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Most of the available models can deal with a binary or a quantitative phenotype, but none has yet discussed the application of haplotype-based association analysis to a survival outcome.
6. log rank tests and Cox proportional hazards regression; 7. testing for proportional hazards and modelling non-proportional hazards; 8. survival-time data management; and 9. choosing between ...
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New method improves survival analysis power in clinical and epidemiological studiesThe restricted mean survival time (RMST) analysis technique was introduced ... In addition, unlike Cox regression models and other popular models, estimations and comparisons made using RMST ...
Attention all medical researchers, biostatisticians, and anyone involved with survival analysis! Discover new avenues of exploration ... the log-rank test and its variants, Cox regression, the ...
We evaluated patient outcomes over a 10-year follow-up period (median, 5.2 years), using a multivariable piecewise Cox regression ... subgroup analysis, breast-cancer–specific survival among ...
6. log rank tests and Cox proportional hazards regression; 7. testing for proportional hazards and modelling non-proportional hazards; 8. survival-time data management; and 9. choosing between ...
Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health ...
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