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To the best of our knowledge, this is the first multivariable survival study addressing these stromal markers in canine MMTs.
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This is due, in part, to the small number of prospective multivariable survival studies that demonstrated their prognostic value.
Our studies indicate that a multivariable survival model including both molecular markers and standard clinical/pathological markers is significantly superior to a model based on either group of variables alone.
The study was original in combining life table analysis to estimate incidence rates for retinopathy progression, with multivariable survival analysis to quantify the independent effects of several risk factors.
Univariate and multivariable survival analyses were performed.
Multivariable survival models were also run for survival analyses.
Multivariable survival analyses were done using Cox regression analyses.
Persistence was evaluated using multivariable survival analysis techniques.
For multivariable survival analysis a Cox regression model was used.
Multivariable survival analyses are generally carried out using Cox regression.
Cox's proportional hazards model was used for multivariable survival analysis.
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