Time and Event
Discrete measurement, continuous time and event history modeling
... the time being modeled follows a continuous ...practice time is always measured ...continuous time variable creates an interval-censored duration sample, meaning the true values of the durations are ...
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Contingency, time and event: An archaeological approach to the film festival
... labor time, and conversely, the desire for singular experience, differentiation and ...the event has already happened (and is therefore contained) in a time prior to ...of time always already ...
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Real Time Event Detection Adopting Incremental TF IDF based LSH and Event Summary Generation
... Real- time event detection has challenges such as collection and processing of large volume of data in addition to the regular challenges such as limited tweet length, misinformation, typographical and ...
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Kaplan-Meier Plot. Time to Event Analysis Diagnostic Plots. Outline. Simulating time to event. The Kaplan-Meier Plot. Visual predictive checks
... Data template can be used to simulate warfarin PK (AMT, RATE, ADDL, II) and changes in prothrombin complex activity (PCA; DVID=1) and international normalised ratio (INR, DVID=2) as well as interval censored time ...
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Adjusted estimates for time-to-event endpoints.
... of time-to-event data derived from phase II clinical trials or retrospective studies in hematopoietic cell transplantation (HCT), Cox regression is typically used to quantify the difference in outcome ...
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Nonparametric Adjustment for Measurement Error in Time to Event Data
... in time to event data used as a predictor will lead to inaccurate ...a time to event predictor often measured with error, used in Mendelian risk prediction ...
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Bayesian analysis of default and credit migration : latent factor models for event count and time-to-event data
... economy, time and industry ...in time and across industry sectors in our ...of time for obligors stay in. Therefore we use time-to-event analysis to model default ...allow ...
148
A log-Weibull spatial scan statistic for time to event data
... We have proposed the SSS for the log-Weibull distri- bution as a new approach for detecting spatial clusters for time to event data. The log-Weibull distribution has wide applications in extreme value ...
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Collaborative Targeted Maximum Likelihood For Time To Event Data
... The C-TMLE estimates exhibit all of the advantages of the TMLE estimates discussed in the previous section as well as these two major advantages presented here. The advan- tages of C-TMLE estimators are particularly ...
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Reference Based Sensitivity Analysis for Time-to-Event Data
... a time varying exposure, such as ART, and a time varying marker, such as CD4 ...a time-to-event outcome, such as time to disease progression, then the usual statistical analysis ...
295
A Discrete Event Model for Real Time System Simulation
... discrete event model to design and implement a real time system ...discrete event model fits perfectly with discrete dynamical system such as Real Time ...The event graph technique is ...
5
Methods for event time series prediction and anomaly detection
... univariate event time series, where each sample is a single sequence of ...multivariate event time series, where each sample is multiple sequences of ...multivariate event time ...
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Inferring Activity Time in News through Event Modeling
... each event cluster ...the event clusters which we cre- ate using ...activity time in phase one out of the total number of activ- ity time inferences made in phase ...about event ...
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Real Time Detection and Tracking of Spatial Event Clusters
... The clusters of lightning strike events are visually represented using several com- plementary techniques. The semi-transparent polygons represent the spatial convex hulls of the clusters. The violet-colored polygons ...
5
Calculation of NNTs in RCTs with time-to-event outcomes: A literature review
... 53.8%). Time-to-event outcomes were investigated in 373 (51%) articles; the other 361 articles used binary ...follow-up time was equal for all patients and no censoring ...presented time-to- ...
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An event model for real time systems in mobile environments
... an event as a tag to explicitly identify the event's type and enable basic filtering and some form of type checking on event ...An event is further characterized by a set of functional and ...
6
Detecting and Explaining Causes From Text For a Time Series Event
... choose the spiking words based on their temporal dynamics (See Table 4). For example, if a word is too frequent or the time series is too burst, the word should be filtered out because the trend is too general to ...
10
Time Quantum GVT: A Scalable Computation of the Global Virtual Time in Parallel Discrete Event Simulations
... Virtual Time (or GVT) [4] was first introduced by Jefferson to track the earliest unprocessed events in the entire ...processed event with a timestamp earlier than the current GVT will not be rolled back ...
13
Real-time traffic event detection using Twitter data
... Incident detection is an important component of Intelligent Transport Systems (ITS) and plays a key role in urban traffic management and provision of traveller information services. Due to its importance, a wide number ...
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Performance of methods to conduct mediation analysis with time-to-event outcomes
... a time-to-event outcome that are based on either the AFT model or the Cox PH ...with time-to-event outcomes, which includes code to check the PH and Weibull ...
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