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Latent class analysis results for perfect and imperfect approaches.
Latent class analysis results for perfect and imperfect approaches.
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Figshare
2021-02-22 更新
2026-04-28 收录
潜在类别分析
统计方法比较
数据链接:
https://figshare.com/articles/dataset/Latent_class_analysis_results_for_i_perfect_i_and_i_imperfect_i_approaches_/14078242
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资源简介:
Latent class analysis results for perfect and imperfect approaches.
应用场景:
创建时间:
2021-02-22
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Estimated power, sensitivity, and PPV with the number of matched pairs = 400 (highest value across three methods is shown in bold).
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