Titlebook: Risk Assessment and Evaluation of Predictions; Mei-Ling Ting Lee,Mitchell Gail,Axel Gandy Conference proceedings 2013 Springer Science+Bus

杠桿支點(diǎn)

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

遺產(chǎn)

Grievance

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

細(xì)胞膜

OFF

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

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

鄙視讀作

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

canvass

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