Proportional‐Odds RegressionThis article has no abstract.doi:10.1002/0470011815.b2a11061Anthony N. PettittAmerican Cancer Society
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是基于logistic regression的一个对「有序」分类变量进行建模的模型,可以参考https://online.stat.psu.edu/stat504/node/176/。充分利用已有的资料,我想统计系课程的解释会比我在这里打一些描述地更清楚。 赞 回复 一休 (不存在的女孩) 楼主 2020-06-20 21:21:00 是基于logistic regression的一个对「有序...
医学统计与R语言:Tobit回归模型 函数医学统计与R语言:随机森林与Logistic预测(randomForest vs Logistic regression) 医学统计与R语言:多重比较P值的可视化 医学统计与R语言:肿瘤研究中的waterfall plot(瀑布图) 医学统计与R语言:多元方差分...
proportional-odds model by the inclusion of orthogonal polynomial contrasts. We introduce the repeated measures proportional-odds logistic regression model and describe for long ordinal outcomes modifications to the generalized estimating equation methodology used for parameter estimation. We introduce data ...
Cox DR (1972) Regression models and life tables (with discussion). J R Stat Soc Ser B 34:187–220MATH Johnson NL, Kotz S (1975) A vector valued multivariate hazard rate. J Multivar Anal 5:53–66MATHView ArticleMathSciNet Kirmani SNUA, Gupta RC (2001) On the proportional odds model ...
When comparing two (or more) diagnostic tests, where each study reports results on more than one test, the performance statistics (in the study results) are correlated. Then standard errors computed by SROC are invalid. Toledano and Gatsonis [9] use the ordinal regression model, and account ...
The fit of the proportional hazards regression of survival on digoxin treatment, age, and body mass index: DIG200. Model I (survival on digoxin treatment) LR chi2 (1) = 0.72 Log likelihood = − 353.81122 Prob > chi2 = 0.3972 Coef. Std. Err. z p > |z| Odds Ratio [95%...
Overweight and obesity in urban Africa: A problem of the rich or the poor? Multivariate ordered logistic regression in the context of the partial proportional odds model was used./p pResults/p pDescriptive results showed that the ... AK Ziraba,JC Fotso,R Ochako - 《Bmc Public Health》 被...
When comparing two (or more) diagnostic tests, where each study reports results on more than one test, the performance statistics (in the study results) are correlated. Then standard errors computed by SROC are invalid. Toledano and Gatsonis [9] use the ordinal regression model, and account ...