Suchergebnisse - "MULTILEVEL DATA"

Hierarchical imputation of categorical variables in the presence of systematically and sporadically missing data

Autoren: Jolani, Shahab

Quelle: Research Synthesis Methods. 16:729-757

Schlagwörter: multilevel model, missing data, MULTIPLE IMPUTATION, individual participants data (IPD) meta-analysis, multivariate imputation using chained equations (MICE), multiple imputation (MI), MULTILEVEL DATA

Zugangs-URL: https://cris.maastrichtuniversity.nl/en/publications/3aa2712d-5587-4486-b5ed-d6dff90ec5d5
https://doi.org/10.1017/rsm.2025.10017

A survey dataset on residents’ attitudes and behaviors in major cities in Japan: Geo-social survey for Urban Lifestyle Preferences (GULP)Social Science Japan Data Archive

Autoren: Tomoya Hanibuchi Akio Muranaka Naoto Yabe et al.

Quelle: Data in Brief, Vol 61, Iss, Pp 111859-(2025)

Schlagwörter: Neighborhood effect, Q1-390, Geospatial analysis, Science (General), Micro data, Computer applications to medicine. Medical informatics, R858-859.7, Online survey, Multilevel data, Address information

Zugangs-URL: https://doaj.org/article/61d574e2d3354b16b1f2d51d777a2fe3

Is the Contact Effect Related to Age?: An Empirical Investigation of French Multilevel Data

Autoren: Magni-Berton, Raùl François, Abel Sawadogo, R. et al.

Weitere Verfasser: Magni-Berton, Raùl François, Abel Sawadogo, R. et al.

Schlagwörter: Age, Contact effects, Immigration, [SHS] Humanities and Social Sciences, Tolerance, Multilevel data, [QFIN] Quantitative Finance [q-fin]

Zugangs-URL: https://shs.hal.science/halshs-05187377v1

Migration and changing settlement patterns: multilevel data for policy

Autoren: Human Sciences Research Council

Schlagwörter: Migration and changing settlement patterns: multilevel data for policy

Multilevel data analysis

Autoren: Human Sciences Research Council

Schlagwörter: Multilevel data analysis

Hierarchical Mixture of Finite Mixtures

Autoren: Colombi, Alessandro Argiento, Raffaele Camerlenghi, Federico et al.

Quelle: Bayesian Analysis.

Schlagwörter: Model-based clustering, multilevel data , Partial exchangeability , Sports analytics, vector of finite Dirichlet processes, Methodology (stat.ME), FOS: Computer and information sciences, Statistics - Methodology

Zugangs-URL: http://arxiv.org/abs/2310.20376
https://hdl.handle.net/10281/547529
https://doi.org/10.1214/24-ba1501

Lists of individual and community level factors affecting adherence to iron-folic acid supplementation among pregnant women in Kenya, KDHS 2022.

Autoren: Gebrie Getu Alemu Dagnew Getnet Adugna Amare Mesfin et al.

Schlagwörter: Medicine, Cell Biology, Biotechnology, Sociology, Cancer, Science Policy, Mental Health, Infectious Diseases, likelihood increasing steadily, implementing customized interventions, folic acid supplementation, folic acid deficiency, five pregnant women, despite several studies, conducted using data, adjusted odds ratio, 2022 kenyan demographic, multivariable multilevel mixed, kenya using data, secondary data analysis, multilevel data analysis, considered statistically significant, 2022 kenya demographic, starting antenatal care, pregnancy reduced adherence, +iron%22">xlink "> iron, assess ifas adherence, %22">xlink ">, antenatal care, official demographic

Verfügbarkeit: https://doi.org/10.1371/journal.pone.0329458.s001
https://figshare.com/articles/journal_contribution/Lists_of_individual_and_community_level_factors_affecting_adherence_to_iron-folic_acid_supplementation_among_pregnant_women_in_Kenya_KDHS_2022_/29797592

Fruit and vegetable consumption across population segments: evidence from a national household survey

Autoren: Kucuk, Nihat Urak, Faruk Bilgic, Abdulbaki et al.

Schlagwörter: Fruits and vegetable intake, Individual characteristics, Households, Obese, Income, Walking, Intra-familial heterogeneity, Multilevel data, Random-effects bivariate probit, Turkey

Relation: Journal of Health Population and Nutrition; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11552/7499; 42; WOS:001003495800002; Q2; Q3

Verfügbarkeit: https://hdl.handle.net/11552/7499
https://doi.org/10.1186/s41043-023-00382-6

Mixed-effect models with trees

Autoren: Anna Gottard Giulia Vannucci Leonardo Grilli et al.

Quelle: Advances in Data Analysis and Classification. 17:431-461

Schlagwörter: Multilevel data, Interaction effects, Recursive partitioning, Regression trunk models, 0502 economics and business, 05 social sciences, 0101 mathematics, Multilevel data, Interaction effects, Recursive partitioning, Regression trunk models, 01 natural sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11588/954602
https://link.springer.com/article/10.1007/s11634-022-00509-3

A Multilevel Synchronized Optical Pulsed Modulation for High Efficiency Biotelemetry

Autoren: Guido Di Patrizio Stanchieri Andrea De Marcellis Graziano Battisti et al.

Quelle: IEEE Transactions on Biomedical Circuits and Systems. 16:1313-1324

Schlagwörter: High Data Rate Link, High Efficiency Communication System, Multilevel Data Coding, Optical Biotelemetry, Pulse Modulation, Synchronized Pulsed Position Modulation, Lasers, 0202 electrical engineering, electronic engineering, information engineering, Humans, Optical Devices, Signal Processing, Computer-Assisted, Equipment Design, Prostheses and Implants, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36155429
https://hdl.handle.net/11697/192619
https://doi.org/10.1109/TBCAS.2022.3209542

Detecting differential item functioning in presence of multilevel data: do methods accounting for multilevel data structure make a DIFference?

Autoren: Dubravka Svetina Valdivia Sijia Huang Preston Botter

Quelle: Frontiers in Education, Vol 9 (2024)

Schlagwörter: measurement invariance, differential item functioning (DIF), multilevel data, 0504 sociology, 05 social sciences, fairness, Education (General), L7-991, simulation study, 0503 education

Zugangs-URL: https://doaj.org/article/4fb58f4d3c794d10822f0170277fe58b

Multiple imputation of ordinal missing not at random data

Autoren: Angelina Hammon

Quelle: AStA Advances in Statistical Analysis. 107:671-692

Schlagwörter: ddc:510, Missingness not at random, 4. Education, Selection model, Multiple imputation, Ordinal data, 0101 mathematics, 01 natural sciences, Fully conditional specification, Multilevel data

Zugangs-URL: https://hdl.handle.net/10419/308178

Multiple imputation methods for missing multilevel ordinal outcomes

Autoren: Mei Dong Aya Mitani

Quelle: BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)

Schlagwörter: Multiple imputation, Multilevel data, Ordinal outcomes, Generalized estimating equations, Informative cluster size, Medicine (General), R5-920

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1471-2288

Zugangs-URL: https://doaj.org/article/3dde881c75a84a5ea5f34664ac6affd9

OPTIMAL MULTILEVEL MATCHING USING NETWORK FLOWS : AN APPLICATION TO A SUMMER READING INTERVENTION

Autoren: Pimentel, Samuel D. Page, Lindsay C. Lenard, Matthew et al.

Quelle: The Annals of Applied Statistics, 2018 Sep 01. 12(3), 1479-1505.

Zugangs-URL: https://www.jstor.org/stable/26542582

Multilevel survival analysis of factors associated with under-five mortality in Manipur

Autoren: Leishangthem Suresh Singh Salam Shantikumar Singh

Quelle: Indian Journal of Public Health, Vol 67, Iss 1, Pp 72-77 (2023)

Schlagwörter: multilevel data structure, multilevel mixed effect model, under-five mortality, weibull parametric model, Public aspects of medicine, RA1-1270

Dateibeschreibung: electronic resource

Relation: http://www.ijph.in/article.asp?issn=0019-557X;year=2023;volume=67;issue=1;spage=72;epage=77;aulast=Singh; https://doaj.org/toc/0019-557X

Zugangs-URL: https://doaj.org/article/ba384162049a42c88a8f9ce78fbee099

การเปรียบเทียบประสิทธิภาพของวิธีทดแทนค่าสูญหายแบบพหุในข้อมูลพหุระดับ: การศึกษาด้วยการจำลองข้อมูลComparison of the Efficiency of Multiple Imputation in Multilevel Data: A Simulation Study

Autoren: Chimsud, Nuanrat Ratchaprapapornkul, Prapasiri Srisuttiyakorn, Siwachot et al.

Weitere Verfasser: Chimsud, Nuanrat Ratchaprapapornkul, Prapasiri Srisuttiyakorn, Siwachot et al.

Quelle: วารสารวิชาการพระจอมเกล้าพระนครเหนือ (The Journal of King Mongkut's University of Technology North Bangkok); Vol 34, No 2 (2024): April-June; ID. 242-126075 ; 2985-2145 ; 2985-2080

Schlagwörter: การทดแทนค่าข้อมูลสูญหาย, ข้อมูลพหุระดับ, โมเดลสัมประสิทธิ์ความถดถอยแบบสุ่มMissing Data, Multilevel Data, Random Coefficients Model, Multiple Imputation, Simulation

Dateibeschreibung: application/pdf

Relation: http://www.ojs.kmutnb.ac.th/index.php/kjournal/article/view/6075/5073; http://www.ojs.kmutnb.ac.th/index.php/kjournal/article/downloadSuppFile/6075/1865; http://www.ojs.kmutnb.ac.th/index.php/kjournal/article/downloadSuppFile/6075/1866; http://www.ojs.kmutnb.ac.th/index.php/kjournal/article/view/6075

Verfügbarkeit: http://www.ojs.kmutnb.ac.th/index.php/kjournal/article/view/6075
https://doi.org/10.14416/j.kmutnb.2024.03.009

Handling Missing Outcome Data in Cluster Randomized Trials with Both Individual- and Cluster-Level Dropout

Autoren: Avila, Analissa Danielle

Schlagwörter: Biostatistics, clustered data, missing data, missing not at random, multilevel data, multiple imputation, systematically missing

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/3qs538tc
https://escholarship.org/content/qt3qs538tc/qt3qs538tc.pdf

Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data

Autoren: Linying Ji Yanling Li Lindsey N. Potter et al.

Quelle: Front Digit Health
Frontiers in Digital Health, Vol 5 (2023)

Schlagwörter: multilevel data, multilevel Bayesian vector autoregressive model, multilevel multiple imputation, Electronic computers. Computer science, ecological momentary assessments, Medicine, Digital Health, QA75.5-76.95, Public aspects of medicine, RA1-1270, non-ignorable missing data

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38026834
https://doaj.org/article/58b03fa0813c454396d8c5d1ccbb62a0

Is the Contact Effect Related to Age? ; Is the Contact Effect Related to Age?: An Empirical Investigation of French Multilevel Data

Autoren: Magni-Berton, Raùl François, Abel Sawadogo, R., Frans Leny et al.

Weitere Verfasser: Magni-Berton, Raùl François, Abel Sawadogo, R., Frans Leny et al.

Quelle: Intergroup Contact, Friendships and Prejudice Reduction in Multiethnic Schools and Communities. Sociological, Psychological and Pedagogical Research and Theory ; https://shs.hal.science/halshs-05187377 ; Alessandro Bergamaschi; Cinzia Pica. Intergroup Contact, Friendships and Prejudice Reduction in Multiethnic Schools and Communities. Sociological, Psychological and Pedagogical Research and Theory, Routledge, 2025, 9781003465317

Schlagwörter: Contact effects, Multilevel data, Tolerance, Age, Immigration, [SHS]Humanities and Social Sciences, [QFIN]Quantitative Finance [q-fin]

Verfügbarkeit: https://shs.hal.science/halshs-05187377

The Impact of Ignoring Multilevel Data Structure on the Estimation of Dichotomous Item Response Theory Models

Autoren: Hyung Rock LEE Sunbok LEE Jaeyun SUNG

Quelle: International Journal of Assessment Tools in Education, Vol 6, Iss 1, Pp 92-108 (2019)
Volume: 6, Issue: 1 92-108
International Journal of Assessment Tools in Education

Schlagwörter: Item Response Theory, Rasch, Multilevel Data, Monte Carlo Simulation, Eğitim Üzerine Çalışmalar, rasch, multilevel data, 0504 sociology, 05 social sciences, Studies on Education, item response theory, monte carlo simulation, 0503 education, Education

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/en/download/article-file/643547
https://doaj.org/article/547470cb30974bd5897263c29f5acec4
https://dergipark.org.tr/tr/download/article-file/643547
https://dergipark.org.tr/tr/pub/ijate/issue/40373/523586
https://files.eric.ed.gov/fulltext/EJ1246181.pdf
https://dergipark.org.tr/tr/pub/ijate/issue/40373/523586