Cost Prediction Using a Survival Grouping Algorithm: An Application to Incident Prostate Cancer Cases.

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Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis

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Cost Prediction Using a Survival Grouping Algorithm: An Application to Incident Prostate Cancer Cases.

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Cost Prediction Using a Surviv ...... ncident Prostate Cancer Cases.

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Cost Prediction Using a Surviv ...... ncident Prostate Cancer Cases.

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Cost Prediction Using a Surviv ...... ncident Prostate Cancer Cases.

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Cost Prediction Using a Surviv ...... Incident Prostate Cancer Cases

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Eberechukwu Onukwugha

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Ran Qi

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Shujia Zhou

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Disparities by Race, Age, and Sex in the Improvement of Survival for Major Cancers: Results From the National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) Program in the United States, 1990 to 2010.

Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.

Effects of multiple chronic conditions on health care costs: an analysis based on an advanced tree-based regression model

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Risk factors of PSA progression and overall survival in patients with localized and locally advanced prostate cancer treated with primary androgen deprivation therapy

Design of the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.

Medical care cost of patients with prostate cancer.

Using a personal health care cost calculator to estimate future expenditures based on individual health risks.

The development of risk groups in men with metastatic castration-resistant prostate cancer based on risk factors for PSA decline and survival.

Racial disparities in urologist visits among elderly men with prostate cancer: a cohort analysis of patient-related and county of residence-related factors.

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s40273-015-0368-6

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207-216

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scholarly article

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10.1007/S40273-015-0368-6

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Jinani Jayasekera

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2016-02-01T00:00:00Z

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1019789729

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26714688

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Cost Prediction Using a Survival Grouping Algorithm: An Application to Incident Prostate Cancer Cases.

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P2860

P2860

Cost Prediction Using a Survival Grouping Algorithm: An Application to Incident Prostate Cancer Cases.

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