David Kraus

Publications

Papers

[paper:jspi2009] Adaptive Neyman's smooth tests of homogeneity of two samples of survival data [PDF, 260 kB]: J. Statist. Plann. Inference, 139, 3559–3569, 2009
doi:10.1016/j.jspi.2009.04.009
[BibTeX]
@article{jspi2009, author = "Kraus, D.", title = "Adaptive Neyman's smooth tests of homogeneity of two samples of survival data", journal = "J. Statist. Plann. Inference", year = 2009, volume = 139, pages = "3559-3569"}
[paper:kybernetika2009] Checking proportional rates in the two-sample transformation model: Kybernetika, 45, 261–278, 2009
Available from http://kybernetika.utia.cas.cz/content/452941.html
[BibTeX]
@article{kybernetika2009, author = "Kraus, D.", title = "Checking proportional rates in the two-sample transformation model", journal = "Kybernetika", year = 2009, volume = 45, pages = "261--278"}
[paper:comstat2008] Identifying nonproportional covariates in the Cox model [PDF, 97 kB]: Comm. Statist. Theory Methods, 37, 617–625, 2008
doi:10.1080/03610920701669744
[BibTeX]
@article{comstat2008, author = "Kraus, D.", title = "Identifying nonproportional covariates in the {Cox} model", journal = "Comm. Statist. Theory Methods", year = 2008, volume = 37, pages = "617--625"}
[paper:lida2007] Data-driven smooth tests of the proportional hazards assumption [PDF, 212 kB]: Lifetime Data Anal., 13, 1–16, 2007
The original publication is available at www.springerlink.com
doi:10.1007/s10985-006-9027-8
[BibTeX]
@article{lida2007, author = "Kraus, D.", title = "Data-driven smooth tests of the proportional hazards assumption", journal = "Lifetime Data Anal.", year = 2007, volume = 13, pages = "1--16"}
[paper:spl2004] Goodness-of-fit inference for the Cox–Aalen additive–multiplicative regression model [PDF, 227 kB]: Statist. Probab. Lett., 70, 285–298, 2004
doi:10.1016/j.spl.2004.10.014
[BibTeX]
@article{spl2004, author = "Kraus, D.", title = "Goodness-of-fit inference for the {Cox--Aalen} additive--multiplicative regression model", journal = "Statist. Probab. Lett.", year = 2004, volume = 70, pages = "285--298"}

Contributions to proceedings

[contrib:biostat2006] Generalized linear models for marked point processes [PDF, 106 kB]: Proceedings of BIOSTAT 2006, 353–358, University of Cyprus, Nicosia, 2006
[BibTeX]
@incollection{biostat2006, author = "Kraus, D.", title = "Generalized linear models for marked point processes", booktitle = "Proceedings of BIOSTAT 2006", publisher = "University of Cyprus, Nicosia", year = 2006, pages = "353--358"}
[contrib:robust2006] Generalized linear models for marked point processes: Proceedings of ROBUST 2006, 181–188, JČMF, Prague, 2006
In Czech
The proceedings available from http://www.statspol.cz/robust/robust2006/robust2006.pdf
[BibTeX]
@incollection{robust2006, author = "Kraus, D.", title = "Generalized linear models for marked point processes", booktitle = "Proceedings of ROBUST 2006", publisher = "J\v{C}MF, Prague", year = 2006, pages = "181--188"}
[contrib:wds2004] Testing Goodness of Fit of Hazard Regression Models [PDF, 274 kB]: WDS 2004 Proceedings of Contributed Papers, Part I: Mathematics and Computer Sciences, 6–12, Matfyzpress, Prague, 2004
[BibTeX]
@incollection{wds2004, author = "Kraus, D.", title = "Testing Goodness of Fit of Hazard Regression Models", booktitle = "WDS 2004 Proceedings of Contributed Papers, Part I: Mathematics and Computer Sciences", publisher = "Matfyzpress, Prague", year = 2004, pages = "6--12"}
[contrib:robust2004] Testing goodness of fit in the Cox–Aalen model: Proceedings of ROBUST 2004, 225–232, JČMF, Prague, 2004
The proceedings available from http://www.statspol.cz/robust/2004_robust2004.pdf
[BibTeX]
@incollection{robust2004, author = "Kraus, D.", title = "Testing goodness of fit in the {Cox--Aalen} model", booktitle = "Proceedings of ROBUST 2004", publisher = "J\v{C}MF, Prague", year = 2004, pages = "225--232"}

Research reports

[report:utia2007-2203] Checking proportional rates in the two-sample transformation model [PDF, 257 kB]: Research Report 2203, Institute of Information Theory and Automation, Prague, 2007
[BibTeX]
@techreport{utia2007-2203, author = "Kraus, D.", title = "Checking proportional rates in the two-sample transformation model", institution = "Institute of Information Theory and Automation, Prague", year = 2007, type = "Research Report", number = 2203}
[report:utia2007-2197] Smooth tests of equality of cumulative incidence functions in two samples [PDF, 408 kB]: Research Report 2197, Institute of Information Theory and Automation, Prague, 2007
[BibTeX]
@techreport{utia2007-2197, author = "Kraus, D.", title = "Smooth tests of equality of cumulative incidence functions in two samples", institution = "Institute of Information Theory and Automation, Prague", year = 2007, type = "Research Report", number = 2197}
[report:utia2007-2187] Adaptive Neyman's smooth tests of homogeneity of two samples of survival data [PDF, 221 kB]: Research Report 2187, Institute of Information Theory and Automation, Prague, 2007
[BibTeX]
@techreport{utia2007-2187, author = "Kraus, D.", title = "Adaptive {Neyman's} smooth tests of homogeneity of two samples of survival data", institution = "Institute of Information Theory and Automation, Prague", year = 2007, type = "Research Report", number = 2187}
[report:utia2006-2170] Identifying nonproportional covariates in the Cox model [PDF, 153 kB]: Research Report 2170, Institute of Information Theory and Automation, Prague, 2006
[BibTeX]
@techreport{utia2006-2170, author = "Kraus, D.", title = "Identifying nonproportional covariates in the {Cox} model", institution = "Institute of Information Theory and Automation, Prague", year = 2006, type = "Research Report", number = 2170}
[report:utia2005-2134] Data-driven smooth tests of the proportional hazards assumption [PDF, 215 kB]: Research Report 2134, Institute of Information Theory and Automation, Prague, 2005
[BibTeX]
@techreport{utia2005-2134, author = "Kraus, D.", title = "Data-driven smooth tests of the proportional hazards assumption", institution = "Institute of Information Theory and Automation, Prague", year = 2005, type = "Research Report", number = 2134}