Cox proportional hazard model (Cox) with a binary covariate (intervention [I] and control [C]) is widely used to assess the effect of treatment on reducing cardiorenal-related (CRr) event risk. Censoring and non-"proportional hazards" (PH) may affect reliability of the data analysed using Cox in controlled trials (CT). Thus, we conducted a pilot meta-analysis to elucidate the factors that lower reliability of data analysed using Cox in CT.
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Takeishi et al. (2024) studied this question.
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