The maximally selected rank statistic
SpletThe cut-off value of the risk score maximizing differences between groups was determined by maximally selected rank statistics using “maxstat” R package according to an outcome-oriented approach for OS. 26 Survival differences between these two risk groups were compared using Kaplan–Meier curves with a Log rank test. We conducted ... Splet01. dec. 2008 · A novel maximally selected rank statistic is derived from this framework for a censored response partitioned with respect to two ordered categorical covariates and potential interactions and is employed to search for a high-risk group of rectal cancer patients treated with a neo-adjuvant chemoradiotherapy.
The maximally selected rank statistic
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SpletMaximally Selected Rank Statistics. Biometrics, 48, 73--85 Lausen, B., Sauerbrei, W. and Schumacher, M. (1994). Classification and Regression Trees (CART) used for the exploration of prognostic factors measured on different scales. in: P. Dirschedl and R. Ostermann (Eds), Computational Statistics, Heidelberg, Physica-Verlag, 483--496 Splet16. mar. 2024 · We used the maximally selected rank statistics to determine the optimal cut points for NT-proBNP (the most significant split based on the standardized log-rank test). This outcome-oriented method provides a cut point value that corresponds to the most significant relationship with the outcome (here, survival time to in-hospital death).
Splet28. feb. 2002 · Maximally selected rank statistics in R “Maximally selected rank statistics in R” published in R News. Authors Affiliations Torsten Hothorn Berthold Lausen Published Feb. 28, 2002 Citation Hothorn & Lausen, 2002 Reuse Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Splet01. mar. 2002 · Maximally selected two-sample statistics as a new tool for the identification and assessment of habitat factors with an application to breeding-bird …
Splet05. mar. 2024 · Maximally selected rank statistics allow the evaluation of cutpoints, which provide the classification of different risk groups in a quantitative or ordered predictor variable. We discuss the computation of the exact distribution and we derive a new lower bound based on an extension of an algorithm for the exact distribution of a linear rank ... SpletMaximally selected rank statistics, i.e. the maximum of the empirical process of the absolute values of standardized two-sample linear rank statistics, were established by Lausen and Schumacher (1992) for testing H0. Several approximations of the limiting distribution of a maximally selected rank statistic are known (Lausen and Schumacher,
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SpletThe maximally selected log-rank statistic for cutpoints between the 10% and 90% quantile of MGE using the upper bound of the P -value by Hothorn and Lausen (2003) can be computed by >library ("maxstat") >library … how many provinces in ethiopiaSplet28. jun. 2003 · Maximally selected rank statistics allow the evaluation of cutpoints, which provide the classification of observations into two groups by a continuous or ordinal predictor variable. The computation of the exact distribution of a maximally selected rank statistic is discussed and a new lower bound of the distribution is derived based on an ... how customizable are android phonesSpletJSTOR Home how many provinces in eu4Splet02. maj 2024 · Maximally Selected Rank Statistics. Biometrics, 48, 73–85 Lausen, B., Sauerbrei, W. and Schumacher, M. (1994). Classification and Regression Trees (CART) … how many provinces in china 36Splet13. jan. 2024 · 在ROC 曲线中，因变量必须是二分类变量，但有时我们可能会面临因变量是生存资料、定量资料等其他情况，此时ROC曲线就无能为力了。在这种情况下，可以考 … how customizable is salesforceSpletDetermine the optimal cutpoint for one or multiple continuous variables at once, using the maximally selected rank statistics from the 'maxstat' R package. This is an outcome-oriented methods providing a value of a cutpoint that correspond to the most significant relation with outcome (here, survival). surv_cutpoint (): Determine the optimal ... how many provinces in malawiSplet24. nov. 2008 · Summary Maximally selected statistics for the estimation of simple cutpoint models are embedded into a generalized conceptual framework based on conditional inference procedures. This powerful framework contains most of the published procedures in this area as special cases, such as maximally selected χ 2 and rank … how customizable is elden ring