Sin Ho Jung

Summary

Affiliation: Duke University Medical Center
Country: USA

Publications

  1. pmc SNP selection in genome-wide association studies via penalized support vector machine with MAX test
    Jinseog Kim
    Department of Statistics and Information Science, Dongguk University, Gyeongju 780 714, Republic of Korea
    Comput Math Methods Med 2013:340678. 2013
  2. pmc Phase II cancer clinical trials with heterogeneous patient populations
    Sin Ho Jung
    Cancer and Leukemia Group B Statistical Center and Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 22:312-28. 2012
  3. pmc Multiple testing for gene sets from microarray experiments
    Insuk Sohn
    Biostatistics and Bioinformatics Center, Samsung Cancer Research Institute, Samsung Medical Center, Seoul 137 710, Republic of Korea
    BMC Bioinformatics 12:209. 2011
  4. ncbi request reprint A note on sample size calculation based on propensity analysis in nonrandomized trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 17:35-41; discussion 43. 2007
  5. ncbi request reprint P-value calculation for multistage phase II cancer clinical trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 16:765-75; discussion 777-83. 2006
  6. pmc Between-arm comparisons in randomized Phase II trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    J Biopharm Stat 19:456-68. 2009
  7. pmc Sample size calculation for microarray experiments with blocked one-way design
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, North Carolina 27710, USA
    BMC Bioinformatics 10:164. 2009
  8. ncbi request reprint Sample size calculation for weighted rank tests comparing survival distributions under cluster randomization: a simulation method
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27705, USA
    J Biopharm Stat 17:839-49. 2007
  9. ncbi request reprint Randomized phase II trials with a prospective control
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    Stat Med 27:568-83. 2008
  10. pmc Robust test method for time-course microarray experiments
    Insuk Sohn
    Biostatistics and Bioinformatics Center, Samsung Cancer Research Institute, Samsung Medical Center, Seoul 137 710, Republic of Korea
    BMC Bioinformatics 11:391. 2010

Detail Information

Publications58

  1. pmc SNP selection in genome-wide association studies via penalized support vector machine with MAX test
    Jinseog Kim
    Department of Statistics and Information Science, Dongguk University, Gyeongju 780 714, Republic of Korea
    Comput Math Methods Med 2013:340678. 2013
    ..The results from simulations and real GWAS data analysis show that the proposed method performs better than the prediction methods ignoring the genetic models in terms of prediction power and selectivity. ..
  2. pmc Phase II cancer clinical trials with heterogeneous patient populations
    Sin Ho Jung
    Cancer and Leukemia Group B Statistical Center and Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 22:312-28. 2012
    ..In this paper, we investigate the performance of the flexible designs compared with the standard design with fixed rejection values under various settings...
  3. pmc Multiple testing for gene sets from microarray experiments
    Insuk Sohn
    Biostatistics and Bioinformatics Center, Samsung Cancer Research Institute, Samsung Medical Center, Seoul 137 710, Republic of Korea
    BMC Bioinformatics 12:209. 2011
    ..It is often of additional interest to identify sets of genes, known a priori to have similar biologic function, associated with the outcome...
  4. ncbi request reprint A note on sample size calculation based on propensity analysis in nonrandomized trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 17:35-41; discussion 43. 2007
    ..It was shown that the sample size formula derived by Nam (1998) based on the test statistic proposed by Gart (1985) is a special case of the sample size formula derived in this note...
  5. ncbi request reprint P-value calculation for multistage phase II cancer clinical trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 16:765-75; discussion 777-83. 2006
    ..We will compare, using some examples, the p-values based on these alternative orderings and the one ignoring the multistage design aspect of phase II trials...
  6. pmc Between-arm comparisons in randomized Phase II trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    J Biopharm Stat 19:456-68. 2009
    ..In this paper, we propose between-arm comparison methods for selection in randomized Phase II trials addressing these issues...
  7. pmc Sample size calculation for microarray experiments with blocked one-way design
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, North Carolina 27710, USA
    BMC Bioinformatics 10:164. 2009
    ..Many statistical methods have been proposed to assess the treatment effects in microarray experiments...
  8. ncbi request reprint Sample size calculation for weighted rank tests comparing survival distributions under cluster randomization: a simulation method
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27705, USA
    J Biopharm Stat 17:839-49. 2007
    ....
  9. ncbi request reprint Randomized phase II trials with a prospective control
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    Stat Med 27:568-83. 2008
    ..The methods for two-arm trials are easily extended to multi-arm trials with one control and K (> or =2) experimental arms. Some phase II trials are taken as real examples...
  10. pmc Robust test method for time-course microarray experiments
    Insuk Sohn
    Biostatistics and Bioinformatics Center, Samsung Cancer Research Institute, Samsung Medical Center, Seoul 137 710, Republic of Korea
    BMC Bioinformatics 11:391. 2010
    ..The sensitivity of these regression methods to outliers, an issue that is well documented in the statistical literature, should be of concern when analyzing microarray data...
  11. pmc Statistical challenges in preprocessing in microarray experiments in cancer
    Kouros Owzar
    Department of Biostatistics and Bioinformatics, and Cancer and Leukemia Group B Statistical Center, Duke University School of Medicine, 2424 Erwin Road, Durham, NC 27705, USA
    Clin Cancer Res 14:5959-66. 2008
    ..These challenges should not be viewed as inconsequential nuisances but rather as important issues that need to be addressed so that informed conclusions can be drawn...
  12. ncbi request reprint A multiple testing procedure to associate gene expression levels with survival
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC 27705, USA
    Stat Med 24:3077-88. 2005
    ..Comprehensive simulation studies are conducted to investigate the statistical properties of the proposed procedure. The proposed method is applied to a recently published data set on patients with lung cancer...
  13. ncbi request reprint Sample size for FDR-control in microarray data analysis
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, CALGB Statistical Center Hock Plaza, Suite 802, 2424 Erwin Road Duke University Durham, NC 27705, USA
    Bioinformatics 21:3097-104. 2005
    ..Otherwise, our method requires a numerical method to solve an equation. Simulation studies are conducted to show that the calculated sample sizes are accurate in practical settings. The proposed method is demonstrated with a real study...
  14. doi request reprint Statistical considerations for analysis of microarray experiments
    Kouros Owzar
    Department of Biostatistics and Bioinformatics, Duke University CALGB Statistical Center, Duke University, Durham, North Carolina, USA
    Clin Transl Sci 4:466-77. 2011
    ..An emphasis will be placed on how the lack of understanding and improper use of statistical concepts and methods will lead to noise discovery and misinterpretation of experimental results...
  15. pmc A permutation-based multiple testing method for time-course microarray experiments
    Insuk Sohn
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina 27710, USA
    BMC Bioinformatics 10:336. 2009
    ..For this purpose, permutation methods have been widely used because of computational ease and their intuitive interpretation...
  16. ncbi request reprint Designing phase II studies in cancer with time-to-event endpoints
    Kouros Owzar
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC 27705, USA
    Clin Trials 5:209-21. 2008
    ..For the purpose of sample size or power calculations, software implementing parametric and nonparametric median tests, is freely available. The main assumptions are those of Exponential survival and a Uniform right-censoring mechanism...
  17. pmc Sample size considerations of prediction-validation methods in high-dimensional data for survival outcomes
    Herbert Pang
    Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
    Genet Epidemiol 37:276-82. 2013
    ..Microarray and genome-wide association studies data are used as illustrations. The power calculation method in this presentation can be used for the design of any biomedical studies involving high-dimensional data and survival outcomes...
  18. pmc Power and sample size calculations for SNP association studies with censored time-to-event outcomes
    Kouros Owzar
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA
    Genet Epidemiol 36:538-48. 2012
    ..Practical advice along with an open-source software package to design SNP association studies with survival outcomes are provided...
  19. ncbi request reprint A copula approach for detecting prognostic genes associated with survival outcome in microarray studies
    Kouros Owzar
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina 27705, USA
    Biometrics 63:1089-98. 2007
    ..The performance of the proposed method is studied through simulation and illustrated with an application using a case study in lung cancer...
  20. ncbi request reprint Admissible two-stage designs for phase II cancer clinical trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    Stat Med 23:561-9. 2004
    ..We also present a Java program to search for admissible designs that are compromises between the minimax and the optimal designs...
  21. ncbi request reprint Sample size estimation for GEE method for comparing slopes in repeated measurements data
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University Medical Center, Box 3627, Durham, NC 27710, USA
    Stat Med 22:1305-15. 2003
    ..Since the sample size formula is based on asymptotic theory, we investigate the performance of the estimated sample size in practical settings through simulations...
  22. doi request reprint Sorafenib, a multikinase inhibitor, enhances the response of melanoma to regional chemotherapy
    Christina K Augustine
    Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
    Mol Cancer Ther 9:2090-101. 2010
    ..These results show that sorafenib in combination with chemotherapy provides a novel approach to enhance chemotherapeutic efficacy in the regional treatment of in-transit melanoma...
  23. pmc Prediction of a time-to-event trait using genome wide SNP data
    Jinseog Kim
    Department of Statistics and Information Science, Dongguk University, Gyeongju 780 714, Korea
    BMC Bioinformatics 14:58. 2013
    ..A popular objective of many high-throughput genome projects is to discover various genomic markers associated with traits and develop statistical models to predict traits of future patients based on marker values...
  24. ncbi request reprint Sample size computation for two-sample noninferiority log-rank test
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 15:969-79. 2005
    ..Performance of our sample size formula is investigated through simulations. Our formula is applied to design a real clinical trial...
  25. ncbi request reprint On the estimation of the binomial probability in multistage clinical trials
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA
    Stat Med 23:881-96. 2004
    ..We will illustrate features of the UMVUE based on two-stage phase II clinical trial design examples and present results of numerical studies on the properties of the UMVUE in comparison to the usual MLE...
  26. ncbi request reprint How accurately can we control the FDR in analyzing microarray data?
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, NC 27710, USA
    Bioinformatics 22:1730-6. 2006
    ..We illustrate the proposed method with real microarray datasets, one where the clinical endpoint is disease group and another where it is survival...
  27. doi request reprint Sample size for comparing correlated concordance rates
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 18:359-69. 2008
    ..The proposed test statistic and the sample size formula can be easily modified for other indices for agreement such as sensitivity and specificity. A real eye study is taken as an example...
  28. ncbi request reprint Rank tests for clustered survival data
    Sin Ho Jung
    Duke University, Department of Biostatistics and Bioinformatics, Box 3627, Durham, NC 27710, USA
    Lifetime Data Anal 9:21-33. 2003
    ..In this paper we propose a method of calculating the standard error of the rank tests for two-sample clustered survival data. The method is naturally extended to that for K-sample tests under dependence...
  29. pmc On sample size calculation for comparing survival curves under general hypothesis testing
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    J Biopharm Stat 22:485-95. 2012
    ..The proposed methods are illustrated with designing real clinical trials. Through simulations, the modified log-rank test and the derived formula for sample size calculation are shown to have satisfactory small sample performance...
  30. ncbi request reprint Sample size calculation for the weighted rank statistics with paired survival data
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
    Stat Med 27:3350-65. 2008
    ..Through simulations, the formula is shown to provide accurate sample sizes under practical settings. Real studies are taken to demonstrate the proposed method...
  31. ncbi request reprint Sample size for a two-group comparison of repeated binary measurements using GEE
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27705, USA
    Stat Med 24:2583-96. 2005
    ..We also propose an algorithm to generate correlated binary data with arbitrary marginal means and a Markov dependency and use it in simulation studies...
  32. ncbi request reprint Sample size calculation for multiple testing in microarray data analysis
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Box 2716, Durham, NC 27705, USA
    Biostatistics 6:157-69. 2005
    ..Through simulations and data analyses, we find that the proposed methods for testing and sample size calculation are computationally fast and control error and power precisely...
  33. ncbi request reprint Sample size calculation for rank tests comparing K survival distributions
    Sin Ho Jung
    Duke University, Department of Biostatistics and Bioinformatics, ACOSOG, DUMC Box 3627, Durham, NC 27710, USA
    Lifetime Data Anal 8:361-73. 2002
    ..In this paper we propose an asymptotically correct method and an approximate method for sample size calculation. The proposed methods are compared to other methods through simulation studies...
  34. pmc permGPU: Using graphics processing units in RNA microarray association studies
    Ivo D Shterev
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27705, USA
    BMC Bioinformatics 11:329. 2010
    ..Given that these analyses are computationally intensive, scalable approaches that can take advantage of multi-core processor systems need to be developed...
  35. ncbi request reprint Accuracy of ROPtool vs individual examiners in assessing retinal vascular tortuosity
    David K Wallace
    Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina USA
    Arch Ophthalmol 125:1523-30. 2007
    ..To prospectively determine if tortuosity assessment by a computer program (ROPtool) that traces retinal blood vessels and measures their tortuosity was more accurate than that of individual pediatric ophthalmologists...
  36. ncbi request reprint Gradient lasso for Cox proportional hazards model
    Insuk Sohn
    Department of Biostatistics and Bioinformatics, Duke University, NC 27705, USA
    Bioinformatics 25:1775-81. 2009
    ..Hence, our gradient lasso algorithm can be a useful tool in developing a prediction model based on high-dimensional covariates including gene expression data...
  37. doi request reprint Thrombospondin-1 and thrombospondin-2 mRNA and TSP-1 and TSP-2 protein expression in uterine fibroids and correlation to the genes COL1A1 and COL3A1 and to the collagen cross-link hydroxyproline
    Millie A Behera
    Duke University, Department of Obstetrics and Gynecology, Durham, North Carolina, USA
    Reprod Sci 14:63-76. 2007
    ..However, TSP-2 was inconsistently expressed. These findings lead to the conclusion that the underexpression of TSP-1 may contribute to the overall development of uterine fibroids...
  38. pmc Alveolar macrophages from overweight/obese subjects with asthma demonstrate a proinflammatory phenotype
    Njira L Lugogo
    Duke University Medical Center, P O Box 2629, Durham, NC 27710, USA
    Am J Respir Crit Care Med 186:404-11. 2012
    ..Adipose tissue macrophages can contribute to the systemic proinflammatory state associated with obesity. However, it remains unknown whether alveolar macrophages have a unique phenotype in overweight/obese patients with asthma...
  39. ncbi request reprint Sample size and power calculation for molecular biology studies
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
    Methods Mol Biol 620:203-18. 2010
    ..We limit our discussion to the two-sample case...
  40. doi request reprint Gene expression signatures as a guide to treatment strategies for in-transit metastatic melanoma
    Christina K Augustine
    Medical Center Duke University Medical Center, Durham, NC 27710, USA
    Mol Cancer Ther 9:779-90. 2010
    ..Mol Cancer Ther; 9(4); 779-90. (c)2010 AACR...
  41. pmc Regression on quantile residual life
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA
    Biometrics 65:1203-12. 2009
    ..The new regression method is applied to a breast cancer data set with long-term follow-up to estimate the patients' median residual lifetimes, adjusting for important prognostic factors...
  42. ncbi request reprint Chi-square test for R x C contingency tables with clustered data
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
    J Biopharm Stat 13:241-51. 2003
    ..Simulation studies are conducted to show the finite-sample performance of the new methods. The proposed methods are applied to real-life data...
  43. pmc Power and sample size calculation for microarray studies
    Sin Ho Jung
    Department of Biostatistics and Bioinformatics, Duke University, Durham, NC 27710, USA
    J Biopharm Stat 22:30-42. 2012
    ..The calculated sample sizes are shown to accurately maintain the power through simulations. A real data example is taken to illustrate the proposed method...
  44. doi request reprint A retrospective analysis of facial fracture etiologies
    Detlev Erdmann
    Department of Surgery, Duke University Medical Center, Durham, NC 27710, USA
    Ann Plast Surg 60:398-403. 2008
    ..MVC and GSW each were found to lead to significantly higher severity of injury than assault, fall, and sports. The results confirm intuitive aspects of the etiology of facial fractures that have been anecdotally supported in the past...
  45. ncbi request reprint Sample size calculation for simulation-based multiple-testing procedures
    Heejung Bang
    Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York 10021, USA
    J Biopharm Stat 15:957-67. 2005
    ..We illustrate our method with a quality-of-life study for patients with early stage prostate cancer. Our method can also be used for comparing multiple independent groups...
  46. ncbi request reprint A parametric model for long-term follow-up data from phase III breast cancer clinical trials
    Jong Hyeon Jeong
    Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Stat Med 22:339-52. 2003
    ..A simple parametric test statistic to test proportional odds assumption is also constructed. The model is applied to a data set from a phase III clinical trial on breast cancer...
  47. ncbi request reprint Rank tests for clustered survival data when dependent subunits are randomized
    Jong Hyeon Jeong
    Department of Biostatistics, University of Pittsburgh, PA 15261, USA
    Stat Med 25:361-73. 2006
    ....
  48. ncbi request reprint Bayesian analysis of paired survival data using a bivariate exponential distribution
    Jaeyong Lee
    Department of Statistics, Seoul National University, Sillimdong Kwanakgu, Seoul 151 742, Korea
    Lifetime Data Anal 13:119-37. 2007
    ..In this paper, we introduce a latent variable to circumvent the difficulty in the Bayesian computation. We also consider a model checking procedure using the predictive Bayesian P-value...
  49. ncbi request reprint Nonparametric inference on median residual life function
    Jong Hyeon Jeong
    Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Biometrics 64:157-63. 2008
    ....
  50. ncbi request reprint Application of an adjusted chi2 statistic to site-specific data in observational dental studies
    Chul Ahn
    Clinical Epidemiology, University of Texas Medical School, Houston, Texas 77030, USA
    J Clin Periodontol 29:79-82. 2002
    ..However, the required assumptions for this statistic have not yet been thoroughly addressed. These assumptions are guaranteed to hold in experimental comparisons, but may be violated in some observational studies...
  51. ncbi request reprint Patterns of initial recurrence and prognosis after sentinel lymph node biopsy and selective lymphadenectomy for melanoma
    Jeffrey D Wagner
    Department of Surgery Plastic and Reconstructive Surgery, Indiana University School of Medicine, Indiana University Purdue University at Indianapolis, 46202, USA
    Plast Reconstr Surg 112:486-97. 2003
    ..Although sentinel node-negative patients are a prognostically favorable group, various combinations of local and regional recurrences comprise the most common pattern of initial relapse after a negative sentinel lymph node biopsy result...
  52. ncbi request reprint Fluoxetine versus placebo in advanced cancer outpatients: a double-blinded trial of the Hoosier Oncology Group
    Michael J Fisch
    Department of Palliative Care and Rehabilitation, University of Texas M D Anderson Cancer Center, Box 008, Room P12 2911, 1515 Holcombe Blvd, Houston, TX 77030 4009, USA
    J Clin Oncol 21:1937-43. 2003
    ..To determine whether fluoxetine improves overall quality of life (QOL) in advanced cancer patients with symptoms of depression revealed by a simple survey...
  53. ncbi request reprint Results of the American College of Surgeons Oncology Group Z0050 trial: the utility of positron emission tomography in staging potentially operable non-small cell lung cancer
    Carolyn E Reed
    Hollings Cancer Center, Division of Cardiothoracic Surgery, Medical University of South Carolina, Charleston 29425, USA
    J Thorac Cardiovasc Surg 126:1943-51. 2003
    ....
  54. ncbi request reprint Update on late relapse of germ cell tumor: a clinical and molecular analysis
    David W George
    Department of Medicine, and Section of Hematology Oncology, Herman B Wells Center for Pediatric Research, Indiana University Medical Center, Indianapolis, IN, USA
    J Clin Oncol 21:113-22. 2003
    ..Analysis of patients with late relapse (LR) of germ cell tumor (GCT) with reports on clinical characteristics, outcomes, and molecular and cytogenetic features...
  55. ncbi request reprint A phase I trial of olanzapine (Zyprexa) for the prevention of delayed emesis in cancer patients: a Hoosier Oncology Group study
    Steven D Passik
    Hoosier Oncology Group, Walther Cancer Institute, Indianapolis, Indiana, USA
    Cancer Invest 22:383-8. 2004
    ..Therefore, olanzapine may be an effective agent for the prevention of chemotherapy-induced DE. A phase II trial is underway...
  56. ncbi request reprint Assessment of quality of life in outpatients with advanced cancer: the accuracy of clinician estimations and the relevance of spiritual well-being--a Hoosier Oncology Group Study
    Michael J Fisch
    The University of Texas M D Anderson Cancer Center, Unit 008, Rm P12 2911, 1515 Holcombe Blvd, Houston, TX 77030 4009, USA
    J Clin Oncol 21:2754-9. 2003
    ..To evaluate the association between quality-of-life (QOL) impairment as reported by patients and QOL impairment as judged by nurses or physicians, with and without consideration of spiritual well-being (SWB)...
  57. ncbi request reprint Effect of dropouts on sample size estimates for test on trends across repeated measurements
    Chul Ahn
    Department of Internal Medicine, University of Texas Medical School, Houston, Texas 77030, USA
    J Biopharm Stat 15:33-41. 2005
    ..Stat. Med. 22: 1305-1315] with that suggested by Patel and Rowe [Patel, H., Rowe, E. (1999). Sample size for comparing linear growth curves. J. Biopharm. Stat. 9:339-350] through a simulation study...
  58. doi request reprint High expression of nucleoside transporter protein hENT1 in Reed-Sternberg cells is associated with treatment failure in relapsed/refractory Hodgkin lymphoma patients treated with gemcitabine, vinorelbine and liposomal doxorubicin - a CALGB 59804 correlati
    Raymond Lai
    Leuk Lymphoma 49:1202-5. 2008