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> MRCV research Journal article web pages containing programs, tables,
and other important items:
Journal articles without web pages:
- Bilder, C. R. and Loughin, T. M. (2004).
Testing for Marginal Independence Between Two Categorical Variables with
Multiple Responses. Biometrics 60, 241-8.
- Bilder, C. R. and Loughin, T. M. (2003).
Strategies for Modeling Two Categorical Variables with Multiple Category
Choices. 2003 Proceedings of the American Statistical Association,
Section on Survey Research Methods [CD-ROM], Alexandria, VA:
American Statistical Association, 560-567.
- Bilder, C. R. and Loughin, T. M. (2002).
Testing for Conditional Multiple Marginal Independence. Biometrics
58, 200-208.
- Bilder, C. R. and Loughin, T. M. (2002). Testing
for Simultaneous Pairwise Marginal Independence. 2002 Proceedings of
the American Statistical Association, Biometrics Section [CD-ROM],
Alexandria, VA: American Statistical Association, 254-259.
- Bilder, C. R. and Loughin, T. M. (2001). On the
First-Order Rao-Scott Correction of the Umesh-Loughin-Scherer
Statistic. Biometrics 57, 1253-1255.
- Bilder, C. R., Loughin, T. M., and Nettleton, D.
(2000). Multiple Marginal Independence Testing for Pick Any/c
Variables. Communications in Statistics: Simulation and Computation
29(4), 1285-1316.
Presentations:
- Bilder, C. R. and Loughin, T. M. “Modeling
multiple-response categorical data from complex surveys,” Invited seminar,
Washington Statistical Society, September 7, 2007; Washington, DC.
- Bilder, C. R. and Loughin, T. M. “Estimation and
testing for association with multiple-response categorical variables
from complex surveys,” Invited paper, 2007 Joint Statistical Meetings,
July 30, 2007; Salt Lake City, UT.
- Bilder, C. R. "Modeling Association Between Two
or More Multiple-Response Categorical Variables,” Invited seminar,
Department of Statistics, University of South Carolina, November 4,
2005; Columbia, SC.
- Bilder, C. R. “Modeling Association Between Two or
More Multiple-Response Categorical Variables,” Departmental seminar,
Department of Statistics, University of Nebraska-Lincoln, September 8,
2004; Lincoln, NE.
- Bilder, C. R. and Loughin, T. M. “Testing for
Marginal Dependence Between Two or More Multiple-Response Categorical
Variables,” Invited seminar, Third Annual Funding Opportunity in Survey
and Statistical Research Seminar sponsored by the Federal Committee on
Statistical Methodology, June 21, 2004; Washington, DC.
- Bilder, C. R. and Loughin, T. M. “Modeling Two
or More Categorical Variables that Allow for Multiple Category Choices,”
Contributed poster, 2004 IBS ENAR meetings, March 28, 2004; Pittsburgh,
PA.
- Bilder, C. R. and Loughin, T. M. “Strategies for
Modeling Two Categorical Variables with Multiple Category Choices,”
Contributed poster, 2003 Joint Statistical Meetings, August 6, 2003; San
Francisco, CA.
- Bilder, C.R. “Testing for Marginal Independence
between Two or More Multiple-Response Categorical Variables,” Invited
seminar, Department of Statistics, Kansas State University, March 13,
2003; Manhattan, KS.
- Bilder, C. R. and Loughin, T. M. “Testing for
Simultaneous Pairwise Marginal Independence,” Contributed paper, 2002
Joint Statistical Meetings, August 12, 2002; New York, NY.
- Bilder, C. R. and Loughin, T. M. “Testing for
Marginal Independence Between Two Categorical Variables with Multiple
Responses,” Contributed paper, 2002 IBS ENAR meetings, March 19, 2002;
Washington, DC.
- Bilder, C. R. and Loughin, T. M. “Testing for
Conditional Multiple Marginal Independence in the Presence of Pick Any/c
Variables,” Contributed paper, 2001 Joint Statistical Meetings, August
7, 2001; Atlanta, GA.
- Bilder, C. R. and
Loughin, T. M. “Testing for Conditional Multiple Marginal
Independence,” Contributed paper, 2001 IBS ENAR meetings, March 26,
2001; Charlotte, NC.
- Bilder, C. R., Loughin, T. M., and Nettleton,
D. “A Comparison of Multiple Marginal Independence Testing Methods,”
Contributed poster, 2000 Joint Statistical Meetings, August 14, 2000;
Indianapolis, IN.
Much of this research has been supported by National
Science Foundation grants SES-0418688, SES-0418632, SES-0207212, and
SES-0233321.
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