Results 71 to 80 of about 590,268 (302)

Insensitivity Regions and Outliers in Mixed Models with Constraints

Austrian Journal of Statistics, 2016
A procedure for detecting outliers in regular linear regression models with constraints on mean value parameters is presented. A problem, how unknown variance components influence the optimum quality of used test statistics, is studied by sensitivity ...
Eva Fišerová, Lubomír Kubáček
doaj   +1 more source

A variance shilf model for outlier detection and estimation in linear and linear mixed models [PDF]

, 2008
Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
core  

A generalised likelihood framework for partially observed capture-recapture-recovery models [PDF]

, 2013
We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the state of an individual may be only partially observed.
McCrea, Rachel S., McCrea, R S, King, Ruth   +2 more
core   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Min-Max, Min-Max-Median, and Min-Max-IQR in Deciding Optimal Diagnostic Thresholds: Performances of a Logistic Regression Approach on Simulated and Real Data

Applied Medical Informatics, 2023
Combining biomarkers and their statistics is used to increase the prediction performance of a diagnosis, but no gold standard method exists. We introduced and evaluated an approach using linear combinations of summary-based statistics tested in logistic ...
Ilie-Andrei CONDURACHE, Sorana D. BOLBOACĂ   +1 more
doaj  

Forecasting industrial production with linear, nonlinear, and structural change models [PDF]

We compare the forecasting performance of linear autoregressive models, autoregressive models with structural breaks, self-exciting threshold autoregressive models, and Markov switching autoregressive models in terms of point, interval, and density ...
Dijk, D.J.C. van, Siliverstovs, B.
core   +1 more source

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

Measuring statistical anxiety and attitudes toward statistics: The development of a comprehensive Danish instrument (HFS-R)

Cogent Education, 2018
Motivated by experience with students’ psychological barriers to learning statistics, we modified and extended the Statistical Anxiety Rating Scale (STARS) to develop a contemporary and valid (face, content, criterion and construct) Danish measure of ...
Tine Nielsen, Svend Kreiner
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Data and non-linear models for the estimation of biomass growth and carbon fixation in managed forests

Data in Brief, 2019
The data and analyses presented support the research article entitled “Coupling partial-equilibrium and dynamic biogenic carbon models to assess future transport scenarios in France” (Albers et al., 2019).
Ariane Albers, Pierre Collet, Anthony Benoist, Arnaud Hélias   +3 more
doaj   +1 more source