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Virtual Special Issue: Biostatistics & Statistical Bioinformatics
Virtual Special Issue: Biostatistics & Statistical Bioinformatics

  
Editorial

Somnath Datta, Co-Editor-in-Chief of Statistics & Probability Letters

Somnath Datta, University of Louisville
Co-Editor-in-Chief of Statistics & Probability Letters

The importance of biostatistics is being felt more right now than ever before due to its widespread biomedical applications ranging from medical image processing to biomarker detection and drug discovery. Many people believe that we have entered the age of biology as evident from the publication trends of the leading scientific journals.

Biostatistics is also well positioned to lend itself to collaborative disciplines such as bioinformatics. Novel statistical methods are being developed to deal with huge amounts of data generated from various high-throughput omics experiments.

Elsevier statistics journals have been fairly consistent in promoting publications in these areas. This virtual issue presents a collection of twenty papers published in four Elsevier journals in the last three years. These papers represent methodological advances in Clinical Trials, Does Response, Gene Expression Analysis, Medical Image Processing, Pattern Recognition, Proteomics, Statistical Genetics, and Survival Analysis.

We hope that the readers of this virtual issue will enjoy reading these papers and will look forward to future papers in biostatistics and statistical bioinformatics in these journals.  In particular, under the new editorship of H. Koul and me, Statistics & Probability Letters hopes to publish a greater number of letters style papers in biostatistics and statistical bioinformatics.

Please also visit Statistical Methodology's External linkspecial issue on Bioinformatics

  

The selected articles were taken from the following journals:

Statistics & Probability Letters Journal of Multivariate Analysis Journal of Statistical Planning and Inference Statistical Methodology
Statistics & Probability Letters Journal of Multivariate Analysis Journal of Statistical Planning and Inference Statistical Methodology

2008

1. External link  Clustering gene expression profile data by selective shrinkage
Hemant Ishwaran, J. Sunil Rao
Statistics and Probability Letters
2008, Articles in press

2. External link  An explicit representation of the limit of the LRT for interval mapping of quantitative trait loci
Hong Zhang, Hanfeng Chen, Zhaohai Li
Statistics and Probability Letters
Volume 78, Issue 3, 15 February 2008, Pages 207-213

3. External link  Functional approach of flexibly modelling generalized longitudinal data and survival time
Fang Yao
Journal of Statistical Planning and Inference
Volume 138, Issue 4, 1 April 2008, Pages 995-1009 

4. External link  Simultaneous control of false positives and false negatives in multiple hypotheses testing
Nader Ebrahimi
Journal of Multivariate analysis
Volume 99, Issue 3, March 2008, Pages 437-450


2007

5. External link  Testing treatment effect by combining weighted log-rank tests and using empirical likelihood
Song Yang, Yichuan Zhao
Statistics and Probability Letters
Volume 77, Issue 12, 1 July 2007, Pages 1385-1393

6. External link  Simultaneous testing of multiple hypotheses using generalized p-values
Kam-Wah Tsui, Shijie Tang
Statistics and Probability Letters
Volume 77, Issue 12, 1 July 2007, Pages 1362-1370

7. External link  An application of reinforced urn processes to determining maximum tolerated dose
Maura Mezzetti, Pietro Muliere, Paolo Bulla
Statistics & Probability Letters
Volume 77, Issue 7, 1 April 2007, Pages 740-747

8. External link  Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology
Alex Sánchez, Miquel Salicrú, Jordi Ocaña
Journal of Statistical Planning and Inference
Volume 137, Issue 12, 1 December 2007, Pages 3975-3989

9. External link  A reanalysis of a longitudinal scleroderma clinical trial using non-ignorable missingness models
W. John Boscardin, Xiaohong Yan, Weng Kee Wong
Journal of Statistical Planning and Inference
Volume 137, Issue 12, 1 December 2007, Pages 3848-3858

10. External link  Variable screening in predicting clinical outcome with high-dimensional microarrays
Jun Shao, Shein-Chung Chow
Journal of Multivariate Analysis
Volume 98, Issue 8, September 2007, Pages 1529-1538

11. External link  Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial–temporal pattern from positron emission tomography data
Lei Xu, Sati Mazumdar, Julie Price
Statistical Methodology
Volume 4, Issue 1, January 2007, Pages 44-63


2006

12. External link  An adaptive design for clinical trials with non-dichotomous response and prognostic factors
Jose A. Moler, Fernando Plo, Miguel San Miguel
Statistics & Probability Letters
Volume 76, Issue 17, 1 November 2006, Pages 1940-1946

13. External link  Some properties of misspecified additive hazards models
Satoshi Hattori
Statistics & Probability Letters
Volume 76, Issue 15, 1 September 2006, Pages 1641-1646

14. External link  Fitting logistic regression models with contaminated case–control data
K.F. Cheng, L.C. Chen
Journal of Statistical Planning and Inference
Volume 136, Issue 12, 1 December 2006, Pages 4147-4160

15. External link  Estimation in two sample randomly truncated scale model
Rajeshwari Sundaram
Journal of Statistical Planning and Inference
Volume 136, Issue 9, 1 September 2006, Pages 2983-3006

16. External link  On design and inference for two-stage adaptive clinical trials with dependent data
Qing Liu, Gordon Pledger
Journal of Statistical Planning and Inference
Volume 136, Issue 6, 1 June 2006, Pages 1962-1984

17. External link  On the efficiency of adaptive designs for flexible interim decisions in clinical trials
Werner Brannath, Peter Bauer, Martin Posch
Journal of Statistical Planning and Inference
Volume 136, Issue 6, 1 June 2006, Pages 1956-1961

18. External link  Reduced rank proportional hazards model for competing risks: An application to a breast cancer trial
M. Fiocco, H. Putter, C.J.H. van de Velde, J.C. van Houwelingen
Journal of Statistical Planning and Inference
Volume 136, Issue 5, 1 May 2006, Pages 1655-1668

19. External link  Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples
Susmita Datta, Lara M. DePadilla
Statistical Methodology
Volume 3, Issue 1, January 2006, Pages 79-92

20. External link  Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks
Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Satoru Miyano
Statistical Methodology
Volume 3, Issue 1, January 2006, Pages 1-16



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