| Year |
Citation |
Score |
| 2019 |
Bedrick EJ. Data Reduction Prior to Inference: Are There Consequences of Comparing Groups Using a t-test Based on Principal Component Scores? Biometrics. PMID 31584187 DOI: 10.1111/Biom.13159 |
0.333 |
|
| 2018 |
Huang S, Hu C, Bell ML, Billheimer D, Guerra S, Roe D, Vasquez MM, Bedrick EJ. Regularized continuous-time Markov Model via elastic net. Biometrics. PMID 29534304 DOI: 10.1111/Biom.12868 |
0.344 |
|
| 2018 |
Dodd AB, Ling JM, Bedrick EJ, Meier TB, Mayer AR. Spatial distribution bias in subject-specific abnormalities analyses. Brain Imaging and Behavior. PMID 29442270 DOI: 10.1007/S11682-018-9836-X |
0.31 |
|
| 2017 |
Mayer AR, Dodd AB, Ling JM, Wertz CJ, Shaff NA, Bedrick EJ, Viamonte C. An evaluation of Z-transform algorithms for identifying subject-specific abnormalities in neuroimaging data. Brain Imaging and Behavior. PMID 28321608 DOI: 10.1007/S11682-017-9702-2 |
0.301 |
|
| 2016 |
Bedrick EJ, Hund L. An approach for quantifying small effects in regression models. Statistical Methods in Medical Research. PMID 27302086 DOI: 10.1177/0962280216653152 |
0.385 |
|
| 2015 |
Guo Y, Kenney SR, Cook LS, Adams SF, Rutledge T, Romero E, Oprea T, Sklar LA, Bedrick E, Wiggins CL, Kang H, Lomo L, Muller CY, Wandinger-Ness A, Hudson LG. A novel pharmacologic activity of ketorolac for therapeutic benefit in ovarian cancer patients. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 26071482 DOI: 10.1158/1078-0432.Ccr-15-0461 |
0.49 |
|
| 2014 |
Xu L, Bedrick EJ, Hanson T, Restrepo C. A Comparison of Statistical Tools for Identifying Modality in Body Mass Distributions Journal of Data Science. 12: 175-196. DOI: 10.6339/Jds.2014.12(1).1201 |
0.33 |
|
| 2014 |
Erhardt EB, Bedrick EJ. Inference for stable isotope mixing models: A study of the diet of dunlin Journal of the Royal Statistical Society. Series C: Applied Statistics. 63: 579-593. DOI: 10.1111/Rssc.12047 |
0.64 |
|
| 2014 |
Bedrick EJ. Two useful reformulations of the hazard ratio American Statistician. 68: 36-41. DOI: 10.1080/00031305.2013.868827 |
0.301 |
|
| 2013 |
Harvey RC, Kang H, Roberts KG, Chen IL, Atlas SR, Bedrick EJ, Gastier-Foster JM, Zhang J, Gerhard DS, Smith MA, Larsen EC, Raetz EA, Winick NJ, Carroll WL, Stonerock E, et al. Development and Validation Of a Highly Sensitive and Specific Gene Expression Classifier To Prospectively Screen and Identify B-Precursor Acute Lymphoblastic Leukemia (ALL) Patients With a Philadelphia Chromosome-Like (“Ph-like” or “BCR-ABL1-Like”) Signature For Therapeutic Targeting and Clinical Intervention Blood. 122: 826-826. DOI: 10.1182/Blood.V122.21.826.826 |
0.547 |
|
| 2013 |
Erhardt EB, Bedrick EJ. A Bayesian framework for stable isotope mixing models Environmental and Ecological Statistics. 20: 377-397. DOI: 10.1007/S10651-012-0224-1 |
0.654 |
|
| 2012 |
Kang H, Wilson CS, Harvey RC, Chen IM, Murphy MH, Atlas SR, Bedrick EJ, Devidas M, Carroll AJ, Robinson BW, Stam RW, Valsecchi MG, Pieters R, Heerema NA, Hilden JM, et al. Gene expression profiles predictive of outcome and age in infant acute lymphoblastic leukemia: a Children's Oncology Group study. Blood. 119: 1872-81. PMID 22210879 DOI: 10.1182/Blood-2011-10-382861 |
0.529 |
|
| 2011 |
Erhardt EB, Rachakonda S, Bedrick EJ, Allen EA, Adali T, Calhoun VD. Comparison of multi-subject ICA methods for analysis of fMRI data. Human Brain Mapping. 32: 2075-95. PMID 21162045 DOI: 10.1002/Hbm.21170 |
0.627 |
|
| 2010 |
Harvey RC, Mullighan CG, Wang X, Dobbin KK, Davidson GS, Bedrick EJ, Chen IM, Atlas SR, Kang H, Ar K, Wilson CS, Wharton W, Murphy M, Devidas M, Carroll AJ, et al. Identification of novel cluster groups in pediatric high-risk B-precursor acute lymphoblastic leukemia with gene expression profiling: correlation with genome-wide DNA copy number alterations, clinical characteristics, and outcome. Blood. 116: 4874-84. PMID 20699438 DOI: 10.1182/Blood-2009-08-239681 |
0.527 |
|
| 2010 |
Kang H, Chen IM, Wilson CS, Bedrick EJ, Harvey RC, Atlas SR, Devidas M, Mullighan CG, Wang X, Murphy M, Ar K, Wharton W, Borowitz MJ, Bowman WP, Bhojwani D, et al. Gene expression classifiers for relapse-free survival and minimal residual disease improve risk classification and outcome prediction in pediatric B-precursor acute lymphoblastic leukemia. Blood. 115: 1394-405. PMID 19880498 DOI: 10.1182/blood-2009-05-218560 |
0.483 |
|
| 2010 |
Kang H, Wilson CS, Harvey RC, Chen I, Murphy MH, Atlas SR, Bedrick EJ, Devidas M, Carroll AJ, Robinson BW, Heerema NA, Hilden JM, Dreyer ZE, Camitta B, Winick N, et al. Gene Expression Profiling Reveals Genes Predictive of Outcome In Infant Acute Lymphoblastic Leukemia (ALL) and Distinctive Age-Related Gene Expression Profiles (< 90 Days vs. > 90 Days): A Children's Oncology Group Study Blood. 116: 412-412. DOI: 10.1182/Blood.V116.21.412.412 |
0.538 |
|
| 2010 |
Bedrick EJ, Crandall WK. Model selection criteria for loglinear models Australian and New Zealand Journal of Statistics. 52: 439-449. DOI: 10.1111/j.1467-842X.2010.00593.x |
0.643 |
|
| 2010 |
Xu L, Hanson T, Bedrick EJ, Restrepo C. Hypothesis tests on mixture model components with applications in ecology and agriculture Journal of Agricultural, Biological, and Environmental Statistics. 15: 308-326. DOI: 10.1007/S13253-010-0020-Z |
0.363 |
|
| 2009 |
McMillan GP, Bedrick E, C'deBaca J. A Bayesian model for estimating the effects of drug use when drug use may be under-reported. Addiction (Abingdon, England). 104: 1820-6. PMID 19663899 DOI: 10.1111/J.1360-0443.2009.02644.X |
0.33 |
|
| 2007 |
Martin SB, Mosquera-Caro MP, Potter JW, Davidson GS, Andries E, Kang H, Helman P, Veroff RL, Atlas SR, Murphy M, Wang X, Ar K, Xu Y, Chen IM, Schultz FA, ... ... Bedrick E, et al. Gene expression overlap affects karyotype prediction in pediatric acute lymphoblastic leukemia. Leukemia. 21: 1341-4. PMID 17410195 DOI: 10.1038/Sj.Leu.2404640 |
0.503 |
|
| 2007 |
Malloy EJ, Bedrick EJ, Goldsmith T. Diagnostics for the scale of functional predictors in generalized linear models Technometrics. 49: 480-489. DOI: 10.1198/004017007000000362 |
0.701 |
|
| 2007 |
Harvey RC, Davidson GS, Wang X, Dobbin KK, Bedrick EJ, Wilson CS, Atlas SR, Kang H, Chen I, Hunger SP, Devidas M, Carroll WL, Bowman P, Camitta B, Reaman G, et al. Expression Profiling Identifies Novel Genetic Subgroups with Distinct Clinical Features and Outcome in High-Risk Pediatric Precursor B Acute Lymphoblastic Leukemia (B-ALL). A Children’s Oncology Group Study. Blood. 110: 1430-1430. DOI: 10.1182/Blood.V110.11.1430.1430 |
0.533 |
|
| 2007 |
Kang H, Bedrick EJ, Chen I, Wilson CS, Atlas SR, Harvey RC, Hunger SP, Devidas M, Borowitz MJ, Bowman P, Carroll WL, Camitta B, Reaman GH, Willman CL. Molecular Classifiers for Prediction of Minimal Residual Disease (MRD) and Event Free Survival (EFS) Improve Risk Assignment at Diagnosis in Pediatric High-Risk B Precursor Acute Lymphoblastic Leukemia (ALL): A Children’s Oncology Group Study. Blood. 110: 1422-1422. DOI: 10.1182/blood.v110.11.1422.1422 |
0.495 |
|
| 2005 |
Kapitula LR, Bedrick EJ. Diagnostics for the exponential normal growth curve model. Statistics in Medicine. 24: 95-108. PMID 15517601 DOI: 10.1002/Sim.1919 |
0.745 |
|
| 2005 |
Willman CL, Kang H, Potter JW, Harvey RC, Atlas SR, Bedrick E, Helman P, Veroff RL, Chen I, Carroll AJ, Ar K, Xu Y, Murphy SB, Bhojwani D, Moskowitz N, et al. A Gene Expression Classifier for Improved Risk Classification and Outcome Prediction in Pediatric Acute Lymphoblastic Leukemia (ALL). Blood. 106: 762-762. DOI: 10.1182/Blood.V106.11.762.762 |
0.541 |
|
| 2005 |
Bedrick EJ. Graphical modelling and the Mahalanobis distance Journal of Applied Statistics. 32: 959-967. DOI: 10.1080/02664760500163680 |
0.403 |
|
| 2004 |
Arbogast PG, Bedrick EJ. Model-checking techniques for linear models with parametric variance functions Technometrics. 46: 404-410. DOI: 10.1198/004017004000000473 |
0.391 |
|
| 2003 |
Hanson T, Bedrick EJ, Johnson WO, Thurmond MC. A mixture model for bovine abortion and foetal survival. Statistics in Medicine. 22: 1725-39. PMID 12720307 DOI: 10.1002/Sim.1376 |
0.398 |
|
| 2002 |
Bedrick EJ, Exuzides A, Johnson WO, Thurmond MC. Predictive influence in the accelerated failure time model. Biostatistics (Oxford, England). 3: 331-46. PMID 12933601 DOI: 10.1093/Biostatistics/3.3.331 |
0.358 |
|
| 2001 |
Watnik M, Johnson W, Bedrick EJ. Nonnested linear model selection revisited Communications in Statistics - Theory and Methods. 30: 1-20. DOI: 10.1081/Sta-100001555 |
0.359 |
|
| 2000 |
Bedrick EJ, Lapidus J, Powell JF. Estimating the Mahalanobis distance from mixed continuous and discrete data. Biometrics. 56: 394-401. PMID 10877295 DOI: 10.1111/J.0006-341X.2000.00394.X |
0.336 |
|
| 2000 |
Bedrick EJ, Christensen R, Johnson WO. Bayesian accelerated failure time analysis with application to veterinary epidemiology Statistics in Medicine. 19: 221-237. PMID 10641026 DOI: 10.1002/(Sici)1097-0258(20000130)19:2<221::Aid-Sim328>3.0.Co;2-C |
0.389 |
|
| 2000 |
Bedrick EJ. Checking for lack of fit in linear models with parametric variance functions Technometrics. 42: 227-236. DOI: 10.1080/00401706.2000.10486044 |
0.399 |
|
| 1999 |
Bedrick EJ, Hill JR. Properties and applications of the generalized likelihood as a summary function for prediction problems Scandinavian Journal of Statistics. 26: 593-609. DOI: 10.1111/1467-9469.00170 |
0.346 |
|
| 1997 |
Christensen R, Bedrick EJ. Testing the independence assumption in linear models Journal of the American Statistical Association. 92: 1006-1016. DOI: 10.1080/01621459.1997.10474056 |
0.344 |
|
| 1997 |
Bedrick EJ, Christensen R, Johnson W. Bayesian Binomial Regression: Predicting Survival at a Trauma Center American Statistician. 51: 211-218. DOI: 10.1080/00031305.1997.10473965 |
0.405 |
|
| 1997 |
Bedrick EJ. Approximating the conditional distribution of person fit indexes for checking the rasch model Psychometrika. 62: 191-199. DOI: 10.1007/Bf02295274 |
0.343 |
|
| 1996 |
Bedrick EJ, Hill JR. Assessing the fit of the logistic regression model to individual matched sets of case-control data. Biometrics. 52: 1-9. PMID 8934582 DOI: 10.2307/2533139 |
0.375 |
|
| 1996 |
Bedrick EJ, Christensen R, Johnson W. A New Perspective on Priors for Generalized Linear Models Journal of the American Statistical Association. 91: 1450-1460. DOI: 10.1080/01621459.1996.10476713 |
0.396 |
|
| 1996 |
Bedrick EJ, Breslin FC. Estimating the polyserial correlation coefficient Psychometrika. 61: 427-443. DOI: 10.1007/Bf02294548 |
0.326 |
|
| 1994 |
Bedrick EJ. Maximum-likelihood estimation for the removal method Canadian Journal of Statistics. 22: 285-293. DOI: 10.2307/3315590 |
0.325 |
|
| 1994 |
Bedrick EJ, Tsai CL. Model selection for multivariate regression in small samples Biometrics. 50: 226-231. DOI: 10.2307/2533213 |
0.39 |
|
| 1993 |
Bedrick EJ, Tsai CL. Diagnostics for binomial response models using power divergence statistics Computational Statistics and Data Analysis. 15: 381-392. DOI: 10.1016/0167-9473(93)90171-O |
0.348 |
|
| 1992 |
Bedrick EJ. A comparison of generalized and modified sample biserial correlation estimators Psychometrika. 57: 183-201. DOI: 10.1007/Bf02294504 |
0.319 |
|
| 1991 |
Bedrick EJ. Approximate confidence intervals for the correlation from data in two-by-two tables British Journal of Mathematical and Statistical Psychology. 44: 369-378. DOI: 10.1111/J.2044-8317.1991.Tb00968.X |
0.311 |
|
| 1990 |
Bedrick EJ, Hill JR. Outlier tests for logistic regression: A conditional approach Biometrika. 77: 815-827. DOI: 10.1093/Biomet/77.4.815 |
0.363 |
|
| 1990 |
Bedrick EJ. On the large sample distributions of modified sample biserial correlation coefficients Psychometrika. 55: 217-228. DOI: 10.1007/Bf02295284 |
0.31 |
|
| 1989 |
Bedrick EJ, Aragon J. Approximate confidence intervals for the parameters of a stationary binary markov chain Technometrics. 31: 437-448. DOI: 10.2307/1269994 |
0.306 |
|
| 1984 |
Bedrick EJ. Estimating the Variance of Empirical Logits and Contrasts in Empirical Log Probabilities Biometrics. 40: 805. DOI: 10.2307/2530925 |
0.337 |
|
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