Additional file 6: of Identifying subgroups of patients using latent class analysis: should we use a single-stage or a two-stage approach? A methodological study using a cohort of patients with low back pain

Components included in the consensus process to select a preferred model for the single-stage LCA approach. Model summary output from the Latent Class Analysis for all the derived models and for each of these: presentation of included variables, subgroup size, conditional probabilities and means for each subgroup, loadings and profile plots. In addition, a presentation of all profile plots at once, including a brief clinical description of the subgroups and furthermore, a more thorough preliminary description of the preferred model with seven subgroups. (XLSX 828 kb)

本数据集包含为单阶段潜在类别分析（Latent Class Analysis, LCA）方法遴选最优模型的共识流程所涉及的全部组件。数据集涵盖所有衍生模型及各单个衍生模型的潜在类别分析结果汇总，具体包括：纳入变量说明、亚组样本量、各亚组的条件概率与均值、载荷系数及轮廓图（profile plots）。此外，还包含所有轮廓图的统一展示，附带亚组的简要临床特征说明，以及针对含7个亚组的最优模型的详尽初步描述。（文件格式：XLSX，大小：828 KB）