Results 101 to 110 of about 475,024 (262)

randomLCA: An R Package for Latent Class with Random Effects Analysis

Journal of Statistical Software, 2017
Latent class is a method for classifying subjects, originally based on binary outcome data but now extended to other data types. A major difficulty with the use of latent class models is the presence of heterogeneity of the outcome probabilities within ...
Ken J. Beath
doaj   +1 more source

Estimation of a latent class discrete choice panel data model via Maximum Likelihood and EM algorithms in Stata [PDF]

This pdf contains a do file that shows how to estimate a latent class discrete choice panel data model in Stata via Maximum Likelihood and an EM algorithm.Stata; code; routine; EM algorithm; latent class models;
Pacifico, Daniele
core   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

Advanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun, Sanchali Mitra, Hongxi Su, Jiali Huo, Haofei Zheng, Michel Bosman, Yee Sin Ang, Kah‐Wee Ang   +7 more
wiley   +1 more source

Economic Valuation of Geosystem Services in Agricultural Products: A Small-Sample Pilot Study on Rotella Apple and Moscatello Wine

Land
Soils are critical natural resources, yet their abiotic contributions to ecosystem services remain largely unexplored in valuation studies. This pilot study represents, to the best of our knowledge, the first attempt to assess the perceived value of ...
Barbara Cavalletti, Fedra Gianoglio, Maria Rocca, Pietro Marescotti   +3 more
doaj   +1 more source

Cluster Individuals Based on Phenotype and Determine the Risk for Atrial Fibrillation in the PREVEND and Framingham Heart Study Populations.

PLoS ONE, 2016
BackgroundRisk prediction of atrial fibrillation (AF) is of importance to improve the early diagnosis and treatment of AF. Latent class analysis takes into account the possible existence of classes of individuals each with shared risk factors, and maybe ...
Michiel Rienstra, Bastiaan Geelhoed, Xiaoyan Yin, Joylene E Siland, Rob A Vermond, Bart A Mulder, Pim Van Der Harst, Hans L Hillege, Emelia J Benjamin, Isabelle C Van Gelder   +9 more
doaj   +1 more source

Latent Class Models of Early-life Trauma and Incident Breast Cancer. [PDF]

Epidemiology, 2022
Woo JMP, Simanek A, O'Brien KM, Parks C, Gaston S, Auer PL, Konkel RH, Jackson CL, Meier HCS, Sandler DP.   +9 more
europepmc   +1 more source

From Clinic to Computation: Multiscale Bioengineering Strategies for Durable Biological Aortic Valve Replacements

Advanced Functional Materials, EarlyView.
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco, Pierfrancesco Gaziano, Serena Anglese, Simone Morganti, Carlo de Vincentiis, Ferdinando Auricchio, Michele Marino, Michele Conti   +7 more
wiley   +1 more source

Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models. [PDF]

J Med Virol, 2022
Staerk-Østergaard J, Kirkeby C, Christiansen LE, Andersen MA, Møller CH, Voldstedlund M, Denwood MJ.   +6 more
europepmc   +1 more source

Estimating Multiple Classification Latent Class Models

Psychometrika, 1999
This paper presents a new class of models for persons-by-items data. The essential new feature of this class is the representation of the persons: every person is represented by its membership to multiple latent classes, each of which belongs to one latent classification.
openaire   +3 more sources

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source