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Statistics review 12: survival analysis.

Bewick V, Cheek L, Ball J.

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An empirical comparison of statistical tests for assessing the proportional hazards assumption of Cox's model.

Ng'andu NH.

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Model inconsistency, illustrated by the Cox proportional hazards model.

Ford I, Norrie J, Ahmadi S.

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Dynamic comparison of Kaplan-Meier proportions: monitoring a randomized clinical trial with a long-term binary endpoint.

Brittain E, Follmann D, Yang S.

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Comparison of Cox's and relative survival models when estimating the effects of prognostic factors on disease-specific mortality: a simulation study under proportional excess hazards.

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On the use and utility of the Weibull model in the analysis of survival data.

Carroll KJ.

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Adjusted variable plots for Cox's proportional hazards regression model.

Hall CB, Zeger SL, Bandeen-Roche KJ.

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Assessment of gastric cancer survival: using an artificial hierarchical neural network.

Amiri Z, Mohammad K, Mahmoudi M, Zeraati H, Fotouhi A.

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Testing order restricted hypotheses with proportional hazards.

Singh B, Wright FT.

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Survival analysis in public health research.

Lee ET, Go OT.

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Statistical methodology: IX. survival analysis.

Young KD, Menegazzi JJ, Lewis RJ.

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Survival analysis: caveats and pitfalls.

Mathew A, Pandey M, Murthy NS.

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[Kaplan-Meier analysis]

Tripepi G, Catalano F.

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Power calculation for the log rank test using historical data.

Cantor AB.

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The type I error and power of non-parametric logrank and Wilcoxon tests with adjustment for covariates--a simulation study.

Jiang H, Symanowski J, Paul S, Qu Y, Zagar A, Hong S.

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Censoring issues in survival analysis.

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Survival analysis.

Jiang H, Fine JP.

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Analysing survival in the presence of an auxiliary variable.

Finkelstein DM, Schoenfeld DA.

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Confidence intervals for the log-normal mean .

Zhou XH, Gao S.

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