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临床预测模型构建&机器学习（R语言进阶）-讲义等辅助资料 2023-07-06 21:45:58 | |||
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0 临床预测模型简介及课程内容概要【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 202.04 MB | |
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1.1 Logistic回归【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 290.24 MB | |
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1.2 泊松回归【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 170.1 MB | |
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10.1 C-statistics与C-index计算【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 132.26 MB | |
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10.2 净重新分类指数(NRI)与综合判别改善指数(IDI)的计算【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 132.7 MB | |
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10.3 临床预测模型的校准度评价：Calibration曲线的绘制【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 181.26 MB | |
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10.4 预测模型的临床有效性评价：决策曲线分析（DCA）方法【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 235.31 MB | |
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11.1 诊断试验数据处理方法【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 124.45 MB | |
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11.2 ROC曲线绘制及AUC计算【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 161.08 MB | |
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11.3 多指标联合诊断的 R 实现【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 124.14 MB | |
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12.1 主成分分析【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 172.49 MB | |
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12.2 因子分析【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 215.41 MB | |
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12.3 聚类分析【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 106.22 MB | |
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13.1 K最近邻法【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 115.69 MB | |
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13.2 支持向量机【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 242.84 MB | |
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14.1 回归树【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 212.18 MB | |
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14.2 分类树【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 61.77 MB | |
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14.3 随机森林【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 168.61 MB | |
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14.4 梯度提升【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 176.03 MB | |
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15.1 神经网络【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 179.54 MB | |
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15.2 深度学习【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 82.17 MB | |
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16.1 时间序列分析【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 284.22 MB | |
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16.2 时间序列预测【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 273.67 MB | |
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2.1 无序多分类Logistic回归【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 193.1 MB | |
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2.2 等级Logistic回归【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 132.35 MB | |
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3.1 Logistic回归建模【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 305.17 MB | |
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3.2 判别分析【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 275.86 MB | |
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4.1 倾向性匹配得分(PSM)分析【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 317.72 MB | |
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5.1 最优子集与岭回归建模【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 366.25 MB | |
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5.2 Lasso 回归建模【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 134 MB | |
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5.3 弹性网络建模【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 106.54 MB | |
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5.4 交叉验证与模型选择【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 159.36 MB | |
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6.1 K-M分析与Log-rank检验【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 114.58 MB | |
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6.2 Cox比例风险模型【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 225.27 MB | |
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7.1 竞争风险概念与Fine&Gray检验【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 143.26 MB | |
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7.2 竞争风险模型在R语言实现【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 137.62 MB | |
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8.1 多元回归中变量筛选常用方法【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 118.51 MB | |
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8.2 临床研究中亚组分析及森林图绘制【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 148.91 MB | |
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8.3 临床研究中敏感性分析及结果表达【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 89.47 MB | |
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9.1 临床预测模型典型案例解读【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 162.62 MB | |
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9.2 临床预测模型构建的一般方法【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 90.44 MB | |
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9.3 Logistic回归模型的可视化及Nomogram列线图的绘制【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 281.35 MB | |
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9.4 Cox回归模型的可视化及Nomogram列线图的绘制【hzspzy. com】.mp4 | 2023-07-06 21:45:58 | 253.77 MB | |
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资料说明.jpg | 2023-07-06 21:45:58 | 651.59 KB | |