Data Numerica Institute, Inc.

Bellevue, WA 98006

SBIR Award Summary

Total Number of Awards 12
Total Value of Awards $3.99MM
First Award Date 04/15/06
Most Recent Award Date 05/01/16

Key Personnel

Last Name Name Awards Contact
Chao Edward C Chao 12

12 Awards Won

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-14-071
Budget: 05/01/16 - 04/30/17

? DESCRIPTION (provided by applicant): Missing data, censored data and surrogate markers are common incomplete data problems in biomedical data analysis. In this project, we are interested in statistical methods for experimental, observational, and genetic studies where there exist missing data, measurement errors, and surrogate markers. Examp...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-14-071
Budget: 05/01/15 - 04/30/16

DESCRIPTION (provided by applicant): Missing data, censored data and surrogate markers are common incomplete data problems in biomedical data analysis. In this project, we are interested in statistical methods for experimental, observational, and genetic studies where there exist missing data, measurement errors, and surrogate markers. Examples ...

Phase 1 SBIR

Agency: Department of Health & Human Services
Topic: PA-11-096
Budget: 06/01/12 - 02/28/13

DESCRIPTION (provided by applicant): Missing data and measurement errors are common problems in statistical data analysis. We are interested in experimental and observational studies where there exist missing data and measurement errors problems. Examples include health surveys containing non-responders or missing items, surrogate marker data wi...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-07-280
Budget: 06/01/10 - 05/31/12

DESCRIPTION (provided by applicant): Longitudinal data are very common in sociological, behavioral and biomedical researches. The data may come from longitudinal clinical trials, community surveys, family studies or spatial-temporal studies to investigate some health outcomes. The responses are measured repeatedly over a period of time, and it c...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-07-280
Budget: 06/16/09 - 05/31/10

DESCRIPTION (provided by applicant): Longitudinal data are very common in sociological, behavioral and biomedical researches. The data may come from longitudinal clinical trials, community surveys, family studies or spatial-temporal studies to investigate some health outcomes. The responses are measured repeatedly over a period of time, and it c...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-07-80
Budget: 07/18/08 - 01/17/09

DESCRIPTION (provided by applicant): Longitudinal data are very common in sociological, behavioral and biomedical researches. The data may come from longitudinal clinical trials, community surveys, family studies or spatial-temporal studies to investigate some health outcomes. The responses are measured repeatedly over a period of time, and it c...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-06-06
Budget: 06/01/08 - 05/31/10

DESCRIPTION (provided by applicant): Multilevel data are very common in sociological, behavioral and biomedical researches. The data could come from longitudinal community surveys, genetic family studies or spatial-temporal studies to investigate some health outcomes. Typically, the interest focuses on the impact of some treatment intervention. ...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 02/01/08 - 06/30/10

Correlated data are very common in health studies. Such data could come from longitudinal studies, community panel surveys, genetic family studies or spatial studies. Typically, linear mixed-effect models are used for modeling continuous response, and generalized linear mixed models are applied to non-Gaussian data. In addition to such likelihoo...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic: PA-06-06
Budget: 06/01/07 - 05/31/08

DESCRIPTION (provided by applicant): Multilevel data are very common in sociological, behavioral and biomedical researches. The data could come from longitudinal community surveys, genetic family studies or spatial-temporal studies to investigate some health outcomes. Typically, the interest focuses on the impact of some treatment intervention. ...

Phase 2 SBIR

Agency: Department of Health & Human Services
Topic:
Budget: 02/15/07 - 01/31/08

Correlated data are very common in health studies. Such data could come from longitudinal studies, community panel surveys, genetic family studies or spatial studies. Typically, linear mixed-effect models are used for modeling continuous response, and generalized linear mixed models are applied to non-Gaussian data. In addition to such likelihoo...

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