Gray Model
灰色模型
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Gray Model sentence examples within cumulative incidence function
We assessed the procedure-specific risk of disability using cumulative incidence functions, and the relative effect of covariates on the subdistribution hazard using Fine and Gray models.
我们使用累积发生率函数评估了特定程序的残疾风险，并使用 Fine 和 Gray 模型评估了协变量对子分布风险的相对影响。
我们使用累积发生率函数评估了特定程序的残疾风险，并使用 Fine 和 Gray 模型评估了协变量对子分布风险的相对影响。
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The cumulative incidence function illustrates the difference between SCC categories, and the Fine-Gray model estimates the predictors of WD during the 8-year follow-up.
累积发病率函数说明了 SCC 类别之间的差异，Fine-Gray 模型估计了 8 年随访期间 WD 的预测因子。
累积发病率函数说明了 SCC 类别之间的差异，Fine-Gray 模型估计了 8 年随访期间 WD 的预测因子。
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Gray Model sentence examples within subdistribution hazard ratio
To estimate the differences in measures of association, the subdistribution hazard ratios (sHR) for the effect of comorbidity on mortality from the Fine and Gray model were compared to the cause-specific hazards (HR) from Cox regression model.
为了估计关联测量的差异，将来自 Fine 和 Gray 模型的合并症对死亡率影响的子分布风险比 (sHR) 与来自 Cox 回归模型的特定原因危害 (HR) 进行了比较。
为了估计关联测量的差异，将来自 Fine 和 Gray 模型的合并症对死亡率影响的子分布风险比 (sHR) 与来自 Cox 回归模型的特定原因危害 (HR) 进行了比较。
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Weighted Fine-Gray model showed that HIV infection was associated with a lower risk of HCC (subdistribution hazard ratio 0.
加权 Fine-Gray 模型显示 HIV 感染与较低的 HCC 风险相关（子分布风险比 0.
加权 Fine-Gray 模型显示 HIV 感染与较低的 HCC 风险相关（子分布风险比 0.
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Gray Model sentence examples within cause specific mortality
All-cause and cause-specific mortality hazard ratios (HRs) were estimated from Cox proportional hazards regression models and Fine-Gray models, respectively.
分别从 Cox 比例风险回归模型和 Fine-Gray 模型估计全因和特定原因死亡率风险比 (HR)。
分别从 Cox 比例风险回归模型和 Fine-Gray 模型估计全因和特定原因死亡率风险比 (HR)。
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All-cause and cause-specific mortality hazard ratios were
estimated from Cox-proportional hazard regression models and Fine-Gray models,
respectively.
全因和特定原因死亡率风险比为
从 Cox 比例风险回归模型和 Fine-Gray 模型估计，
分别。
全因和特定原因死亡率风险比为 从 Cox 比例风险回归模型和 Fine-Gray 模型估计， 分别。
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Gray Model sentence examples within 95 % confidence
The Fine and Gray model demonstrated that small prosthetic valve size (hazard ratio [HR] [95% confidence interval, CI] = 0.
Fine 和 Gray 模型表明，较小的人工瓣膜尺寸（风险比 [HR] [95% 置信区间，CI] = 0.
Fine 和 Gray 模型表明，较小的人工瓣膜尺寸（风险比 [HR] [95% 置信区间，CI] = 0.
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Multivariable Fine and Gray models were used to determine the adjusted hazard ratio (HR) and 95% confidence interval (CI).
多变量 Fine 和 Gray 模型用于确定调整后的风险比 (HR) 和 95% 置信区间 (CI)。
多变量 Fine 和 Gray 模型用于确定调整后的风险比 (HR) 和 95% 置信区间 (CI)。
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Gray Model sentence examples within cancer specific survival
We used the Fine-Gray model for time to recurrence and lung cancer-specific survival and a Cox proportional hazards model for overall survival.
我们使用 Fine-Gray 模型来评估复发时间和肺癌特异性生存率，并使用 Cox 比例风险模型来评估总体生存率。
我们使用 Fine-Gray 模型来评估复发时间和肺癌特异性生存率，并使用 Cox 比例风险模型来评估总体生存率。
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Outcomes of larynx cancer-specific survival (CSS), overall survival (OS), and non-larynx cancer survival (NCS) were evaluated in multivariable Cox and Fine-Gray models.
在多变量 Cox 和 Fine-Gray 模型中评估了喉癌特异性生存 (CSS)、总生存 (OS) 和非喉癌生存 (NCS) 的结果。
在多变量 Cox 和 Fine-Gray 模型中评估了喉癌特异性生存 (CSS)、总生存 (OS) 和非喉癌生存 (NCS) 的结果。
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Gray Model sentence examples within primary end point
The primary end point was an occurrence of MACE in a time-to-event analysis with propensity score-weighted Cox and Fine-Gray models.
主要终点是使用倾向得分加权 Cox 和 Fine-Gray 模型进行的事件时间分析中发生 MACE。
主要终点是使用倾向得分加权 Cox 和 Fine-Gray 模型进行的事件时间分析中发生 MACE。
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The primary end-point was an occurrence of IBD in a time-to-event analysis with propensity score-weighted Cox and Fine-Gray models.
主要终点是在使用倾向评分加权 Cox 和 Fine-Gray 模型的事件发生时间分析中发生 IBD。
主要终点是在使用倾向评分加权 Cox 和 Fine-Gray 模型的事件发生时间分析中发生 IBD。
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Gray Model sentence examples within bladder cancer specific
Endpoints of local recurrence (LR, defined as recurrence in the bladder or upper tract), distant recurrence (DR, defined as recurrence beyond regional lymph nodes), overall mortality (OM), and bladder cancer-specific mortality (BCM) were evaluated in multivariable Cox and Fine-Gray models.
局部复发（LR，定义为膀胱或上尿道复发）、远处复发（DR，定义为区域淋巴结以外的复发）、总死亡率（OM）和膀胱癌特异性死亡率（BCM）的终点在多变量 Cox 和 Fine-Gray 模型。
局部复发（LR，定义为膀胱或上尿道复发）、远处复发（DR，定义为区域淋巴结以外的复发）、总死亡率（OM）和膀胱癌特异性死亡率（BCM）的终点在多变量 Cox 和 Fine-Gray 模型。
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Secondary endpoints of 30/90-day mortality, overall mortality (OM), bladder cancer-specific mortality (BCM), non-bladder cancer-specific mortality (NCM), locoregional failure (LRF), and distant failure (DF) were evaluated in multivariable Cox and Fine-Gray models.
评估了 30/90 天死亡率、总死亡率 (OM)、膀胱癌特异性死亡率 (BCM)、非膀胱癌特异性死亡率 (NCM)、局部区域衰竭 (LRF) 和远处衰竭 (DF) 的次要终点在多变量 Cox 和 Fine-Gray 模型中。
评估了 30/90 天死亡率、总死亡率 (OM)、膀胱癌特异性死亡率 (BCM)、非膀胱癌特异性死亡率 (NCM)、局部区域衰竭 (LRF) 和远处衰竭 (DF) 的次要终点在多变量 Cox 和 Fine-Gray 模型中。
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Gray Model sentence examples within neural network model
In comparison with other models, namely multiple regression model (MR model), artificial neural network model (ANN model), back-propagation neural network model (BP model), fuzzy analysis network process model (FANAP model), gray model (GM model), and gray-autoregressive integrated moving average model (GM-ARIMA model), the Path Analysis-VARIMA-OVi model is found to be the most suitable tool for a policy management and planning to achieve a sustainability for Thailand.
与其他模型比较，即多元回归模型（MR模型）、人工神经网络模型（ANN模型）、反向传播神经网络模型（BP模型）、模糊分析网络过程模型（FANAP模型）、灰色模型（GM模型） ) 和灰色自回归综合移动平均模型 (GM-ARIMA 模型)，发现路径分析-VARIMA-OVi 模型是实现泰国可持续性的政策管理和规划的最合适工具。
与其他模型比较，即多元回归模型（MR模型）、人工神经网络模型（ANN模型）、反向传播神经网络模型（BP模型）、模糊分析网络过程模型（FANAP模型）、灰色模型（GM模型） ) 和灰色自回归综合移动平均模型 (GM-ARIMA 模型)，发现路径分析-VARIMA-OVi 模型是实现泰国可持续性的政策管理和规划的最合适工具。
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Gray Model sentence examples within proportional hazard regression
A Cox proportional hazard regression model and a competing risk analysis with Fine-Gray model were fitted to assess survival outcome related to suspicious peritoneal cytology.
拟合 Cox 比例风险回归模型和具有 Fine-Gray 模型的竞争风险分析来评估与可疑腹膜细胞学相关的生存结果。
拟合 Cox 比例风险回归模型和具有 Fine-Gray 模型的竞争风险分析来评估与可疑腹膜细胞学相关的生存结果。
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Gray Model sentence examples within Traditional Gray Model
Results indicate that although it is qualified, traditional Gray model needs to be optimized; GMM is built to help modify the result, improve Gray-related degrees, and narrow the gap with real value.
结果表明，虽然合格，但传统的格雷模型需要优化； GMM 旨在帮助修改结果，提高灰度相关度，并缩小与实际值的差距。
结果表明，虽然合格，但传统的格雷模型需要优化； GMM 旨在帮助修改结果，提高灰度相关度，并缩小与实际值的差距。
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When it is compared with the results of the traditional gray model prediction, the error is smaller and the accuracy is higher.
与传统灰色模型预测的结果相比，误差更小，准确度更高。
与传统灰色模型预测的结果相比，误差更小，准确度更高。
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Gray Model sentence examples within gray model showed
Multivariable Fine-Gray model showed that BED was not a significant predictor of response.
多变量 Fine-Gray 模型显示 BED 不是反应的显着预测因子。
多变量 Fine-Gray 模型显示 BED 不是反应的显着预测因子。
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The multivariable Fine-Gray model showed that BED was not a significant predictor of response (subdistribution HR, 1.
多变量 Fine-Gray 模型显示 BED 不是反应的显着预测因子（子分布 HR，1.
多变量 Fine-Gray 模型显示 BED 不是反应的显着预测因子（子分布 HR，1.
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Gray Model sentence examples within gray model revealed
Multivariable analyses using the Fine-Gray model revealed that patients with shorter pain duration (< 1 month) had higher cumulative incidence of pain response (subdistribution hazard ratio, 2.
使用 Fine-Gray 模型的多变量分析显示，疼痛持续时间较短（<1 个月）的患者疼痛反应的累积发生率较高（子分布风险比，2.
使用 Fine-Gray 模型的多变量分析显示，疼痛持续时间较短（<1 个月）的患者疼痛反应的累积发生率较高（子分布风险比，2.
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Deaths from cardiac, cancer, and other causes were treated as competing events, and competing analysis using the cumulative incidence function (CIF) and Fine-Gray model revealed that mortality due to cancer was higher in the cancer group than in the non-cancer group, whereas cardiac mortality was similar between the two groups.
心脏、癌症和其他原因导致的死亡被视为竞争事件，使用累积发病率函数 (CIF) 和 Fine-Gray 模型的竞争分析显示，癌症组的癌症死亡率高于非癌症组，而两组之间的心脏死亡率相似。
心脏、癌症和其他原因导致的死亡被视为竞争事件，使用累积发病率函数 (CIF) 和 Fine-Gray 模型的竞争分析显示，癌症组的癌症死亡率高于非癌症组，而两组之间的心脏死亡率相似。
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Gray Model sentence examples within gray model estimate
The cumulative incidence function illustrates the difference between SCC categories, and the Fine-Gray model estimates the predictors of WD during the 8-year follow-up.
累积发病率函数说明了 SCC 类别之间的差异，Fine-Gray 模型估计了 8 年随访期间 WD 的预测因子。
累积发病率函数说明了 SCC 类别之间的差异，Fine-Gray 模型估计了 8 年随访期间 WD 的预测因子。
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Cumulative incidence function illustrates the difference between the HRA risk categories, and the Fine–Gray model estimates the predictors of WD during 6-year follow-up.
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Gray Model sentence examples within gray model accounting
The main outcome measures were (1) subsequent pregnancy rate assessed with a cumulative function model and (2) independent factors associated with subsequent pregnancy, assessed with a competing risk analysis by fitting the Fine-Gray model accounting for competing events for pregnancy (hysterectomy and cancer progression) in a multivariable model [5].
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009), the competing risks analysis with the Fine-Gray model accounting for mortality after stage 2 determines that prematurity is not a significant predictor (hazard ratio, 1.
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Gray Model sentence examples within gray model method
Methods The standardized
mortality ratios (SMRs) were calculated and Fine-Gray models were
fitted, with stratifications on demographic and tumor-related
characteristics.
方法标准化
计算死亡率 (SMR) 并采用 Fine-Gray 模型
拟合，对人口统计和肿瘤相关的分层
特征。
方法标准化 计算死亡率 (SMR) 并采用 Fine-Gray 模型 拟合，对人口统计和肿瘤相关的分层 特征。
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5 years using Fine and Gray model.
5 年使用 Fine 和 Gray 模型。
5 年使用 Fine 和 Gray 模型。
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CONCLUSION
We identified independent risk factors for overall and cause-specific prosthetic failure after rotating-hinge knee distal femoral arthroplasty using a competing risk Fine-Gray model.
结论
我们使用竞争风险 Fine-Gray 模型确定了旋转铰链膝股骨远端股骨关节置换术后整体和特定原因假体失败的独立风险因素。
结论 我们使用竞争风险 Fine-Gray 模型确定了旋转铰链膝股骨远端股骨关节置换术后整体和特定原因假体失败的独立风险因素。
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For the purpose of exploring the long-term variation of regional SST, this paper studies the historical SST in local sea areas and the emission pattern of greenhouse gases and proposes a gray model of regional SST based on atmospheric reflection which can be used to predict SST variation in a long time span.
为探索区域海温的长期变化规律，本文研究了局部海域的历史海温及温室气体排放规律，提出了基于大气反射的区域海温灰色模型，可用于预测海温。长时间跨度的变化。
为探索区域海温的长期变化规律，本文研究了局部海域的历史海温及温室气体排放规律，提出了基于大气反射的区域海温灰色模型，可用于预测海温。长时间跨度的变化。
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Cox regression and Fine-Gray models were used to determine the effect of different confounders on mortality.
Cox 回归和 Fine-Gray 模型用于确定不同混杂因素对死亡率的影响。
Cox 回归和 Fine-Gray 模型用于确定不同混杂因素对死亡率的影响。
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com School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China Full list of author information is available at the end of the article For the purpose of exploring the long-term variation of regional SST, this paper studies the historical SST in local sea areas and the emission pattern of greenhouse gases and proposes a gray model of regional SST based on atmospheric reflection which can be used to predict SST variation in a long time span.
com 南京信息工程大学电子与信息工程学院, 中国南京研究了局部海域历史海温与温室气体排放规律，提出了基于大气反射的区域海温灰色模型，可用于预测长时间跨度的海温变化。
com 南京信息工程大学电子与信息工程学院, 中国南京研究了局部海域历史海温与温室气体排放规律，提出了基于大气反射的区域海温灰色模型，可用于预测长时间跨度的海温变化。
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Time-dependent Cox and fine and gray models were used to assess risk factors for infections and mortality.
时间依赖性 Cox 和精细和灰色模型用于评估感染和死亡率的危险因素。
时间依赖性 Cox 和精细和灰色模型用于评估感染和死亡率的危险因素。
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Adjusted Fine-Gray models were used to evaluate the risk of HF.
调整后的 Fine-Gray 模型用于评估 HF 的风险。
调整后的 Fine-Gray 模型用于评估 HF 的风险。
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Death was considered as a competing risk with the Fine and Gray model.
死亡被认为是与 Fine 和 Gray 模型竞争的风险。
死亡被认为是与 Fine 和 Gray 模型竞争的风险。
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The adjusted hazard ratios were evaluated for the primary outcomes by sex using (1) Fine-Gray models and (2) Cox regression models.
使用 (1) Fine-Gray 模型和 (2) Cox 回归模型按性别评估调整后的风险比对主要结局的影响。
使用 (1) Fine-Gray 模型和 (2) Cox 回归模型按性别评估调整后的风险比对主要结局的影响。
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ANALYTICAL APPROACH
Unadjusted and adjusted Fine-Gray models; linear regression to compute eGFR slopes.
分析方法
未调整和调整的 Fine-Gray 模型；用于计算 eGFR 斜率的线性回归。
分析方法 未调整和调整的 Fine-Gray 模型；用于计算 eGFR 斜率的线性回归。
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We used joint models to examine the association of APOE genotype with cognitive function trajectories between 45 and 85 years taking drop-out, dementia, and death into account and Fine and Gray models to examine associations with dementia.
我们使用联合模型来检查 APOE 基因型与 45 至 85 年之间的认知功能轨迹的关联，将辍学、痴呆和死亡考虑在内，并使用 Fine 和 Gray 模型来检查与痴呆的关联。
我们使用联合模型来检查 APOE 基因型与 45 至 85 年之间的认知功能轨迹的关联，将辍学、痴呆和死亡考虑在内，并使用 Fine 和 Gray 模型来检查与痴呆的关联。
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To facilitate eventual simulations with 3D global circulation models, a computationally efficient band-gray model is developed, which is capable of reproducing the key features of the more comprehensive calculations.
为了便于使用 3D 全球环流模型进行最终模拟，开发了一种计算效率高的带灰色模型，该模型能够再现更全面计算的关键特征。
为了便于使用 3D 全球环流模型进行最终模拟，开发了一种计算效率高的带灰色模型，该模型能够再现更全面计算的关键特征。
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Second, on the temporal scale, the shrinking trajectories of shrinking cities are analyzed, and a trend is predicted for shrinking cities for 2020 and 2025 based on the gray model (GM (1,1)).
其次，在时间尺度上，分析了收缩城市的收缩轨迹，基于灰色模型（GM（1，1））预测了2020年和2025年收缩城市的趋势。
其次，在时间尺度上，分析了收缩城市的收缩轨迹，基于灰色模型（GM（1，1））预测了2020年和2025年收缩城市的趋势。
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The Fine-Gray model for competing risk was used to estimate factors associated with patients' risk of death.
竞争风险的 Fine-Gray 模型用于估计与患者死亡风险相关的因素。
竞争风险的 Fine-Gray 模型用于估计与患者死亡风险相关的因素。
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In this paper, the data set of the number of tourists in Shandong Province from 1990 to 2019 is obtained through the China Statistical Yearbook, and the number of tourists in Shandong Province is fitted and predicted by the time series model, gray model and gray-BP neural network combination model.
本文通过中国统计年鉴获得1990-2019年山东省旅游人数数据集，采用时间序列模型、灰色模型和灰色- BP神经网络组合模型。
本文通过中国统计年鉴获得1990-2019年山东省旅游人数数据集，采用时间序列模型、灰色模型和灰色- BP神经网络组合模型。
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Secondary endpoints of locoregional failure (LRF), overall survival (OS), and distant failure (DF) were evaluated in multivariable Cox and Fine-Gray models.
在多变量 Cox 和 Fine-Gray 模型中评估了局部区域失败 (LRF)、总生存期 (OS) 和远处失败 (DF) 的次要终点。
在多变量 Cox 和 Fine-Gray 模型中评估了局部区域失败 (LRF)、总生存期 (OS) 和远处失败 (DF) 的次要终点。
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The results show that the maximum error between the predicted and actual measured values of the gray model is 2.
结果表明，灰色模型的预测值与实际测量值之间的最大误差为2。
结果表明，灰色模型的预测值与实际测量值之间的最大误差为2。
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We characterized patients with hepatorenal syndrome by recovery of kidney function using Fine-Gray models.
我们使用 Fine-Gray 模型通过肾功能恢复来表征肝肾综合征患者。
我们使用 Fine-Gray 模型通过肾功能恢复来表征肝肾综合征患者。
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We retrospectively analyzed consecutive patients with acute ischemic stroke 10/2018-6/2019 without prevalent AF and assessed the six-month incidence of monitor utilization (Holter/ECG, event/patch, implantable loop recorder [ILR]) using Fine-Gray models accounting for the competing risk of death.
我们回顾性分析了 10/2018-6/2019 没有普遍 AF 的连续急性缺血性卒中患者，并使用 Fine-Gray 模型评估了 6 个月监测仪使用率（动态心电图/心电图、事件/贴片、植入式循环记录器 [ILR]）考虑到死亡的竞争风险。
我们回顾性分析了 10/2018-6/2019 没有普遍 AF 的连续急性缺血性卒中患者，并使用 Fine-Gray 模型评估了 6 个月监测仪使用率（动态心电图/心电图、事件/贴片、植入式循环记录器 [ILR]）考虑到死亡的竞争风险。
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We used linear regression to examine patient and center characteristics associated with ETD and Fine-Gray models to examine the association between ETD (modeled as a spline) and time to deceased or living donor transplantation or graft failure.
我们使用线性回归来检查与 ETD 和 Fine-Gray 模型相关的患者和中心特征，以检查 ETD（建模为样条）与死亡或活体供体移植或移植失败的时间之间的关联。
我们使用线性回归来检查与 ETD 和 Fine-Gray 模型相关的患者和中心特征，以检查 ETD（建模为样条）与死亡或活体供体移植或移植失败的时间之间的关联。
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Competing risk analyses were used to assess the cumulative risk of viral reactivation, and time-dependent Cox and Fine and Gray models to assess risk factors for viral reactivation.
竞争风险分析用于评估病毒再激活的累积风险，并使用时间依赖性 Cox 和 Fine 和 Gray 模型来评估病毒再激活的风险因素。
竞争风险分析用于评估病毒再激活的累积风险，并使用时间依赖性 Cox 和 Fine 和 Gray 模型来评估病毒再激活的风险因素。
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With Fine and Gray model, a higher risk for death was observed in patients with BSI than in propensity-score matched patients (sub distribution Hazard Ratio (sdHR) = 2.
使用 Fine 和 Gray 模型，BSI 患者的死亡风险高于倾向评分匹配的患者（子分布风险比 (sdHR) = 2.
使用 Fine 和 Gray 模型，BSI 患者的死亡风险高于倾向评分匹配的患者（子分布风险比 (sdHR) = 2.
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It is thought that the study will contribute to the related article since there is no empirical evaluation of the Hofstede-Gray model in the Turkish literature.
由于土耳其文献中没有对 Hofstede-Gray 模型进行实证评估，因此认为该研究将有助于相关文章。
由于土耳其文献中没有对 Hofstede-Gray 模型进行实证评估，因此认为该研究将有助于相关文章。
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Cumulative incidence of first episodes of VA-LRTI was estimated using the Kalbfleisch and Prentice method, and compared using Fine-and Gray models.
使用 Kalbfleisch 和 Prentice 方法估计 VA-LRTI 首发的累积发病率，并使用 Fine-and Gray 模型进行比较。
使用 Kalbfleisch 和 Prentice 方法估计 VA-LRTI 首发的累积发病率，并使用 Fine-and Gray 模型进行比较。
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Descriptive analyses of prognostic factors, treatment, and outcome-analyses using the Kaplan-Meier method, cumulative incidence in consideration of competing risks, and multivariate analyses (Cox-regression and Fine-Gray model) were conducted.
使用 Kaplan-Meier 方法对预后因素、治疗和结果分析、考虑竞争风险的累积发病率和多变量分析（Cox 回归和 Fine-Gray 模型）进行了描述性分析。
使用 Kaplan-Meier 方法对预后因素、治疗和结果分析、考虑竞争风险的累积发病率和多变量分析（Cox 回归和 Fine-Gray 模型）进行了描述性分析。
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Kaplan-Meier and Cox regression were used for analysis of overall survival whilst cumulative incidence with competing risks and Fine and Gray models were used for analysis of relapse and non-relapse mortality (NRM).
Kaplan-Meier 和 Cox 回归用于分析总生存期，而具有竞争风险的累积发病率和 Fine 和 Gray 模型用于分析复发和非复发死亡率 (NRM)。
Kaplan-Meier 和 Cox 回归用于分析总生存期，而具有竞争风险的累积发病率和 Fine 和 Gray 模型用于分析复发和非复发死亡率 (NRM)。
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Firstly, the gray model is used to predict sea level and the amount of EDP.
首先，使用灰色模型预测海平面和EDP量。
首先，使用灰色模型预测海平面和EDP量。
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Competitive risk analysis (Fine and Gray model) was used to identify the association between SPSSs and complications and mortality.
竞争风险分析（Fine and Gray 模型）用于确定 SPSS 与并发症和死亡率之间的关联。
竞争风险分析（Fine and Gray 模型）用于确定 SPSS 与并发症和死亡率之间的关联。
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Competing risk analysis and Fine and Gray model were used to estimate the cumulative incidences of the first readmission and the first reoperation.
竞争风险分析和Fine and Gray模型用于估计第一次再入院和第一次再手术的累积发生率。
竞争风险分析和Fine and Gray模型用于估计第一次再入院和第一次再手术的累积发生率。
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Fine-Gray model was used to estimate case-fatality and Cox proportional regression model all-cause mortality.
Fine-Gray模型用于估计病死率，Cox比例回归模型用于估计全因死亡率。
Fine-Gray模型用于估计病死率，Cox比例回归模型用于估计全因死亡率。
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In the multivariate Fine and Gray model, advanced patient age (HR: 0.
在多变量 Fine 和 Gray 模型中，高龄患者 (HR: 0.
在多变量 Fine 和 Gray 模型中，高龄患者 (HR: 0.
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Competing risk analysis and Fine and Gray model were used to estimate the cumulative incidences of the first readmission and the first reoperation.
竞争风险分析和Fine and Gray模型用于估计第一次再入院和第一次再手术的累积发生率。
竞争风险分析和Fine and Gray模型用于估计第一次再入院和第一次再手术的累积发生率。
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Significant prognostic factors for LRR were identified by the Fine-Gray model to develop a prognostic index (PI) in the training set.
通过 Fine-Gray 模型确定 LRR 的重要预后因素，以在训练集中开发预后指数 (PI)。
通过 Fine-Gray 模型确定 LRR 的重要预后因素，以在训练集中开发预后指数 (PI)。
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Estimates of cumulative incidence of VTE were calculated with death as competing risk; significance was determined using the Fine and Gray model.
VTE 累积发病率的估计值以死亡为竞争风险进行计算；使用 Fine 和 Gray 模型确定显着性。
VTE 累积发病率的估计值以死亡为竞争风险进行计算；使用 Fine 和 Gray 模型确定显着性。
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Fine and Gray models were used to identify factors associated with receipt of chemotherapy accounting for the competing risk of death.
Fine 和 Gray 模型用于确定与接受化疗相关的因素，这些因素会导致死亡的竞争风险。
Fine 和 Gray 模型用于确定与接受化疗相关的因素，这些因素会导致死亡的竞争风险。
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Combining the gray model to predict the water quality of Qingshan Reservoir, the analysis results show that the grey model has good applicability for the prediction of reservoir water quality.
结合灰色模型对青山水库水质进行预测，分析结果表明，灰色模型对水库水质预测具有良好的适用性。
结合灰色模型对青山水库水质进行预测，分析结果表明，灰色模型对水库水质预测具有良好的适用性。
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Death was considered as a competing event in Fine-Gray models to assess the association between PH and kidney failure.
在 Fine-Gray 模型中，死亡被认为是一个竞争事件，以评估 PH 与肾衰竭之间的关联。
在 Fine-Gray 模型中，死亡被认为是一个竞争事件，以评估 PH 与肾衰竭之间的关联。
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Firstly, a gray model is used to predict the traffic congestion of each road and the length of each road calculated in the traditional Dijkstra’s algorithm (DA) is modified for path planning.
首先，使用灰色模型预测每条道路的交通拥堵情况，并对传统Dijkstra算法（DA）中计算的每条道路长度进行修改以进行路径规划。
首先，使用灰色模型预测每条道路的交通拥堵情况，并对传统Dijkstra算法（DA）中计算的每条道路长度进行修改以进行路径规划。