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Home Papers Lehre Skripte | |
Association and Odds Ratio Models
A.
Franke and G. Osius (2011, revised 2012): The Asymptotic Covariance Matrix of the Odds
Ratio Parameter Estimator in Semiparametric Log-bilinear Odds Ratio Models.
Universität Bremen.
Available at
http://arxiv.org/abs/1105.0852v1 (04-May-2011) and
http://arxiv.org/abs/1105.0852v2
(13-April-2012).
A.
Franke (2010): Invariance Properties of the Asymptotic Distribution of the
Odds Ratio Parameter Estimator with respect to Different Sampling Schemes and
Asymptotic Approaches in Semiparametric Odds Ratio Models with Log-bilinear
Association. Diploma
thesis (Supervisor: G. Osius), Universität Bremen.
PDF (Full text),
Abstract
G.
Osius (2009): Asymptotic
inference for
semiparametric
association models.
The Annals of Statistics 37, 459-489
PDF
(with corrections)
©
Institute of Mathematical Statistics,
2009. The original publication is available at
http://imstat.org/aos/
G.
Osius (2006): Semiparametric association models: Estimation and asymptotic
inference. Mathematik-Arbeitspapiere
No. 60, Universität Bremen
First version of the publication in
The Annals
of Statistics 37 (2009), 459-489
PDF
(5-Oct-2006)
G.
Osius (2004): The association between two random elements: A complete
characterization in terms of odds ratios.
Metrika 60, 261-277
PDF
(taken from
source below,
© Springer-Verlag
2004. The original publication is available at springerlink.com:
http://www.springerlink.com/index/10.1007/s001840300309
A. van der Linde and G. Osius
(2003): Discrimination based on an odds ratio parametrization
In: J.M. Bernardo et al. (Eds.), Bayesian Statistics 7, pp.
233-248. Oxford University Press
PDF
G.
Osius (2000): The association between two random elements: A complete
characterization in terms of odds ratios. Mathematik-Arbeitspapiere No. 53, Universität Bremen.
PDF
(Text: 24-Sept-2004, PDF:
16-March-2006), Abstract,
Revised paper
(Text: 24-Sept-2004, PDF:
16-March-2006),
A shorter version (proofs only sketched) is published in
Metrika
(2004).
G.
Osius (1993): Separating agreement from association in log-linear models for
square contingency tables with applications. Mathematik-Arbeitspapiere No.
43, Universität Bremen.
PDF (Text: 23-Jan-2001, PDF:
16-March-2006),
Abstract
Extended and revised version of the publication in Computational
Statistics 12 (1997), 311-328:
Log-linear models for association and agreement
in stratified square contingency tables.
PDF (Text: 2-Feb-2000,
PDF: 16-March-2006),
Abstract
Case-Control-Studies
G. Osius (2001): A formal derivation of the conditional likelihood for matched
case-control studies. Mathematik-Arbeitspapiere No.
55, Universität Bremen. .
PDF (Text: 7-Feb-2001, PDF:
16-March-2006),
Abstract
A. van der Linde and G. Osius
(1997): Estimation
of nonparametric risk functions in matched case-control studies.
Mathematik-Arbeitspapiere No.
49, Universität Bremen.
First version of the publication in Statistics in
Medicine 20 (2001), 1639-1662
PDF (Text: 7-Mar-2001, PDF:
16-March-2006),
Abstract
Goodness-of-Fit
U. Müller and G. Osius
(1998):
Asymptotic
normality of goodness-of-fit statistics for sparse Poisson data.
Mathematik-Arbeitspapiere No.
51, Universität Bremen.
PDF (Text: Jan-1998, PDF:
16-March-2006),
Abstract
Extended,
revised paper (Text: 21-Dec-2001, PDF:
16-March-2006),
Abstract
The final version is published in: Statistics 37 (2003), 119-143
G. Osius (1994): Evaluating the significance level of goodness-of-fit statistics for large discrete data. PDF (Text: 28-Feb-1994, PDF: 12-April-2006) Published in: Dirschedl, P. and Ostermann, R. (Eds.), Computational Statistics, Physica-Verlag Heidelberg, 1994.
G.
Osius and D. Rojek (1989): Normal goodness-of-fit tests for parametric
multinomial models with large degrees of freedom.
Mathematik-Arbeitspapiere No.
36, Universität Bremen.
With two applications
not included in the publication in the J. American Statistical Assoc. 87
(1992), 1145-1152.
PDF (Text: 10-Jan-2001, PDF:
11-March-2006), Abstract
G. Osius
(1985): Goodness-of-fit
tests for binary
data with (possible)
small expectations but
large degrees of
freedom.
Statistics & Decisions, Supplement Issue No. 2, 213-224
Miscellaneous
G.
Osius (1989): Some results on convergence of moments and convergence in
distributions with applications in statistics.Mathematik-Arbeitspapiere No.
33, Universität Bremen.
PDF (Text: 8-Jan-2001,
PDF: 11-March-2006),
Abstract
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