نتائج البحث

Handling Missing Responses in Generalized Linear Mixed Model Without Specifying Missing Mechanism.

• Authors : Zhang, Hui¹ (AUTHOR); Paik, MyungheeCho² (AUTHOR)

Subjects: *ESTIMATION bias; *RESEARCH; LONGITUDINAL method

• Source: Journal of Biopharmaceutical Statistics. Nov/Dec2009, Vol. 19 Issue 6, p1001-1017. 17p. 5 Charts, 3 Graphs.

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Mixed models approaches for joint modeling of different types of responses.

• Authors : Ivanova, Anna^1,2 (AUTHOR) ; Molenberghs, Geert^2,3 (AUTHOR); Verbeke, Geert^2,3 (AUTHOR)

• Source: Journal of Biopharmaceutical Statistics. 2016, Vol. 26 Issue 4, p601-618. 18p. 9 Charts.

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Analyzing ordinal data from a split-plot design in the presence of a random block effect.

• Authors : Arnouts, Heidi¹ (AUTHOR) ; Goos, Peter^1,2 (AUTHOR)

Subjects: *RANDOM variables; *LINEAR statistical models; RANDOMIZATION (Statistics)

• Source: Quality Engineering. Oct-Dec2017, Vol. 29 Issue 4, p553-562. 10p.

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Effect of the Presence of Emergency Departments With 300 or More Hospital Beds in Health Service Areas on 30-Day Mortality in Korea: A Nationwide Retrospective Cross-sectional Study.

• Authors : Gyung Won Lee, Stephen¹; Haibin Bai²; Joo Won Park³

Subjects: *HEALTH services administration; *NATIONAL health insurance; HEALTH service areas

• Source: International Journal of Health Policy & Management. 2024, Vol. 13 Issue 1, p1-8. 8p.

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A benchmark study on current GWAS models in admixed populations.

• Authors : Yang, Zikun^1,2 (AUTHOR); Cieza, Basilio^1,2 (AUTHOR); Reyes-Dumeyer, Dolly^1,2,3 (AUTHOR)

Subjects: GENOME-wide association studies; NATIVE Americans; GENE frequency

• Source: Briefings in Bioinformatics. Jan2024, Vol. 25 Issue 1, p1-9. 9p.

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First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events.

• Authors : Lin, Yu-Kai¹ (AUTHOR) ; Fang, Xiao² (AUTHOR)

Subjects: *DESIGN science; *HOSPITAL quality control; STOCHASTIC learning models

• Source: Journal of Management Information Systems. 2021, Vol. 38 Issue 4, p1122-1149. 28p. 2 Diagrams, 4 Charts, 1 Graph.

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A model for overdispersed hierarchical ordinal data.

• Authors : Ivanova, Anna¹; Molenberghs, Geert² ; Verbeke, Geert³

Subjects: *LINEAR statistical models; ORDINAL numbers; GAUSSIAN processes

• Source: Statistical Modelling: An International Journal. Oct2014, Vol. 14 Issue 5, p399-415. 17p.

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Comparisons of Methods for Analysis of Repeated Binary Responses with Missing Data.

• Authors : Frank Liu, G.¹ (AUTHOR) ; Zhan, Xiaojiang¹ (AUTHOR)

Subjects: *STATISTICAL hypothesis testing; MULTIPLE imputation (Statistics); MISSING data (Statistics)

• Source: Journal of Biopharmaceutical Statistics. May/Jun2011, Vol. 21 Issue 3, p371-392. 22p. 8 Charts.

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Estimating Reliability and Generalizability from Hierarchical Biomedical Data.

• Authors : Molenberghs, Geert¹ (AUTHOR) ; Laenen, Annouschka¹ (AUTHOR); Vangeneugden, Tony² (AUTHOR)

Subjects: *RESEARCH; CLINICAL trials; MEDICINE

• Source: Journal of Biopharmaceutical Statistics. Aug2007, Vol. 17 Issue 4, p595-627. 33p. 10 Charts, 8 Graphs.

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The temporal dynamics of attention: Thinking about oneself comes at a cost in sub-clinical depression but not in healthy participants.

• Authors : Wang, Jing^1,2,3 (AUTHOR); Hoekstra, Corné⁴ (AUTHOR); Enriquez-Geppert, Stefanie^1,2,5 (AUTHOR)

Subjects: *COST; ATTENTIONAL blink; MENTAL rotation

• Source: Current Psychology. Aug2023, Vol. 42 Issue 23, p19561-19572. 12p.

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