Papers: 10.1093/rheumatology/keaa497
https://doi.org/10.1093/rheumatology/keaa497
Identification and prediction of novel classes of long-term disease trajectories for patients with juvenile dermatomyositis using growth mixture models
Cited by: 5
Author(s): Claire T. Deakin, Charalampia Papadopoulou, Liza McCann, Neil Martin, Muthana Al-Obaidi, Sandrine Compeyrot-Lacassagne, Clarissa Pilkington, Sarah Tansley, Neil McHugh, Lucy R. Wedderburn, Bianca L De Stavola
Published: over 4 years ago
Software Mentions 5
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Lasso and Elastic-Net Regularized Generalized Linear ModelsPapers that mentioned: 1,607
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cran: lcmm
Extended Mixed Models Using Latent Classes and Latent ProcessesPapers that mentioned: 46
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cran: longCatEDA
Package for Plotting Categorical Longitudinal and Time-Series DataPapers that mentioned: 2
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