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1、第四軍醫(yī)大學(xué)碩士學(xué)位論文5多分組傾向得分方法...................................................................................265.1基本概念................................................................................................265.2研究現(xiàn)狀.................................................................................
2、...............27正文..............................................................................................................281傾向得分匹配法與LOGISTIC回歸分析的對(duì)比研究....................................281.1模擬試驗(yàn)?zāi)康?.......................................................................................281.2模擬設(shè)
3、計(jì)................................................................................................281.3模擬結(jié)果................................................................................................301.4討論...........................................................................................
4、.............332基線資料均衡性檢驗(yàn)存在的問題與探討...................................................342.1假設(shè)檢驗(yàn)與標(biāo)準(zhǔn)化差異的適用性........................................................342.2模擬試驗(yàn)?zāi)康?.......................................................................................342.3模擬設(shè)計(jì).................................
5、...............................................................352.4模擬結(jié)果................................................................................................362.5討論........................................................................................................383三分組傾向得分匹配法最優(yōu)卡鉗值的選擇
6、................................................403.1三分組傾向得分匹配的算法................................................................403.2多分組資料均衡性的檢驗(yàn)方法............................................................423.3多分組資料傾向得分模型....................................................................423.4模擬試驗(yàn)
7、目的........................................................................................433.5模擬設(shè)計(jì)................................................................................................433.6
