Results 61 to 70 of about 838,163 (294)

The Covariate's Dilemma

open access: yesPLoS Genetics, 2012
An important step in analyzing genetic association study data is deciding whether to adjust for covariates—those variables ancillary to the variants of interest. In particular, when testing for novel associations, should the statistical model also include known genetic or nongenetic covariates that are predictors of the trait (e.g., body mass index ...
Joel Mefford, John S Witte
openaire   +4 more sources

List of covariates.

open access: yes, 2022
List of covariates.
Thomas P. Van Boeckel (9762212)   +3 more
core   +1 more source

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

open access: yesMolecular 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   +13 more
wiley   +1 more source

Population pharmacokinetics of imipenem in different populations for individualized dosing: a systematic review

open access: yesFrontiers in Pharmacology
BackgroundImipenem is a broad-spectrum carbapenem antibiotic for severe infections with significant pharmacokinetic (PK) variability. This review systematically synthesized published population pharmacokinetic (popPK) studies to identify key covariates ...
Ping Zhang   +7 more
doaj   +1 more source

On Dynamic Pricing with Covariates

open access: yesCoRR, 2021
We consider dynamic pricing with covariates under a generalized linear demand model: a seller can dynamically adjust the price of a product over a horizon of $T$ time periods, and at each time period $t$, the demand of the product is jointly determined by the price and an observable covariate vector $x_t\in\mathbb{R}^d$ through a generalized linear ...
Wang, Hanzhao   +2 more
openaire   +3 more sources

Competing risks models and time-dependent covariates [PDF]

open access: yes, 2008
New statistical models for analysing survival data in an intensive care unit context have recently been developed. Two models that offer significant advantages over standard survival analyses are competing risks models and multistate models.
Adrian Barnett   +3 more
core   +2 more sources

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

Spousal Concordance in Overweight and Obesity among Indian Couples: A Nationwide Analysis of Socioeconomic and Dietary Determinants

open access: yesCurrent Developments in Nutrition
Objective: This study examines the level and determinants of spousal concordance in overweight/obesity among married couples in India. Background: The rising prevalence of overweight/obesity is a growing public health concern globally.
Prashant Kumar Singh   +5 more
doaj   +1 more source

Assessment of Demographic and Socio-Behavioral Factors on Adherence to HIV Pre-Exposure Prophylaxis Using a Markov Modeling Approach

open access: yesFrontiers in Pharmacology, 2019
Purpose: Adherence is important for the effectiveness of human immunodeficiency virus (HIV) preexposure prophylaxis (PrEP). The objective of the current work is to assess the impact of multiple demographic and socio-behavioral factors on the adherence to
Surulivelrajan Mallayasamy   +7 more
doaj   +1 more source

Covariant Genetic Dynamics [PDF]

open access: yesEvolutionary Computation, 2007
We present a covariant form for the dynamics of a canonical GA of arbitrary cardinality, showing how each genetic operator can be uniquely represented by a mathematical object — a tensor — that transforms simply under a general linear coordinate transformation.
Chryssomalis Chryssomalakos   +1 more
openaire   +3 more sources

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