For the overall survival time, the estimated cutpoint is 0.186 mean gene expression, the maximum of the log-rank statistics is M = 3.1772. The probability that, under the null hypothesis, the maximally selected log-rank statistic is greater M = 3.171 is less then than 0.0097. If you have ...
Maximally Selected Rank Statistics in R
Logrank testMaximally selected rank statisticsThresholdTrend testUpcrossingof the selected cutpoint is evaluated. Maximally selected rank statistics can be used for esti- mation as well as evaluation of a simple cutpoint model. We show how this problems can be treated with the maxstat package and...
The optimal cut-off value of TTAC was determined by maximally selected log-rank statistics. The DFS curve was estimated using the Kaplan-Meier method, ... Y Liu,X Zhai,J Li,... - 《中国癌症研究(英文版)》 被引量: 0发表: 2017年 A supervised hidden markov model framework for efficiently...
Because the results differed according to the change in the hyperparameters, the final model was selected by the validation set after the experiment by changing the hyperparameters such as the number of layers, learning rate, and activation function (Supplemental Table 1). Using the final ...
Logrank testMaximally selected rank statisticsThresholdTrend testUpcrossingWe consider the bivariate situation of some quantitative, ordinal, binary or censored response variable and some quantitative or ordinal exposure variable (dose) with a hypothetical effect on the response. Data can either be the ...
Logrank testMaximally selected rank statisticsThresholdTrend testUpcrossingWe consider the bivariate situation of some quantitative, ordinal, binary or censored response variable and some quantitative or ordinal exposure variable (dose) with a hypothetical effect on the response. Data can either be the ...