Pages that link to "Item:Q3079059"
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The following pages link to Flexible Weighted Log-Rank Tests Optimal for Detecting Early and/or Late Survival Differences (Q3079059):
Displaying 18 items.
- On the versatility of the combination of the weighted log-rank statistics (Q1020770) (← links)
- Using integrated weighted survival difference for the two-sample censored data problem (Q1023784) (← links)
- A supremum version of logrank test for detecting late occurring survival differences. (Q1128455) (← links)
- A comparison of the constant piecewise weighted logrank and Fleming-Harrington tests (Q2015163) (← links)
- A weighted log-rank test for comparing two survival curves (Q2213365) (← links)
- A permutation test for the two-sample right-censored model (Q2230879) (← links)
- On the Fleming-Harrington test for late effects in prevention randomized controlled trials (Q2323277) (← links)
- Pair chart test for an early survival difference (Q2576821) (← links)
- Hypothesis testing for an extended Cox model with time-varying coefficients (Q2927614) (← links)
- A Nonparametric Test Procedure Based on Quantiles for the Right Censored Data (Q2943789) (← links)
- A Nonparametric Test Procedure Based on a Group of Quantile Tests (Q3015883) (← links)
- Maximum of the weighted Kaplan–Meier tests for the two-sample censored data (Q3087831) (← links)
- Weighted log rank type statistics for comparing survival curves when there is a time lag in the effectiveness of treatment (Q3492713) (← links)
- Semiparametric regression analysis of two-sample current status data, with applications to tumorigenicity experiments (Q3512635) (← links)
- Flexibly Monitoring Group Sequential Survival Trials When Testing is Based Upon a Weighted Log-Rank Statistic (Q5413552) (← links)
- Stratified modestly weighted log‐rank tests in settings with an anticipated delayed separation of survival curves (Q6183911) (← links)
- Inference for Treatment-Specific Survival Curves Using Machine Learning (Q6567948) (← links)
- Integrated log-rank test (Q6669467) (← links)