| Year |
Citation |
Score |
| 2020 |
Ning Z, Pawitan Y, Shen X. High-definition likelihood inference of genetic correlations across human complex traits. Nature Genetics. PMID 32601477 DOI: 10.1038/S41588-020-0653-Y |
0.315 |
|
| 2019 |
Mou T, Deng W, Gu F, Pawitan Y, Vu TN. Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing. Frontiers in Genetics. 10: 1331. PMID 32010190 DOI: 10.3389/Fgene.2019.01331 |
0.326 |
|
| 2019 |
Deng W, Mou T, Niu N, Wang L, Pawitan Y, Vu TN. Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data. Bioinformatics (Oxford, England). PMID 31400221 DOI: 10.1093/Bioinformatics/Btz640 |
0.326 |
|
| 2019 |
Dahlqwist E, Pawitan Y, Sjölander A. Regression standardization and attributable fraction estimation with between-within frailty models for clustered survival data. Statistical Methods in Medical Research. 28: 462-485. PMID 28901198 DOI: 10.1177/0962280217727558 |
0.316 |
|
| 2018 |
Vu TN, Deng W, Trac QT, Calza S, Hwang W, Pawitan Y. A fast detection of fusion genes from paired-end RNA-seq data. Bmc Genomics. 19: 786. PMID 30382840 DOI: 10.1186/S12864-018-5156-1 |
0.315 |
|
| 2018 |
Lee W, Sjölander A, Larsson A, Pawitan Y. Likelihood-based inference for bounds of causal parameters. Statistics in Medicine. PMID 30155912 DOI: 10.1002/Sim.7949 |
0.304 |
|
| 2018 |
Wang M, Uebbing S, Pawitan Y, Scofield DG. RPASE: individual based allele-specific expression detection without prior knowledge of haplotype phase. Molecular Ecology Resources. PMID 29858523 DOI: 10.1111/1755-0998.12909 |
0.309 |
|
| 2018 |
Lee S, Lee Y, Pawitan Y. Sparse pathway-based prediction models for high-throughput molecular data Computational Statistics & Data Analysis. 126: 125-135. DOI: 10.1016/J.Csda.2018.04.012 |
0.316 |
|
| 2017 |
Ning Z, Lee Y, Joshi PK, Wilson JF, Pawitan Y, Shen X. A Selection Operator for Summary Association Statistics Reveals Allelic Heterogeneity of Complex Traits. American Journal of Human Genetics. 101: 903-912. PMID 29198721 DOI: 10.1016/J.Ajhg.2017.09.027 |
0.318 |
|
| 2017 |
Liu XR, Pawitan Y, Clements MS. Generalized survival models for correlated time-to-event data. Statistics in Medicine. PMID 28905409 DOI: 10.1002/Sim.7451 |
0.329 |
|
| 2017 |
Pettersson A, Gerke T, Fall K, Pawitan Y, Holmberg L, Giovannucci EL, Kantoff PW, Adami HO, Rider JR, Mucci LA. The ABC model of prostate cancer: A conceptual framework for the design and interpretation of prognostic studies. Cancer. PMID 28152172 DOI: 10.1002/Cncr.30582 |
0.313 |
|
| 2017 |
Lee S, Pawitan Y, Ingelsson E, Lee Y. Sparse estimation of gene-gene interactions in prediction models. Statistical Methods in Medical Research. 26: 2319-2332. PMID 26265764 DOI: 10.1177/0962280215597261 |
0.312 |
|
| 2016 |
Vu TN, Pramana S, Calza S, Suo C, Lee D, Pawitan Y. Comprehensive landscape of subtype-specific coding and non-coding RNA transcripts in breast cancer. Oncotarget. PMID 27634900 DOI: 10.18632/Oncotarget.11998 |
0.302 |
|
| 2016 |
Lee D, Ganna A, Pawitan Y, Lee W. Nonparametric estimation of the rediscovery rate. Statistics in Medicine. PMID 26910365 DOI: 10.1002/Sim.6915 |
0.327 |
|
| 2016 |
Peng Z, Andersson K, Lindholm J, Dethlefsen O, Pramana S, Pawitan Y, Nistér M, Nilsson S, Li C. Improving the Prediction of Prostate Cancer Overall Survival by Supplementing Readily Available Clinical Data with Gene Expression Levels of IGFBP3 and F3 in Formalin-Fixed Paraffin Embedded Core Needle Biopsy Material. Plos One. 11: e0145545. PMID 26731648 DOI: 10.1371/Journal.Pone.0145545 |
0.327 |
|
| 2016 |
Li C, Peng Z, Andersson K, Lindholm J, Dethlefsen O, Pawitan Y, Nistér M, Nilsson S. Validation of a 3-gene signature and development of an authentic cohort database to improve overall survival prediction and clinical treatment decision for patients with newly diagnosed prostate cancer. Journal of Clinical Oncology. 34: 5047-5047. DOI: 10.1200/Jco.2016.34.15_Suppl.5047 |
0.304 |
|
| 2016 |
Ganna A, Fall T, Salihovic S, Lee W, Broeckling CD, Kumar J, Hägg S, Stenemo M, Magnusson PKE, Prenni JE, Lind L, Pawitan Y, Ingelsson E. Large-scale non-targeted metabolomic profiling in three human population-based studies Metabolomics. 12: 1-13. DOI: 10.1007/S11306-015-0893-5 |
0.312 |
|
| 2015 |
Hägg S, Ganna A, van der Laan SW, Esko T, Pers TH, Locke AE, Berndt SI, Justice AE, Kahali B, Siemelink MA, Pasterkamp G, Strachan DP, Speliotes EK, North KE, ... ... Pawitan Y, et al. Gene-Based Meta-Analysis of Genome-Wide Association Studies Implicates New Loci Involved in Obesity. Human Molecular Genetics. PMID 26376864 DOI: 10.1093/Hmg/Ddv379 |
0.336 |
|
| 2015 |
Suo C, Hrydziuszko O, Lee D, Pramana S, Saputra D, Joshi H, Calza S, Pawitan Y. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival. Bioinformatics (Oxford, England). PMID 25810432 DOI: 10.1093/Bioinformatics/Btv164 |
0.336 |
|
| 2015 |
Lee W, Alexeyenko A, Pernemalm M, Guegan J, Dessen P, Lazar V, Lehtiö J, Pawitan Y. Identifying and assessing interesting subgroups in a heterogeneous population Biomed Research International. 2015. DOI: 10.1155/2015/462549 |
0.324 |
|
| 2015 |
Gusnanto A, Pawitan Y. Sparse alternatives to ridge regression: a random effects approach Journal of Applied Statistics. 42: 12-26. DOI: 10.1080/02664763.2014.929640 |
0.309 |
|
| 2014 |
Peng Z, Andersson K, Lindholm J, Bodin I, Pramana S, Pawitan Y, Nistér M, Nilsson S, Li C. Operator dependent choice of prostate cancer biopsy has limited impact on a gene signature analysis for the highly expressed genes IGFBP3 and F3 in prostate cancer epithelial cells. Plos One. 9: e109610. PMID 25296164 DOI: 10.1371/Journal.Pone.0109610 |
0.321 |
|
| 2014 |
Ganna A, Lee D, Ingelsson E, Pawitan Y. Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies. Briefings in Bioinformatics. PMID 25256289 DOI: 10.1093/Bib/Bbu033 |
0.315 |
|
| 2014 |
Suo C, Calza S, Salim A, Pawitan Y. Joint estimation of isoform expression and isoform-specific read distribution using multisample RNA-Seq data. Bioinformatics (Oxford, England). 30: 506-13. PMID 24307704 DOI: 10.1093/Bioinformatics/Btt704 |
0.35 |
|
| 2013 |
Lee D, Lee Y, Pawitan Y, Lee W. Sparse partial least-squares regression for high-throughput survival data analysis. Statistics in Medicine. 32: 5340-52. PMID 24105836 DOI: 10.1002/Sim.5975 |
0.345 |
|
| 2013 |
Gusnanto A, Ploner A, Shuweihdi F, Pawitan Y. Partial least squares and logistic regression random-effects estimates for gene selection in supervised classification of gene expression data. Journal of Biomedical Informatics. 46: 697-709. PMID 23747842 DOI: 10.1016/J.Jbi.2013.05.008 |
0.322 |
|
| 2013 |
Hong MG, Karlsson R, Magnusson PK, Lewis MR, Isaacs W, Zheng LS, Xu J, Grönberg H, Ingelsson E, Pawitan Y, Broeckling C, Prenni JE, Wiklund F, Prince JA. A genome-wide assessment of variability in human serum metabolism. Human Mutation. 34: 515-24. PMID 23281178 DOI: 10.1002/Humu.22267 |
0.341 |
|
| 2012 |
Eschrich SA, Fulp WJ, Pawitan Y, Foekens JA, Smid M, Martens JW, Echevarria M, Kamath V, Lee JH, Harris EE, Bergh J, Torres-Roca JF. Validation of a radiosensitivity molecular signature in breast cancer. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. 18: 5134-43. PMID 22832933 DOI: 10.1158/1078-0432.Ccr-12-0891 |
0.301 |
|
| 2012 |
Ku CS, Cooper DN, Wu M, Roukos DH, Pawitan Y, Soong R, Iacopetta B. Gene discovery in familial cancer syndromes by exome sequencing: prospects for the elucidation of familial colorectal cancer type X. Modern Pathology : An Official Journal of the United States and Canadian Academy of Pathology, Inc. 25: 1055-68. PMID 22522846 DOI: 10.1038/Modpathol.2012.62 |
0.319 |
|
| 2012 |
Lee W, Gusnanto A, Salim A, Magnusson P, Sim X, Tai ES, Pawitan Y. Estimating the number of true discoveries in genome-wide association studies. Statistics in Medicine. 31: 1177-89. PMID 21987428 DOI: 10.1002/Sim.4391 |
0.341 |
|
| 2012 |
Sjölander A, Johansson ALV, Lundholm C, Altman D, Almqvist C, Pawitan Y. Analysis of 1:1 matched cohort studies and twin studies, with binary exposures and binary outcomes Statistical Science. 27: 395-411. DOI: 10.1214/12-Sts390 |
0.302 |
|
| 2012 |
Li C, Peng Z, Skoog L, Hellborg H, Jonstam G, Wingmo I, Hjelm-Eriksson M, Harmenberg U, Ährlund-Richter L, Pramana S, Pawitan Y, Nistér M, Nilsson S. Gene expression biomarkers to predict overall survival of prostate cancer patients. Journal of Clinical Oncology. 30: 4561-4561. DOI: 10.1200/Jco.2012.30.15_Suppl.4561 |
0.343 |
|
| 2012 |
Torres-Roca JF, Fulp WJ, Pawitan Y, Foekens J, Smid M, Kamath V, Echevarria M, Lee J, Harris EE, Bergh J, Eschrich S. Abstract 678: Validation of a radiosensitivity molecular signature in breast cancer Cancer Research. 72: 678-678. DOI: 10.1158/1538-7445.Am2012-678 |
0.309 |
|
| 2012 |
Li C, Peng Z, Skoog L, Hjelm-Eriksson M, Ährlund-Richter L, Harmenberg U, Pawitan Y, Cedermark GC, Nistér M, Nilsson S. A Prostate Cancer Expression Signature to Predict Survival Benefit of Primary Hormone Therapy Annals of Oncology. 23. DOI: 10.1016/S0923-7534(20)33463-3 |
0.327 |
|
| 2012 |
Johansson CH, Azimi A, Pernemalm M, Pawitan Y, Stolt MF, Lazar V, Lundeberg J, Lehtio J, Egyhazi S, Hansson J. P2.17 Proteomics and Gene Expression Profiling of Melanoma Chemotherapy Response in Tumors Annals of Oncology. 23: 27-27. DOI: 10.1016/S0923-7534(20)31340-5 |
0.301 |
|
| 2011 |
Ku CS, Teo SM, Naidoo N, Sim X, Teo YY, Pawitan Y, Seielstad M, Chia KS, Salim A. Copy number polymorphisms in new HapMap III and Singapore populations. Journal of Human Genetics. 56: 552-60. PMID 21677662 DOI: 10.1038/Jhg.2011.54 |
0.316 |
|
| 2011 |
Teo SM, Ku CS, Naidoo N, Hall P, Chia KS, Salim A, Pawitan Y. A population-based study of copy number variants and regions of homozygosity in healthy Swedish individuals. Journal of Human Genetics. 56: 524-33. PMID 21633363 DOI: 10.1038/Jhg.2011.52 |
0.309 |
|
| 2011 |
Teo SM, Pawitan Y, Kumar V, Thalamuthu A, Seielstad M, Chia KS, Salim A. Multi-platform segmentation for joint detection of copy number variants. Bioinformatics (Oxford, England). 27: 1555-61. PMID 21471018 DOI: 10.1093/Bioinformatics/Btr162 |
0.324 |
|
| 2011 |
Ku CS, Naidoo N, Teo SM, Pawitan Y. Regions of homozygosity and their impact on complex diseases and traits. Human Genetics. 129: 1-15. PMID 21104274 DOI: 10.1007/S00439-010-0920-6 |
0.305 |
|
| 2011 |
Lee D, Lee W, Lee Y, Pawitan Y. Sparse partial least-squares regression and its applications to high-throughput data analysis Chemometrics and Intelligent Laboratory Systems. 109: 1-8. DOI: 10.1016/J.Chemolab.2011.07.002 |
0.319 |
|
| 2010 |
Yip BH, Moger TA, Pawitan Y. Genetic analysis of age-at-onset traits based on case-control family data. Statistics in Medicine. 29: 3258-66. PMID 21170919 DOI: 10.1002/Sim.3907 |
0.334 |
|
| 2010 |
Lee D, Lee W, Lee Y, Pawitan Y. Super-sparse principal component analyses for high-throughput genomic data. Bmc Bioinformatics. 11: 296. PMID 20525176 DOI: 10.1186/1471-2105-11-296 |
0.33 |
|
| 2010 |
Mei TS, Salim A, Calza S, Seng KC, Seng CK, Pawitan Y. Identification of recurrent regions of Copy-Number Variants across multiple individuals. Bmc Bioinformatics. 11: 147. PMID 20307285 DOI: 10.1186/1471-2105-11-147 |
0.302 |
|
| 2010 |
Ku CS, Loy EY, Pawitan Y, Chia KS. The pursuit of genome-wide association studies: where are we now? Journal of Human Genetics. 55: 195-206. PMID 20300123 DOI: 10.1038/Jhg.2010.19 |
0.302 |
|
| 2010 |
Sboner A, Demichelis F, Calza S, Pawitan Y, Setlur SR, Hoshida Y, Perner S, Adami HO, Fall K, Mucci LA, Kantoff PW, Stampfer M, Andersson SO, Varenhorst E, Johansson JE, et al. Molecular sampling of prostate cancer: a dilemma for predicting disease progression. Bmc Medical Genomics. 3: 8. PMID 20233430 DOI: 10.1186/1755-8794-3-8 |
0.316 |
|
| 2010 |
Yip BH, Reilly M, Cnattingius S, Pawitan Y. Matched ascertainment of informative families for complex genetic modelling. Behavior Genetics. 40: 404-14. PMID 20033275 DOI: 10.1007/S10519-009-9322-8 |
0.331 |
|
| 2009 |
Pawitan Y, Seng KC, Magnusson PK. How many genetic variants remain to be discovered? Plos One. 4: e7969. PMID 19956539 DOI: 10.1371/Journal.Pone.0007969 |
0.318 |
|
| 2009 |
Huang J, Salim A, Lei K, O'Sullivan K, Pawitan Y. Classification of array CGH data using smoothed logistic regression model. Statistics in Medicine. 28: 3798-810. PMID 19856275 DOI: 10.1002/Sim.3753 |
0.323 |
|
| 2009 |
Tan CS, Salim A, Ploner A, Lehtiö J, Chia KS, Pawitan Y. Correlating gene and protein expression data using Correlated Factor Analysis. Bmc Bioinformatics. 10: 272. PMID 19723309 DOI: 10.1186/1471-2105-10-272 |
0.306 |
|
| 2009 |
Hong MG, Pawitan Y, Magnusson PK, Prince JA. Strategies and issues in the detection of pathway enrichment in genome-wide association studies. Human Genetics. 126: 289-301. PMID 19408013 DOI: 10.1007/S00439-009-0676-Z |
0.341 |
|
| 2008 |
Weichselbaum RR, Ishwaran H, Yoon T, Nuyten DS, Baker SW, Khodarev N, Su AW, Shaikh AY, Roach P, Kreike B, Roizman B, Bergh J, Pawitan Y, van de Vijver MJ, Minn AJ. An interferon-related gene signature for DNA damage resistance is a predictive marker for chemotherapy and radiation for breast cancer. Proceedings of the National Academy of Sciences of the United States of America. 105: 18490-5. PMID 19001271 DOI: 10.1073/Pnas.0809242105 |
0.305 |
|
| 2008 |
Mucci LA, Pawitan Y, Demichelis F, Fall K, Stark JR, Adami HO, Andersson SO, Andrén O, Eisenstein A, Holmberg L, Huang W, Kantoff PW, Kim R, Perner S, Stampfer MJ, et al. Testing a multigene signature of prostate cancer death in the Swedish Watchful Waiting Cohort. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 17: 1682-8. PMID 18583469 DOI: 10.1158/1055-9965.Epi-08-0044 |
0.321 |
|
| 2008 |
Forshed J, Pernemalm M, Tan CS, Lindberg M, Kanter L, Pawitan Y, Lewensohn R, Stenke L, Lehtiö J. Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia. Journal of Proteome Research. 7: 2332-41. PMID 18452325 DOI: 10.1021/Pr070482E |
0.326 |
|
| 2008 |
Demissie M, Mascialino B, Calza S, Pawitan Y. Unequal group variances in microarray data analyses. Bioinformatics (Oxford, England). 24: 1168-74. PMID 18344518 DOI: 10.1093/Bioinformatics/Btn100 |
0.308 |
|
| 2008 |
Calza S, Valentini D, Pawitan Y. Normalization of oligonucleotide arrays based on the least-variant set of genes. Bmc Bioinformatics. 9: 140. PMID 18318917 DOI: 10.1186/1471-2105-9-140 |
0.31 |
|
| 2008 |
Mucci LA, Pawitan Y, Demichelis F, Fall K, Stark JR, Adami HO, Andersson SO, Andrén O, Eisenstein AS, Holmberg L, Huang W, Kantoff PW, Perner S, Stampfer MJ, Johansson JE, et al. Nine-gene molecular signature is not associated with prostate cancer death in a watchful waiting cohort. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 17: 249-51. PMID 18199732 DOI: 10.1158/1055-9965.Epi-07-0722 |
0.311 |
|
| 2008 |
Moger TA, Pawitan Y, Borgan O. Case-cohort methods for survival data on families from routine registers. Statistics in Medicine. 27: 1062-74. PMID 17639506 DOI: 10.1002/Sim.3004 |
0.314 |
|
| 2008 |
Yip BH, Björk C, Lichtenstein P, Hultman CM, Pawitan Y. Covariance component models for multivariate binary traits in family data analysis. Statistics in Medicine. 27: 1086-105. PMID 17634971 DOI: 10.1002/Sim.2996 |
0.305 |
|
| 2007 |
Lindström LS, Yip B, Lichtenstein P, Pawitan Y, Czene K. Etiology of familial aggregation in melanoma and squamous cell carcinoma of the skin. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 16: 1639-43. PMID 17684139 DOI: 10.1158/1055-9965.Epi-07-0047 |
0.303 |
|
| 2007 |
Huang J, Gusnanto A, O'Sullivan K, Staaf J, Borg A, Pawitan Y. Robust smooth segmentation approach for array CGH data analysis. Bioinformatics (Oxford, England). 23: 2463-9. PMID 17660206 DOI: 10.1093/Bioinformatics/Btm359 |
0.31 |
|
| 2007 |
Ha ID, Lee Y, Pawitan Y. Genetic mixed linear models for twin survival data. Behavior Genetics. 37: 621-30. PMID 17401640 DOI: 10.1007/S10519-007-9150-7 |
0.347 |
|
| 2007 |
Perelman E, Ploner A, Calza S, Pawitan Y. Detecting differential expression in microarray data: comparison of optimal procedures. Bmc Bioinformatics. 8: 28. PMID 17257426 DOI: 10.1186/1471-2105-8-28 |
0.308 |
|
| 2007 |
Demichelis F, Fall K, Perner S, Andrén O, Schmidt F, Setlur SR, Hoshida Y, Mosquera JM, Pawitan Y, Lee C, Adami HO, Mucci LA, Kantoff PW, Andersson SO, Chinnaiyan AM, et al. TMPRSS2:ERG gene fusion associated with lethal prostate cancer in a watchful waiting cohort. Oncogene. 26: 4596-9. PMID 17237811 DOI: 10.1038/Sj.Onc.1210237 |
0.312 |
|
| 2007 |
Wennmalm K, Calza S, Ploner A, Hall P, Bjöhle J, Klaar S, Smeds J, Pawitan Y, Bergh J. Gene expression in 16q is associated with survival and differs between Sørlie breast cancer subtypes. Genes, Chromosomes & Cancer. 46: 87-97. PMID 17044045 DOI: 10.1002/Gcc.20392 |
0.325 |
|
| 2007 |
Salim A, Pawitan Y. Model-based maximum covariance analysis for irregularly observed climatological data Journal of Agricultural, Biological, and Environmental Statistics. 12: 1-24. DOI: 10.1198/108571107X177078 |
0.307 |
|
| 2006 |
Ivshina AV, George J, Senko O, Mow B, Putti TC, Smeds J, Lindahl T, Pawitan Y, Hall P, Nordgren H, Wong JE, Liu ET, Bergh J, Kuznetsov VA, Miller LD. Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer. Cancer Research. 66: 10292-301. PMID 17079448 DOI: 10.1158/0008-5472.Can-05-4414 |
0.304 |
|
| 2006 |
Pawitan Y, Calza S, Ploner A. Estimation of false discovery proportion under general dependence. Bioinformatics (Oxford, England). 22: 3025-31. PMID 17046978 DOI: 10.1093/Bioinformatics/Btl527 |
0.374 |
|
| 2006 |
Calza S, Hall P, Auer G, Bjöhle J, Klaar S, Kronenwett U, Liu ET, Miller L, Ploner A, Smeds J, Bergh J, Pawitan Y. Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients. Breast Cancer Research : Bcr. 8: R34. PMID 16846532 DOI: 10.1186/Bcr1517 |
0.311 |
|
| 2006 |
Tan CS, Ploner A, Quandt A, Lehtiö J, Pawitan Y. Finding regions of significance in SELDI measurements for identifying protein biomarkers. Bioinformatics (Oxford, England). 22: 1515-23. PMID 16567365 DOI: 10.1093/Bioinformatics/Btl106 |
0.316 |
|
| 2006 |
Lindström L, Pawitan Y, Reilly M, Hemminki K, Lichtenstein P, Czene K. Estimation of genetic and environmental factors for melanoma onset using population-based family data. Statistics in Medicine. 25: 3110-23. PMID 16372390 DOI: 10.1002/Sim.2266 |
0.357 |
|
| 2006 |
Ploner A, Calza S, Gusnanto A, Pawitan Y. Multidimensional local false discovery rate for microarray studies. Bioinformatics (Oxford, England). 22: 556-65. PMID 16368770 DOI: 10.1093/Bioinformatics/Btk013 |
0.356 |
|
| 2006 |
Noh M, Yip B, Lee Y, Pawitan Y. Multicomponent variance estimation for binary traits in family-based studies. Genetic Epidemiology. 30: 37-47. PMID 16265627 DOI: 10.1002/Gepi.20099 |
0.337 |
|
| 2005 |
Gusnanto A, Ploner A, Pawitan Y. Fold-change estimation of differentially expressed genes using mixture mixed-model. Statistical Applications in Genetics and Molecular Biology. 4: Article26. PMID 16646844 DOI: 10.2202/1544-6115.1145 |
0.356 |
|
| 2005 |
Pawitan Y, Murthy KRK, Michiels S, Ploner A. Bias in the estimation of false discovery rate in microarray studies Bioinformatics. 21: 3865-3872. PMID 16105901 DOI: 10.1093/Bioinformatics/Bti626 |
0.379 |
|
| 2005 |
Noh M, Lee Y, Pawitan Y. Robust ascertainment-adjusted parameter estimation Genetic Epidemiology. 29: 68-75. PMID 15892092 DOI: 10.1002/Gepi.20078 |
0.317 |
|
| 2005 |
Pawitan Y, Michiels S, Koscielny S, Gusnanto A, Ploner A. False discovery rate, sensitivity and sample size for microarray studies Bioinformatics. 21: 3017-3024. PMID 15840707 DOI: 10.1093/Bioinformatics/Bti448 |
0.32 |
|
| 2004 |
Pawitan Y, Bjöhle J, Wedren S, Humphreys K, Skoog L, Huang F, Amler L, Shaw P, Hall P, Bergh J. Gene expression profiling for prognosis using Cox regression. Statistics in Medicine. 23: 1767-80. PMID 15160407 DOI: 10.1002/Sim.1769 |
0.364 |
|
| 2004 |
Pawitan Y, Griffin JM, Collins JD. Analysis and prediction of the BSE incidence in Ireland. Preventive Veterinary Medicine. 62: 267-83. PMID 15068891 DOI: 10.1016/J.Prevetmed.2003.12.001 |
0.317 |
|
| 2004 |
Pawitan Y, Reilly M, Nilsson E, Cnattingius S, Lichtenstein P. Estimation of genetic and environmental factors for binary traits using family data. Statistics in Medicine. 23: 449-465. PMID 14748038 DOI: 10.1002/Sim.1603 |
0.335 |
|
| 2002 |
Pawitan Y. In all likelihood : statistical modelling and inference using likelihood The Mathematical Gazette. 86: 375-376. DOI: 10.2307/3621915 |
0.309 |
|
| 2001 |
Pawitan Y. Two-staged estimation of variance components in generalized linear mixed models Journal of Statistical Computation and Simulation. 69: 1-17. DOI: 10.1080/00949650108812079 |
0.318 |
|
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