A Multistate Model Predicting Mortality, Length of Stay, and Readmission for Surgical Patients

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The impact of frailty on outcomes of paraesophageal hernia repair.A stochastic estimation procedure for intermittently-observed semi-Markov multistate models with back transitions.Occupancy time in sets of states for demographic models.

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A Multistate Model Predicting Mortality, Length of Stay, and Readmission for Surgical Patients

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2015年論文

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A Multistate Model Predicting ...... dmission for Surgical Patients

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A Multistate Model Predicting ...... dmission for Surgical Patients

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Brad M Cushing

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David E Clark

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Kaitlin R Ostrander

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Hazard regression with interval-censored data.

Missing data in the American College of Surgeons National Surgical Quality Improvement Program are not missing at random: implications and potential impact on quality assessments.

The revolving door of rehospitalization from skilled nursing facilities

Missing data and interpretation of cancer surgery outcomes at the American College of Surgeons National Surgical Quality Improvement Program.

Risk prediction models for hospital readmission: a systematic review.

Multistate models for comparing trends in hospitalizations among young adult survivors of colorectal cancer and matched controls.

Concurrent prediction of hospital mortality and length of stay from risk factors on admission.

Multi-state models for event history analysis.

Comparison between clinical registry and medicare claims data on the classification of hospital quality of surgical care.

Assessing readmission after general, vascular, and thoracic surgery using ACS-NSQIP.

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1074-1094

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scholarly article

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10.1111/1475-6773.12400

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2015-10-20T00:00:00Z

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4874834

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A Multistate Model Predicting Mortality, Length of Stay, and Readmission for Surgical Patients

about

P2860

P2860

A Multistate Model Predicting Mortality, Length of Stay, and Readmission for Surgical Patients

description

name

type

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prefLabel

P1433

P1476

P2093

P2860

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P932

P356

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P2860

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P356

P433

P478

P577

P698

P932