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المؤلفون: Rachael A. Hughes, Jonathan W. Bartlett
المصدر: Bartlett, J & Hughes, R 2020, ' Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification ', Statistical Methods in Medical Research . https://doi.org/10.1177/0962280220932189
Bartlett, J W & Hughes, R A 2020, ' Bootstrap Inference for Multiple Imputation under Uncongeniality and Misspecification ', Statistical Methods in Medical Research . https://doi.org/10.1177/0962280220932189
Statistical Methods in Medical Researchمصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Statistics::Theory, Computer science, Epidemiology, Inference, Analysis models, 01 natural sciences, Methodology (stat.ME), 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Health Information Management, Frequentist inference, Econometrics, Statistics::Methodology, 030212 general & internal medicine, Imputation (statistics), 0101 mathematics, bootstrap, Statistics - Methodology, Models, Statistical, Statistics::Applications, Articles, Variance (accounting), Missing data, Quantitative Biology::Genomics, Confidence interval, congeniality, Bootstrapping (electronics), Data Interpretation, Statistical, Multiple imputation
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https://purehost.bath.ac.uk/ws/files/205488484/BootstrapMIPaper_2020_05_14.pdf -
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المؤلفون: Mark Gompels, Martin Fisherg, Jonathan A C Sterne, Rachael A. Hughes, Sophie Jose, Fabiola Martin, John P. Walsh, Jane Anderson, Mark T. Nelson, Adrian Palfreeman, Phillip Hay, Roy Trevelion, David Dunn, Caroline A. Sabin, Clifford Leen, Teresa Hill, Richard Gilson, Margaret A. Johnson, Jonathan Ainsworth, Kate Tilling, Stephen Kegg, Chloe Orkin, Frank A. Post
المصدر: AIDS (London, England)
Hughes, R A, Sterne, J A C, Walsh, J, Post, F, Nelson, M, Jose, S, Hill, T, Tilling, K, Fisherg, M, Dunn, D, Trevelion, R, Palfreeman, A, Martin, F, Gompels, M, Leen, C, Johnson, M, Gilson, R, Anderson, J, Ainsworth, J, Hay, P, Orkin, C, Kegg, S, Sabin, C A 2016, ' Predicting virological decay in patients starting combination antiretroviral therapy ', AIDS, vol. 30, no. 11, pp. 1817-1827 . https://doi.org/10.1097/QAD.0000000000001125
2016, ' Predicting virological decay in patients starting combination antiretroviral therapy ', AIDS, vol. 30, no. 11, pp. 1817-1821 . https://doi.org/10.1097/QAD.0000000000001125مصطلحات موضوعية: 0301 basic medicine, Male, Time Factors, Sustained Virologic Response, CD4 cell count, HIV Infections, 0302 clinical medicine, BASE-LINE FACTORS, Antiretroviral Therapy, Highly Active, INFECTION, EQUAL ACCESS, Immunology and Allergy, Medicine, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, IN-VIVO, CD4+ cell count, Middle Aged, Viral Load, Random effects model, 3. Good health, viral load, PROSTATE-CANCER, Infectious Diseases, Anti-Retroviral Agents, Cohort, combination antiretroviral therapy, Female, Viral load, Cohort study, Cart, Adult, medicine.medical_specialty, CD4(+) cell count, Epidemiology and Social, Immunology, predicted virological suppression, 03 medical and health sciences, Internal medicine, Humans, Protease inhibitor (pharmacology), COHORT, LOAD, VIRAL DYNAMICS, Models, Statistical, business.industry, 030112 virology, United Kingdom, treatment switch, HIV-1 RNA DYNAMICS, Diagnostic odds ratio, HIV-1, business, RESPONSES
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http://europepmc.org/articles/PMC4933580 -
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المؤلفون: Rachael A. Hughes, Shaun R. Seaman
المساهمون: Seaman, Shaun [0000-0003-3726-5937], Apollo - University of Cambridge Repository
المصدر: Statistical Methods in Medical Research
Seaman, S R & Hughes, R A 2018, ' Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible : The general location model ', Statistical Methods in Medical Research, vol. 27, no. 6, pp. 1603-1614 . https://doi.org/10.1177/0962280216665872مصطلحات موضوعية: Statistics and Probability, informative margins, Biomedical Research, linear discriminant analysis, Epidemiology, log linear model, Compatibility, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, symbols.namesake, missing data, 0302 clinical medicine, Health Information Management, Discriminative model, Bias, Gibbs sampler, Econometrics, Statistics::Methodology, 030212 general & internal medicine, 0101 mathematics, Mathematics, Randomized Controlled Trials as Topic, chained equations, Models, Statistical, Statistics::Applications, Location model, Regression analysis, Articles, Linear discriminant analysis, Missing data, Quantitative Biology::Genomics, congeniality, Efficiency, Data Interpretation, Statistical, symbols, Regression Analysis, Log-linear model, Algorithms, Gibbs sampling
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9dbf465d3a1fd9393d6b35fa776b58
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المؤلفون: Rachael A. Hughes, Ninon Taylor, John Gill, Jodie L. Guest, Viviane D. Lima, Linda Wittkop, Antonella d'Arminio Monforte, Jonathan A C Sterne, Dominique Costagliola, Peter Reiss, Philipp Schommers, Jessica L Castilho, Colette Smith, Michael S. Saag, Matthias Cavassini, Margaret T May, Kate Tilling
المساهمون: Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Infectious diseases, AII - Infectious diseases, APH - Aging & Later Life, Global Health
المصدر: AIDS. Official journal of the international AIDS Society
AIDS. Official journal of the international AIDS Society, Wolters Kluwer Health, 2018, 32 (10), pp.1361-1367. ⟨10.1097/qad.0000000000001848⟩
AIDS (London, England), 32(10), 1361-1367. Lippincott Williams and Wilkins
AIDS, vol. 32, no. 10, pp. 1361-1367مصطلحات موضوعية: Adult, CD4-Positive T-Lymphocytes, Male, 0301 basic medicine, medicine.medical_specialty, Adolescent, Immunology, Cell, Population, CD4-CD8 Ratio, Urology, HIV Infections, CD8-Positive T-Lymphocytes, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Anti-Retroviral Agents/therapeutic use, CD4 Lymphocyte Count, CD4-Positive T-Lymphocytes/immunology, CD8-Positive T-Lymphocytes/immunology, Female, Follow-Up Studies, HIV Infections/drug therapy, HIV Infections/pathology, HIV Infections/virology, Humans, Middle Aged, Models, Statistical, Viral Load, medicine, Immunology and Allergy, MORPH3Eus, 030212 general & internal medicine, Cd4 cell count, education, ART-CC, education.field_of_study, business.industry, Random effects model, 030112 virology, Antiretroviral therapy, 3. Good health, Infectious Diseases, medicine.anatomical_structure, Anti-Retroviral Agents, CIC1401, Cohort, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, CD8
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URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0be9eceb98a8ba35c87c985bc3c8a017
https://hal.archives-ouvertes.fr/hal-03165483 -
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المؤلفون: Kate, Tilling, Corrie, Macdonald-Wallis, Debbie A, Lawlor, Rachael A, Hughes, Laura D, Howe
المصدر: Annals of Nutrition & Metabolism
مصطلحات موضوعية: Multilevel models, Models, Statistical, Published online: November, 2014, Infant, Growth, ALSPAC, Body Height, Child Development, Social Class, Child, Preschool, Linear spline models, Linear Models, Humans, Female, Longitudinal Studies, Repeated measures, Longitudinal study, Child
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المؤلفون: Rachael A. Hughes, Ian R. White, Shaun R. Seaman, James R. Carpenter, Jonathan A C Sterne, Kate Tilling
المساهمون: Seaman, Shaun [0000-0003-3726-5937], Apollo - University of Cambridge Repository
المصدر: BMC Medical Research Methodology
مصطلحات موضوعية: Biomedical Research, Epidemiology, Computer science, Statistics as Topic, Binary number, Health Informatics, Multivariate missing data, Models, Biological, symbols.namesake, Gibbs sampling, Discriminative model, Dummy variable, Joint probability distribution, Econometrics, Humans, Applied mathematics, Computer Simulation, Imputation (statistics), Categorical variable, Joint modelling imputation, Models, Statistical, Compatibility (mechanics), Chained equations imputation, Multiple imputation, symbols, Algorithms, Research Article
وصف الملف: application/pdf
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المؤلفون: Jackowski S, Ahmed Elhakeem, Li Z, Tim J Cole, Struan F.A. Grant, Debbie A Lawlor, Baxter-Jones A, Babette S. Zemel, Rachael A. Hughes, Kwong Asf, Kate Tilling, Diana L. Cousminer
المصدر: medRxiv
Elhakeem, A, Hughes, R, Tilling, K M, Cousminer, D L, Jackowski, S, Cole, T J, Kwong, A S F, Li, Z, Grant, S F A, Baxter-Jones, A, Zemel, B S & Lawlor, D A 2022, ' Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies ', BMC Medical Research Methodology, vol. 22, no. 1, 68 . https://doi.org/10.1186/s12874-022-01542-8
Elhakeem, A, Hughes, R A, Tilling, K, Cousminer, D L, Jackowski, S A, Cole, T J, Kwong, A S F, Li, Z, Grant, S F A, Baxter-Jones, A D G, Zemel, B S & Lawlor, D A 2022, ' Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies ', BMC Medical Research Methodology, vol. 22, no. 1, 68 . https://doi.org/10.1186/s12874-022-01542-8مصطلحات موضوعية: Adult, Male, Adolescent, Rotation, Bone mineral content, Computer science, Epidemiology, Health Informatics, Translation (geometry), 01 natural sciences, Cohort Studies, PBMAS, Young Adult, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, Life-course, Bone Density, BMDCS, Mixed-effects, Growth models, Tutorial, Humans, Applied mathematics, 030212 general & internal medicine, 0101 mathematics, Child, Bone growth, Models, Statistical, Statistical model, Replicate, ALSPAC, Visualization, Nonlinear system, Child, Preschool, Linear Models, Trajectory, Female, Rotation (mathematics)
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