Multisource spectral-integrated estimation of cadmium concentrations in soil using a direct standardization and Spiking algorithm

Integrated estimation of strength properties of complex-structure coal seams

MINING INFORMATIONAL AND ANALYTICAL BULLETIN ◽

10.25018/0236-1493-2019-08-0-33-41 ◽

2019 ◽

Vol 8 ◽

pp. 33-41 ◽

Cited By ~ 20

Author(s):

Yu.N. Linnik ◽

◽

V.Yu Linnik ◽

A.B. Zhabin ◽

A.V. Polyakov ◽

...

Keyword(s):

Complex Structure ◽

Strength Properties ◽

Coal Seams ◽

Integrated Estimation

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An Integrated Estimation and Modeling Environment for the Design of the Orbital Space Plane

Proceedings of the 2004 Winter Simulation Conference, 2004. ◽

10.1109/wsc.2004.1371349 ◽

2005 ◽

Author(s):

D. Cope ◽

M. Mollaghasemi ◽

A. Kaylani ◽

A.J. Ruiz-Torres ◽

M.J. Steele ◽

...

Keyword(s):

Modeling Environment ◽

Orbital Space ◽

Integrated Estimation

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Solving signal instability to maintain the second-order advantage in the resolution and determination of multi-analytes in complex systems by modeling liquid chromatography–mass spectrometry data using alternating trilinear decomposition method assisted with piecewise direct standardization

Journal of Chromatography A ◽

10.1016/j.chroma.2015.06.049 ◽

2015 ◽

Vol 1407 ◽

pp. 157-168 ◽

Cited By ~ 7

Author(s):

Hui-Wen Gu ◽

Hai-Long Wu ◽

Xiao-Li Yin ◽

Shan-Shan Li ◽

Ya-Juan Liu ◽

...

Keyword(s):

Mass Spectrometry ◽

Liquid Chromatography ◽

Complex Systems ◽

Decomposition Method ◽

Mass Spectrometry Data ◽

Liquid Chromatography Mass Spectrometry ◽

Trilinear Decomposition ◽

Alternating Trilinear Decomposition ◽

Direct Standardization

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Abstract 005: A Comparison of Methods for Identifying Hospital Performance Outliers in Cardiac Surgery

Circulation Cardiovascular Quality and Outcomes ◽

10.1161/circoutcomes.10.suppl_3.005 ◽

2017 ◽

Vol 10 (suppl_3) ◽

Author(s):

Xiaoting Wu ◽

Min Zhang ◽

Richard L Prager ◽

Donald S Likosky

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Random Effect ◽

Hospital Performance ◽

Fixed Effect ◽

Logistic Regression Models ◽

Indirect Standardization ◽

Statistical Approaches ◽

Random Effect Models ◽

Direct Standardization

Introduction: A number of statistical approaches have been advocated and implemented to estimate adjusted hospital outcomes for public reporting or reimbursement. Nonetheless, the ability of these methods to identify hospital performance outliers in support of quality improvement has not yet been fully investigated. Methods: We leveraged data from patients undergoing coronary artery bypass grafting surgery between 2012-2015 at 33 hospitals participating in a statewide quality collaborative. We applied 5 different statistical approaches (1: indirect standardization with standard logistic regression models, 2: indirect standardization with fixed effect models, 3: indirect standardization with random effect models, 4: direct standardization with fixed effect models, 5: direct standardization with random effect models) to estimate hospital post-operative pneumonia rates adjusting for patients’ risk. Unlike the standard logistic regression models, both fixed effect and random effect models accounted for hospital effect. We applied each method to each year, and subsequently compared methods in their ability to identify hospital performance outliers. Results: Pneumonia rates ranged from 0 % to 24 %. The standard logistic regression models for 2013-2015 had c-statistics of 0.73-0.75, fixed effect models had c-statistics of 0.81-0.83, and random effect models had c-statistics of 0.80-0.83. Each method differed in its ability to identify performance outliers (Figure 1). In direct standardization, random effect models stabilized the hospital rates by moving the estimated rates toward the average rate, fixed effect models produced larger standard errors of hospital effect (particularly for hospitals with low case volumes). In indirect standardization, the three models showed high agreement on their derived observed: expected ratio (intraclass correlation =0.95). Indirect standardization with fixed effect or random effect models, identified similar hospital performance outliers in each year. Conclusion: The five statistical approaches varied in their ability to identify performance outliers. Given its higher sensitivity to outlier hospitals, indirect standardization methods with fixed or random effect models, may be best suited to support quality improvement activities.

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