A unified approach for modeling longitudinal and failure time data, with application in medical monitoring

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 18, Issue 2, 1996, Pages 109-123

  Berzuini, Carlo ^a   Larizza, Cristiana ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

Analysis of failure data; Analysis of time series data; Bayesian inference; Conditional independence graphs; Markov chain monte carlo methods; Medical monitoring; Model determination; Statistical forecasting

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DATA STRUCTURES; FORECASTING; GRAPH THEORY; HIERARCHICAL SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; PATIENT MONITORING; RANDOM PROCESSES; TIME SERIES ANALYSIS;

BAYESIAN INFERENCE; CONDITIONAL INDEPENDENCE GRAPHS; FAILURE TIME DATA; MEDICAL MONITORING; NONPARAMETRIC SMOOTHING; STATISTICAL FORECASTING; SURVIVAL ANALYSIS;

MEDICAL COMPUTING;

EID: 0030084172     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.481537     Document Type: Article

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