R語言臨床預測模型實戰
彭獻鎮
- 出版商: 清華大學
- 出版日期: 2023-02-01
- 定價: $1,008
- 售價: 8.5 折 $857
- 語言: 簡體中文
- ISBN: 730262111X
- ISBN-13: 9787302621119
-
相關分類:
R 語言、Machine Learning
立即出貨
買這商品的人也買了...
-
普通化學, 11/e (授權經銷版)$880$836 -
R語言數據可視化之美：專業圖表繪制指南 (增強版)$954$906 -
資料視覺化｜製作充滿說服力的資訊圖表 (Fundamentals of Data Visualization)$780$616 -
$250簡單高效 LaTeX -
$509R語言醫學數據分析實戰 -
基礎有機化學, 9/e (McMurry: Organic Chemistry, 9/e)$710$675 -
$305臨床大數據分析與挖掘——基於Python和機器學習的臨床決策 -
ggplot2：數據分析與圖形藝術, 2/e$588$559 -
$407用 Python 動手學統計學 -
R語言金融分析與建模$599$569 -
IntelliJ IDEA 軟件開發與應用$834$792 -
打下最紮實 AI 基礎不依賴套件：手刻機器學習神經網路穩健前進$1,200$792 -
R語言數據可視化實戰 : 大數據專業圖表從入門到精通 (微視頻全解版)$534$507 -
$611R語言機器學習實戰 -
從零開始學 Latex$654$621 -
Causal Inference$760$722 -
因果推斷：基於圖模型分析羅銳$474$450 -
$611R語言實戰, 3/e -
ChatGPT4 人工智慧新時代：超效率 AI 生活與工作實務應用$760$593 -
AI短視頻生成與製作從入門到精通$594$564 -
$602預測模型實戰：基於R、SPSS和Stata -
R語言數據可視化：科技圖表繪制$774$735 -
從統計思維出發 - 用 Python 實作的機器學習範例$880$695 -
文圖互織的資料寫作學：使用 R Markdown$550$495 -
R 資料科學, 2/e (R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2/e)$980$774
相關主題
商品描述
目錄大綱
目錄
第1章 臨床預測模型概述 ············································1
1.1 如何構建預測模型 ·································································2
1.1.1 先單後多 ······················································································2
1.1.2 逐步回歸 ······················································································2
1.1.3 Lasso ···························································································2
1.1.4 隨機森林 ······················································································3
1.1.5 最優子集 ······················································································3
1.2 如何評價預測模型 ·································································3
1.2.1 擬合優度檢驗 ················································································3
1.2.2 ROC ····························································································4
1.2.3 Calibration ·····················································································4
1.2.4 DCA曲線 ·····················································································4
1.3 如何驗證預測模型 ·································································4
1.3.1 交叉驗證 ······················································································5
1.3.2 Bootstrap法 ···················································································5
1.4 小結 ···················································································5
第2章 線性回歸 ························································6
2.1 線性回歸概述 ·······································································7
2.1.1 相關的概念 ···················································································7
2.1.2 回歸的概念 ···················································································9
2.2 線性回歸實戰 ······································································11
2.2.1 簡單線性回歸 ···············································································11
IV
2.2.2 多重線性回歸 ···············································································17
2.3 小結 ··················································································25
第3章 Logistic回歸 ··················································27
3.1 概述 ··················································································28
3.1.1 二分類Logistic回歸的基本原理························································28
3.1.2 多分類Logistic回歸的基本原理························································30
3.1.3 有序Logistic回歸的基本原理···························································30
3.1.4 1∶m匹配條件Logistic回歸的基本原理···········································31
3.2 Logistic回歸分析實戰 ···························································31
3.2.1 二分類Logistic回歸 ·······································································31
3.2.2 多分類Logistic回歸 ·······································································41
3.2.3 有序Logistic ················································································49
3.2.4 1∶m匹配條件Logistic ·································································53
3.3 小結 ··················································································56
第4章生存資料分析 ················································59
4.1 概述 ··················································································60
4.1.1 Kaplan-Meier生存曲線的基本原理····················································60
4.1.2 Cox比例風險模型的基本原理 ··························································61
4.2 生存資料分析實戰 ································································62
4.2.1 Kaplan-Meier生存曲線 ···································································62
4.2.2 Cox比例風險模型 ·········································································72
4.3 小結 ··················································································81
第5章競爭風險模型 ················································83
5.1 概述 ··················································································84
5.2 競爭風險模型實戰 ································································85
5.2.1 Fine-Gray檢驗（單因素分析） ·························································85
5.2.2 crr()函數法（多因素分析） ·····························································95
V
目錄
5.3 小結 ··················································································97
第6章 自變量篩選 ···················································99
6.1 傳統方法 ··········································································100
6.1.1 基於連續性資料 ··········································································100
6.1.2 基於二分類資料 ··········································································105
6.1.3 基於生存資料 ·············································································112
6.2 逐步法 ·············································································116
6.2.1 基於連續性資料 ··········································································117
6.2.2 基於二分類資料 ··········································································121
6.2.3 基於多分類資料 ··········································································124
6.2.4 基於有序資料 ·············································································126
6.2.5 基於1∶m匹配資料 ···································································128
6.2.6 基於生存資料 ·············································································130
6.2.7 基於競爭風險資料 ·······································································131
6.3 Lasso法 ···········································································134
6.3.1 基於連續性資料 ··········································································135
6.3.2 基於二分類資料 ··········································································144
6.3.3 基於多分類資料 ··········································································151
6.3.4 基於生存資料 ·············································································160
6.4 隨機森林法 ·······································································167
6.4.1 基於連續性資料 ··········································································168
6.4.2 基於二分類資料 ··········································································172
6.4.3 基於多分類資料 ··········································································177
6.4.4 基於生存資料 ·············································································180
6.4.5 基於競爭風險資料 ·······································································187
6.5 最優子集法 ·······································································191
6.5.1 基於連續性資料 ··········································································192
6.5.2 基於二分類資料 ··········································································193
6.5.3 基於多分類資料 ··········································································193
6.5.4 基於有序資料 ·············································································196
6.5.5 基於生存資料 ·············································································196
VI
6.5.6 基於競爭風險資料 ·······································································198
6.6 主成分分析法 ····································································200
6.7 小結 ················································································204
第7章列線圖·························································205
7.1 列線圖簡介 ·······································································206
7.2 基於連續資料 ····································································206
7.2.1 普通靜態列線圖 ··········································································206
7.2.2 網頁動態列線圖 ··········································································210
7.2.3 花樣列線圖 ················································································212
7.2.4 靜態列線圖的變種 ·······································································215
7.3 基於二分類資料 ·································································216
7.3.1 普通靜態列線圖 ··········································································216
7.3.2 網頁動態列線圖 ··········································································222
7.3.3 花樣列線圖 ················································································223
7.3.4 靜態列線圖的變種 ·······································································227
7.4 基於有序資料 ····································································228
7.4.1 普通靜態列線圖 ··········································································228
7.4.2 花樣列線圖 ················································································233
7.4.3 靜態列線圖的變種 ·······································································236
7.5 基於生存資料 ····································································237
7.5.1 普通靜態列線圖 ··········································································237
7.5.2 網頁動態列線圖 ··········································································246
7.5.3 花樣列線圖 ················································································248
7.5.4 靜態列線圖的變種 ·······································································253
7.5.5 生存概率列線圖 ··········································································255
7.6 基於競爭風險模型 ······························································256
7.6.1 普通靜態列線圖 ··········································································256
7.6.2 靜態列線圖的變種 ·······································································264
7.6.3 生存概率列線圖 ··········································································265
7.6.4 花樣列線圖 ················································································266
7.7 小結 ················································································270
第8章 Calibration校準曲線 ·································271
8.1 Calibration校準曲線簡介 ·····················································272
8.2 基於二分類資料 ·································································272
8.2.1 單一模型校準曲線 ·······································································272
8.2.2 多模型校準曲線 ··········································································281
8.3 基於生存資料 ····································································284
8.3.1 單模型單時點校準曲線 ·································································285
8.3.2 單模型多時點校準曲線 ·································································292
8.3.3 多模型同時點校準曲線 ·································································294
8.4 基於競爭風險模型 ······························································299
8.4.1 單模型單時點校準曲線 ·································································299
8.4.2 多模型同時點校準曲線 ·································································301
8.5 小結 ················································································304
第9章 C指數計算 ···················································305
9.1 C指數簡介 ·······································································306
9.2 基於二分類資料 ·································································306
9.3 基於生存資料 ····································································310
9.4 基於競爭風險模型 ······························································315
9.5 小結 ················································································318
第10章 ROC曲線 ···················································319
10.1 ROC曲線簡介 ·································································320
10.2 基於二分類資料 ·······························································320
10.2.1 單一模型ROC曲線 ····································································320
10.2.2 多模型ROC曲線 ·······································································328
10.3 基於生存資料 ··································································332
10.3.1 單模型單時點ROC曲線 ······························································332
10.3.2 單模型多時點ROC曲線 ······························································336
10.3.3 多模型同時點ROC曲線 ······························································339
VIII
10.4 基於競爭風險模型····························································343
10.4.1 單模型單時點ROC曲線 ······························································343
10.4.2 單模型多時點ROC曲線 ······························································345
10.4.3 多模型同時點ROC曲線 ······························································348
10.5 小結 ··············································································349
第11章 DCA曲線 ···················································350
11.1 DCA曲線簡介 ·································································351
11.2 基於二分類資料·······························································351
11.2.1 單一模型DCA曲線····································································351
11.2.2 多模型DCA曲線·······································································356
11.3 基於生存資料··································································359
11.3.1 單模型單時點DCA曲線 ······························································359
11.3.2 單模型多時點DCA曲線 ······························································363
11.3.3 多模型同時點DCA曲線 ······························································365
11.4 小結 ··············································································368
第12章 NRI、IDI計算 ·············································369
12.1 NRI、IDI簡介 ·································································370
12.2 基於二分類資料 ·······························································370
12.3 基於生存資料 ··································································378
12.4 小結 ··············································································384
第13章交叉驗證及Bootstrap ·····································385
13.1 概述 ··············································································386
13.2 簡單交叉驗證 ··································································389
13.3 K折交叉驗證 ··································································391
13.4 留一法交叉驗證 ·······························································393
13.5 Bootstrap ·········································································395
13.6 小結 ··············································································397
