杠杆支点
发表于 2025-3-26 22:17:10
Assessing Discrimination of Risk Prediction Rules in a Clustered Data Setting this setting. Both data analyses based on progression of AMD and simulation studies show reasonable accuracy of this extended Mann-Whitney U test to assess discrimination of eye-specific risk prediction rules.
ANTIC
发表于 2025-3-27 04:29:29
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遗产
发表于 2025-3-27 09:17:55
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Grievance
发表于 2025-3-27 10:51:39
Non-proportionality of Hazards in the Competing Risks Frameworkes between the exposed and unexposed groups for each event type. Methods and software are widely available to semi-parametrically model the sub-hazards of the cumulative incidences as proportional and to test whether the constant relative sub-hazards (.. and ..) are different from 1. In this chapter
细胞膜
发表于 2025-3-27 16:01:34
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OFF
发表于 2025-3-27 20:32:04
Connecting Threshold Regression and Accelerated Failure Time Modelszards assumption is violated. Threshold regression is a relatively new alternative model for analyzing time-to-event data with non-proportional hazards. It is based on first-hitting-time models, where the time-to-event data can be modeled as the time at which the stochastic process of interest first
小步舞
发表于 2025-3-28 00:09:49
Neyman, Markov Processes and Survival Analysism Biol 23(30):205–241, 1951) that uses finite homogeneous Markov processes to analyse clinical trials with breast cancer patients. We revisit the F-N model, and compare it with the Kaplan-Meier (K-M) formulation for right censored data. The comparison offers a way to generalize the K-M formulation t
鄙视读作
发表于 2025-3-28 02:31:56
Quantiles of Residual Survivalrly, for medical interventions residual survival characterizes the subsequent experience of patients who survive beyond the beginning of follow-up. Here we show how quantiles of the residual survival distribution can be used to provide such a characterization. We first discuss properties of the resi
Ceremony
发表于 2025-3-28 09:03:23
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canvass
发表于 2025-3-28 13:26:06
Estimating Improvement in Prediction with Matched Case-Control Designss study designs to evaluate the improvement in prediction performance that is gained by adding a new predictor to a risk prediction model. We consider studies that measure the new predictor in a case-control subset of the study cohort, a practice that is common in biomarker research. We ask if match