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Items: 13

1.

Modeling Caries Experience: Advantages of the Use of the Hurdle Model.

Hofstetter H, Dusseldorp E, Zeileis A, Schuller AA.

Caries Res. 2016;50(6):517-526. doi: 10.1159/000448197. Epub 2016 Sep 17.

PMID:
27639918
2.

Remotely-sensed detection of effects of extreme droughts on gross primary production.

Vicca S, Balzarolo M, Filella I, Granier A, Herbst M, Knohl A, Longdoz B, Mund M, Nagy Z, Pintér K, Rambal S, Verbesselt J, Verger A, Zeileis A, Zhang C, Peñuelas J.

Sci Rep. 2016 Jun 15;6:28269. doi: 10.1038/srep28269.

3.

Model-Based Recursive Partitioning for Subgroup Analyses.

Seibold H, Zeileis A, Hothorn T.

Int J Biostat. 2016 May 1;12(1):45-63. doi: 10.1515/ijb-2015-0032.

PMID:
27227717
4.

Motivation, values, and work design as drivers of participation in the R open source project for statistical computing.

Mair P, Hofmann E, Gruber K, Hatzinger R, Zeileis A, Hornik K.

Proc Natl Acad Sci U S A. 2015 Dec 1;112(48):14788-92. doi: 10.1073/pnas.1506047112. Epub 2015 Nov 9.

5.

Upper reference limits for cerebrospinal fluid total protein and albumin quotient based on a large cohort of control patients: implications for increased clinical specificity.

Hegen H, Auer M, Zeileis A, Deisenhammer F.

Clin Chem Lab Med. 2016 Feb;54(2):285-92. doi: 10.1515/cclm-2015-0253.

PMID:
26079822
6.

Score-based tests of measurement invariance: use in practice.

Wang T, Merkle EC, Zeileis A.

Front Psychol. 2014 May 30;5:438. doi: 10.3389/fpsyg.2014.00438. eCollection 2014.

7.

Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model.

Strobl C, Kopf J, Zeileis A.

Psychometrika. 2015 Jun;80(2):289-316. doi: 10.1007/s11336-013-9388-3. Epub 2013 Dec 19.

PMID:
24352514
8.

Testing for measurement invariance with respect to an ordinal variable.

Merkle EC, Fan J, Zeileis A.

Psychometrika. 2014 Oct;79(4):569-84. doi: 10.1007/s11336-013-9376-7. Epub 2013 Nov 27.

PMID:
24282129
9.

Tests of measurement invariance without subgroups: a generalization of classical methods.

Merkle EC, Zeileis A.

Psychometrika. 2013 Jan;78(1):59-82. doi: 10.1007/s11336-012-9302-4. Epub 2012 Dec 13.

PMID:
25107518
10.

Conditional variable importance for random forests.

Strobl C, Boulesteix AL, Kneib T, Augustin T, Zeileis A.

BMC Bioinformatics. 2008 Jul 11;9:307. doi: 10.1186/1471-2105-9-307.

11.

Generalized maximally selected statistics.

Hothorn T, Zeileis A.

Biometrics. 2008 Dec;64(4):1263-9. doi: 10.1111/j.1541-0420.2008.00995.x. Epub 2008 Mar 5.

PMID:
18325074
12.

Bias in random forest variable importance measures: illustrations, sources and a solution.

Strobl C, Boulesteix AL, Zeileis A, Hothorn T.

BMC Bioinformatics. 2007 Jan 25;8:25.

13.

The impact of interventions on a pre-industrial Austrian Alpine population.

Veichtlbauer O, Zeileis A, Leisch F.

Coll Antropol. 2006 Mar;30(1):1-11.

PMID:
16617569

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