A shared parameter mixture model for longitudinal income data with missing responses and zero rounding

2021 ◽  
Author(s):  
Francis K.C. Hui ◽  
Howard D. Bondell
Keyword(s):  
Mixture Model ◽  
Missing Responses ◽  
Income Data

The association of Raynaud’s phenomenon/syndrome with scleroderma and Sjögren’s syndrome – a meta-analysis

VASA ◽  
2008 ◽  
Vol 37 (Supplement 73) ◽  
pp. 26-32 ◽  
Author(s):  
Schlattmann ◽  
Höhne ◽  
Plümper ◽  
Heidrich
Keyword(s):  
Quantitative Analysis ◽  
Sjögren’S Syndrome ◽  
Mixture Model ◽  
Sjögren's Syndrome ◽  
Meta Analysis ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Raynaud’S Syndrome ◽  
Raynaud's Syndrome ◽  
Sjögren‘S Syndrome

Background: In order to analyze the prevalence of Raynaud’s syndrome in diseases such as scleroderma and Sjögren’s syndrom – a meta-analysis of published data was performed. Methods: The PubMed data base of the National Library of Medicine was used for studies dealing with Raynaud’s syndrome and scleroderma or Raynaud’s syndroem and Sjögren’s syndrom respectively. The studies found provided data sufficient to estimate the prevalence of Raynaud’s syndrome. The statistical analysis was based on methods for a fixed effects meta-analysis and finite mixture model for proportions. Results: For scleroderma a pooled prevalence of 80.9% and 95% CI (0.78, 0.83) was obtained. A mixture model analysis found four latent classes. We identified a class with a very low prevalence of 11%, weighted with 0.15. On the other hand there is a class with a very high prevalence of 96%. Analysing the association with Sjögren’s syndrome, the pooled analysis leads to a prevalence of Raynaud’s syndrome of 32%, 95% CI(26.7%, 37.7%). A mixture model finds a solution with two latent classes. Here, 38% of the studies show a prevalence of 18.8% whereas 62% observe a prevalence of 38.3%. Conclusion: There is strong variability of studies reporting the prevalence of Raynaud’s syndrome in patients suffering from scleroderma or Sjögren’s syndrome. The available data are insufficient to perform a proper quantitative analysis of the association of Raynaud’s phenomenon with scleroderma or Sjögren’s syndrome. Properly planned and reported epidemiological studies are needed in order to perform a thorough quantitative analysis of risk factors for Raynaud’s syndrome.

SATUAN TIMBULAN DAN KOMPOSISI SAMPAH DOMESTIK KABUPATEN TANAH DATAR

Jurnal Dampak ◽  
2014 ◽  
Vol 11 (1) ◽  
pp. 28 ◽  
Author(s):  
Yommi Dewilda ◽  
Yeggi Darnas
Keyword(s):  
Low Income ◽  
High Income ◽  
Income Data

Penelitian ini bertujuan untuk mendapatkan data timbulan dan komposisi sampah domestik di Kabupaten Tanah Datar serta dapat membandingkan perbedaan timbulan dan komposisi sampah yang dihasilkan berdasarkan tingkat pendapatan masyarakat (High income, Medium income dan Low income). Data timbulan dan komposisi sampah diperlukan dalam perencanaan dan pengembangan sistem pengelolaan sampah. Sampling timbulan dan jumlah sampling dilakukan berdasarkan SNI 19-3964-1994. Hasil penelitian timbulan sampah domestik dalam satuan berat 0,232 kg/o/h dan dalam satuan volume 3,646 l/o/h. Berdasarkan tingkat pendapatan dalam satuan berat High Income (HI) 0,308 kg/o/h, Medium Income (MI) 0,198 kg/o/h dan Low Income (LI) 0,190 kg/o/h dalam satuan volume HI 4,269 l/o/h, MI 3,835 l/o/h dan LI 2,835 l/o/h. Timbulan sampah yang dihasilkan penduduk dengan High Incame lebih besar dibandingkan dengan penduduk dengan pendapatan Medium Income dan Low Income. Komposisi sampah domestik untuk sampah basah 75,5%; sampah plastik 16,6%; sampah kertas 5,3%; sampah tekstil 0,8%; sampah kayu 0,3%; sampah kaca 0,7%; sampah logam ferrous 0,2%; sampah logam non ferrous 0,1%; dan sampah lain-lain 0,5%.Kata kunci: sampah domestik, komposisi sampah, timbulan Sampah

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