{Reference Type}: English Abstract
{Title}: [A simulation study of the reliability and accuracy of Cox-TEL method for estimating hazard ratio and difference in proportions for long-term survival data containing cured patients].
{Author}: Zou B;Xu L;Li K;An S;
{Journal}: Nan Fang Yi Ke Da Xue Xue Bao
{Volume}: 44
{Issue}: 6
{Year}: 2024 Jun 20
暂无{DOI}: 10.12122/j.issn.1673-4254.2024.06.20
{Abstract}: <B>OBJECTIVE: </B>To explore the applicable conditions of the Cox-TEL (Cox PH-Taylor expansion adjustment for long-term survival data) method for analysis of survival data that contain cured patients.<BR><B>METHODS: </B>The simulated survival data method based on Weibull distribution was used to simulate and generate the survival data with different cure rates, censored rates, and cure rate differences. The Cox-TEL method was used for analysis of the generated simulation data, and its performance was evaluated by calculating its type Ⅰ error and power.<BR><B>RESULTS: </B>Almost all the type Ⅰ error of the hazard ratios (HRs) obtained by the Cox-TEL method under different conditions were slightly greater than 0.05, and this method showed a good test power for estimating the HRs for data with a large sample size and a large difference in proportions (DPs). For the data of cured patients, the type Ⅰ error of the DPs obtained by the Cox-TEL method was well around 0.05, and its test power was robust in most of the scenarios.<BR><B>CONCLUSIONS: </B>The Cox-TEL method is effective for analyzing data of uncured patients and obtaining reliable HRs for most of the survival data with a sample size, a low censored rates, and a large difference in cure rates. The method is capable of accurately estimating the DPs regardless of the sample size, censored rates, or the cure rates.