Results 201 to 210 of about 620,264 (256)

Validation of a Genetic Risk Score Combined With Clinical Variables for Predicting Pulmonary Fibrosis in Early Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink, Austin Wheeler, Bryant R. England, Solbritt Rantapää‐Dahlqvist   +3 more
wiley   +1 more source

Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. [PDF]

PLoS One
Chatrabgoun O, Daneshkhah A, Torkaman P, Johnston M, Sohrabi Safa N, Kashif Bashir A.   +5 more
europepmc   +1 more source

Performance Characteristics of Anti–Collagen II Antibodies in Relapsing Polychondritis and Related Diseases: Prospective Analysis, Systematic Review, and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective Relapsing polychondritis (RP) is a rare disease defined by recurrent cartilaginous inflammation. Anti–collagen II (Col2) antibodies have been proposed as a diagnostic biomarker for RP, but their performance characteristics are not well defined.
Karyssa Stonick, Marcela A. Ferrada, Alice Fike, Kaitlin A. Quinn, Benjamin A. Turturice, Casey Stein, Peter C Grayson   +6 more
wiley   +1 more source

Longitudinal impact of different treatment sequences of second-generation antipsychotics on metabolic outcomes: a study using targeted maximum likelihood estimation. [PDF]

Psychol Med
Feng Y, Wong KC, Leung PB, Lee BK, Sham PC, Lui SS, So HC.   +6 more
europepmc   +1 more source

BayesAge: A maximum likelihood algorithm to predict epigenetic age. [PDF]

Front Bioinform
Mboning L, Rubbi L, Thompson M, Bouchard LS, Pellegrini M.   +4 more
europepmc   +1 more source

Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time-To-Event Outcomes. [PDF]

Stat Med
Talbot D, Diop A, Mésidor M, Chiu Y, Sirois C, Spieker AJ, Pariente A, Noize P, Simard M, Luque Fernandez MA, Schomaker M, Fujita K, Gnjidic D, Schnitzer ME.   +13 more
europepmc   +1 more source

Revisiting the Briggs Ancient DNA Damage Model: A Fast Maximum Likelihood Method to Estimate Post-Mortem Damage. [PDF]

Mol Ecol Resour
Zhao L, Henriksen RA, Ramsøe A, Nielsen R, Korneliussen TS.   +4 more
europepmc   +1 more source

Maximum Likelihood Estimation for Unrooted 3-Leaf Trees: An Analytic Solution for the CFN Model. [PDF]

Bull Math Biol
Hill M, Roch S, Rodriguez JI.
europepmc   +1 more source

A novel maximum likelihood based probabilistic behavioral data fusion algorithm for modeling residential energy consumption. [PDF]

PLoS One
Bhowmik T, Iraganaboina NC, Eluru N.
europepmc   +1 more source

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Maximum Likelihood

2012
The maximum likelihood method is a popular statistical inferential procedure widely used in many areas to obtain the estimates of the unknown parameters of a population of interest. This chapter gives a brief description of the important concepts underlying the maximum likelihood method, the definition of the key components, the basic theory of the ...
Shuying, Yang, Daniela, De Angelis
openaire   +3 more sources