI   +5 more
core   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python

Journal of Statistical Software, 2022
The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as the ...
Tomás Capretto, Camen Piho, Ravin Kumar, Jacob Westfall, Tal Yarkoni, Osvaldo A Martin   +5 more
doaj   +1 more source