Pages that link to "Item:Q5295389"
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The following pages link to Extension of the Rank Sum Test for Clustered Data: Two‐Group Comparisons with Group Membership Defined at the Subunit Level (Q5295389):
Displaying 18 items.
- Quantile inference based on clustered data (Q314563) (← links)
- Ranking procedures for matched pairs with missing data -- asymptotic theory and a small sample approximation (Q433209) (← links)
- Rank regression for analysis of clustered data: a natural induced smoothing approach (Q962354) (← links)
- A weighted multivariate signed-rank test for cluster-correlated data (Q1012529) (← links)
- Power and Sample Size Estimation for the Clustered Wilcoxon Test (Q3013996) (← links)
- Weighted rank tests and Hodges–Lehmann estimates for the multivariate two-sample location problem with clustered data (Q3145410) (← links)
- Applications of Extensions of Bivariate Rank Sum Statistics to the Crossover Design to Compare Two Treatments Through Four Sequence Groups (Q3183250) (← links)
- Incorporation of Clustering Effects for the Wilcoxon Rank Sum Test: A Large‐Sample Approach (Q3433247) (← links)
- Two sample tests for the nonparametric Behrens–Fisher problem with clustered data (Q3589228) (← links)
- Weighted Wilcoxon‐Type Smoothly Clipped Absolute Deviation Method (Q3637007) (← links)
- Assessing Discrimination of Risk Prediction Rules in a Clustered Data Setting (Q4984846) (← links)
- Hypothesis Testing Problems in an Unbalanced Longitudinal Ophthalmology Study (Q5201504) (← links)
- A cluster‐adjusted rank‐based test for a clinical trial concerning multiple endpoints with application to dietary intervention assessment (Q5214553) (← links)
- A rank‐sum test for clustered data when the number of subjects in a group within a cluster is informative (Q5739267) (← links)
- Rank-Sum Tests for Clustered Data (Q5754865) (← links)
- Assessing discrimination of risk prediction rules in a clustered data setting (Q5963063) (← links)
- The nonparametric Behrens–Fisher problem in partially complete clustered data (Q6067317) (← links)
- Saddle-point p-values and confidence intervals based on log-rank tests when dependent subunits of clustered survival data are randomized by random allocation design (Q6107597) (← links)
