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1. Full Text Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm
by Weissgerber, Tracey L and Milic, Natasa M and Winham, Stacey J and Garovic, Vesna D
PLoS Biology, ISSN 1544-9173, 04/2015, Volume 13, Issue 4, p. e1002128
Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research... 
ERRORS | SAMPLES | STATISTICS | BIOCHEMISTRY & MOLECULAR BIOLOGY | BIOLOGY | Data Interpretation, Statistical | Publishing | Studies | Graphs | Standard deviation | Womens health | Variance analysis
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2. Full Text Sex hormones in alcohol consumption: a systematic review of evidence
: Sex hormones in alcoholism
by Erol, Almila and Ho, Ada M.-C and Winham, Stacey J and Karpyak, Victor M
Addiction Biology, ISSN 1355-6215, 03/2019, Volume 24, Issue 2, pp. 157 - 169
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3. Full Text Gene-environment interaction in genome-wide association studies: curent approaches and new direction
by Winham, Stacey J and Biernacka, Joanna M
Journal of Child Psychology and Psychiatry, ISSN 0021-9630, 10/2013, Volume 54, Issue 10, p. 1120
Genome-wide association studies | Usage | Behavior genetics | Genetic aspects | Research | Mental illness
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4. Full Text Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm
: e1002128
by Tracey L Weissgerber and Natasa M Milic and Stacey J Winham and Vesna D Garovic
PLoS Biology, ISSN 1544-9173, 04/2015, Volume 13, Issue 4
Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research... 
Studies | Womens health | Graphs | Standard deviation | Variance analysis
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5. Full Text Modeling X Chromosome Data Using Random Forests: Conquering Sex Bias
: Modeling X Chromosome Data Using Random Forests
by Winham, Stacey J and Jenkins, Gregory D and Biernacka, Joanna M
Genetic Epidemiology, ISSN 0741-0395, 02/2016, Volume 40, Issue 2, pp. 123 - 132
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6. Full Text Gene–environment interactions in genome‐wide association studies: current approaches and new directions
by Winham, Stacey J and Biernacka, Joanna M
Journal of Child Psychology and Psychiatry, ISSN 0021-9630, 10/2013, Volume 54, Issue 10, pp. 1120 - 1134
BackgroundComplex psychiatric traits have long been thought to be the result of a combination of genetic and environmental factors, and gene-environment... 
gene‐set | pathway | Gene–environment interaction | data‐mining | gene‐level | data-mining | gene-level | gene-set | Gene-environment interaction | STATISTICAL-METHODS | RANDOM FORESTS | PSYCHIATRY | PSYCHOLOGY, DEVELOPMENTAL | GENEENVIRONMENT INTERACTION | PSYCHOLOGY | MULTIFACTOR-DIMENSIONALITY REDUCTION | LONGITUDINAL TWIN | MAOA GENOTYPE | NEGATIVE LIFE EVENTS | MAJOR DEPRESSIVE DISORDER | ANTISOCIAL-BEHAVIOR | VARIABLE IMPORTANCE | Personality Traits | Correlation | Mental Disorders | Psychological Studies | Genetics | Mental Health | Research Methodology | Scientific Research | Environmental Influences | Psychiatry | Genome-Wide Association Study - trends | Research Design - standards | Research Design - trends | Genome-Wide Association Study - methods | Gene-Environment Interaction | Humans | Environment | Psychology | Genes | Genomics
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7. Full Text SNP interaction detection with Random Forests in high-dimensional genetic data
by Winham, Stacey J and Colby, Colin L and Freimuth, Robert R and Wang, Xin and de Andrade, Mariza and Huebner, Marianne and Biernacka, Joanna M
BMC Bioinformatics, ISSN 1471-2105, 07/2012, Volume 13, Issue 1, pp. 164 - 164
Background: Identifying variants associated with complex human traits in high-dimensional data is a central goal of genome-wide association studies. However,... 
REGRESSION | BIOCHEMICAL RESEARCH METHODS | CLASSIFICATION | EPISTASIS | STRATEGIES | REDUCTION | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | MATHEMATICAL & COMPUTATIONAL BIOLOGY | MISSING HERITABILITY | COMPLEX DISEASES | SELECTION | GENOME-WIDE ASSOCIATION | VARIABLE IMPORTANCE | Genome-Wide Association Study | Genes | Humans | Data Mining | Logistic Models | Polymorphism, Single Nucleotide | Linkage Disequilibrium | Genome-wide association studies | Analysis | Genomics | Genetic research | Forests and forestry | Single nucleotide polymorphisms | Data mining | Studies | Design | Variables | Health sciences | Disease | Neural networks | Genetics | Statistical methods | Genomes | Risk factors | Manuscripts | Filters | Forests | Etiology | Data processing | Models | Single-nucleotide polymorphism | Bioinformatics
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8. Full Text From Static to Interactive: Transforming Data Visualization to Improve Transparency
by Weissgerber, Tracey L and Garovic, Vesna D and Savic, Marko and Winham, Stacey J and Milic, Natasa M
PLoS Biology, ISSN 1544-9173, 06/2016, Volume 14, Issue 6, p. e1002484
Data presentation for scientific publications in small sample size studies has not changed substantially in decades. It relies on static figures and tables... 
BIOCHEMISTRY & MOLECULAR BIOLOGY | KEY | BIOLOGY | Computer Graphics | Computational Biology - methods | Reproducibility of Results | Publications | Information Dissemination - methods | Software | Internet | Research Report - standards | Studies | Datasets | Graphs | Womens health
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9. Full Text Genetics of cardiovascular disease: Importance of sex and ethnicity
by Winham, Stacey J and de Andrade, Mariza and Miller, Virginia M
Atherosclerosis, ISSN 0021-9150, 2015, Volume 241, Issue 1, pp. 219 - 228
Abstract Sex differences in incidence and prevalence of and morbidity and mortality from cardiovascular disease are well documented. However, many studies... 
Cardiovascular | Women | Coronary arterial calcification | Sex chromosomes | Carotid intima-medial thickness | Atherosclerosis | Men | INTIMA-MEDIA THICKNESS | POLYCYSTIC-OVARY-SYNDROME | CARDIAC & CARDIOVASCULAR SYSTEMS | ANDROGEN-RECEPTOR GENE | HUMAN X-CHROMOSOME | Y-CHROMOSOME | NHLBI-SPONSORED WISE | EARLY ESTROGEN PREVENTION | PERIPHERAL VASCULAR DISEASE | CORONARY-ARTERY-DISEASE | CAG REPEAT POLYMORPHISM | GENOME-WIDE ASSOCIATION | Genetic Predisposition to Disease | Prognosis | Age Factors | Cardiovascular Diseases - ethnology | Cardiovascular Diseases - metabolism | Genetic Association Studies | Risk Assessment | Comorbidity | Health Status Disparities | Humans | Risk Factors | Male | Gonadal Hormones - metabolism | Continental Population Groups - genetics | Cardiovascular Diseases - genetics | Chromosomes, Human, X | Chromosomes, Human, Y | Phenotype | Sex Factors | Female | Gonadal Hormones - genetics | Cardiovascular Diseases - diagnosis | Analysis | Mortality | Genomics | Genetic aspects | Cardiovascular diseases | Chromosomes | Health aspects | Biomedical engineering | Prevalence studies (Epidemiology) | atherosclerosis | carotid intima-medial thickness | sex chromosomes | coronary arterial calcification | men | women
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10. Full Text Five endometrial cancer risk loci identified through genome-wide association analysis
by Cheng, Timothy H.T and Thompson, Deborah J and O'Mara, Tracy A and Painter, Jodie N and Glubb, Dylan M and Flach, Susanne and Lewis, Annabelle and French, Juliet D and Freeman-Mills, Luke and Church, David and Gorman, Maggie and Martin, Lynn and Hodgson, Shirley and MWebb, Penelope and Attia, John and Holliday, Elizabeth G and McEvoy, Mark and Scott, Rodney J and KHenders, Anjali and Martin, Nicholas G and Montgomery, Grant W and Nyholt, Dale R and Ahmed, Shahana and Healey, Catherine S and Shah, Mitul and Dennis, Joe and Fasching, Peter A and Beckmann, Matthias W and Hein, Alexander and Ekici, Arif B and Hall, Per and Czene, Kamila and Darabi, Hatef and Li, Jingmei and Dörk, Thilo and Dürst, Matthias and Hillemanns, Peter and Runnebaum, Ingo and Amant, Frederic and Schrauwen, Stefanie and Zhao, Hui and Lambrechts, Diether and Depreeuw, Jeroen and Dowdy, Sean C and Goode, Ellen L and Fridley, Brooke L and Winham, Stacey J and NjØlstad, Tormund S and Salvesen, Helga B and Trovik, Jone and Werner, Henrica M.J and Ashton, Katie and Otton, Geoffrey and Proietto, Tony and Liu, Tao and Mints, Miriam and Tham, Emma and Li, Mulin Jun and Yip, Shun H and Wang, Junwen and KBolla, Manjeet and Michailidou, Kyriaki and Wang, Qin and Tyrer, Jonathan P and Dunlop, Malcolm and Houlston, Richard and Palles, Claire and Hopper, John L and Peto, Julian and Swerdlow, Anthony J and Burwinkel, Barbara and Brenner, Hermann and Meindl, Alfons and Brauch, Hiltrud and Lindblom, Annika and Chang-Claude, Jenny and Couch, Fergus J and Giles, Graham G and Kristensen, Vessela N and Cox, Angela and MCunningham, Julie and Pharoah, Paul D.P and Dunning, Alison M and Edwards, Stacey L and Easton, Douglas F and Tomlinson, Ian and Spurdle, Amanda B and RENDOCAS and RENDOCAS CHIBCHA Consortium and AOCS Group and Australian Natl Endometrial Canc S and Natl Study Endometrial Canc Geneti and Australian National Endometrial Cancer Study Group (ANECS) and National Study of Endometrial Cancer Genetics Group (NSECG) and CHIBCHA Consortium and The Australian National Endometrial Cancer Study Group (ANECS)
Nature Genetics, ISSN 1061-4036, 06/2016, Volume 48, Issue 6, pp. 667 - 674
We conducted a meta-analysis of three endometrial cancer genome-wide association studies (GWAS) and two follow-up phases totaling 7,737 endometrial cancer... 
COHORT PROFILE | HETEROGENEITY | 8Q24 | METAANALYSIS | REPLICATION | VARIANTS | COLORECTAL-CANCER | TRANSCRIPTION | GENETICS & HEREDITY | SUSCEPTIBILITY LOCI | SCAN | Promoter Regions, Genetic | Genetic Predisposition to Disease | Genome-Wide Association Study | Endometrial Neoplasms - genetics | Humans | Female | Chromosomes, Human, Pair 8 | Polymorphism, Single Nucleotide | Genome-wide association studies | Research | Endometrial cancer | Gene expression | Analysis | Risk factors | Medical research | Biomedical research | Funding | Genomes | Epidemiology | Ovarian cancer | Proteins | Studies | Confidence intervals | Hormone replacement therapy | Reproductive system | Health risk assessment
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11. Full Text Reinventing Biostatistics Education for Basic Scientists
by Weissgerber, Tracey L and Garovic, Vesna D and Milin-Lazovic, Jelena S and Winham, Stacey J and Obradovic, Zoran and Trzeciakowski, Jerome P and Milic, Natasa M
PLoS Biology, ISSN 1544-9173, 04/2016, Volume 14, Issue 4, p. e1002430
Numerous studies demonstrating that statistical errors are common in basic science publications have led to calls to improve statistical training for basic... 
Biostatistics | Science - education | Hypothesis testing | Departments | Statistical analysis | Biomedical research | Educational materials | Science | Statistical methods | Statistics | Studies | Researchers | Students | Education | Skills | Womens health | Research methodology | Journals | Physiology | Scientists | Open access
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12. Full Text Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer
by Phelan, Catherine M and Kuchenbaecker, Karoline B and Tyrer, Jonathan P and Kar, Siddhartha P and Lawrenson, Kate and Winham, Stacey J and Dennis, Joe and Pirie, Ailith and Riggan, Marjorie J and Chornokur, Ganna and Earp, Madalene A and Lyra, Paulo C and Lee, Janet M and Coetzee, Simon and Beesley, Jonathan and McGuffog, Lesley and Soucy, Penny and Dicks, Ed and Lee, Anew and Barrowdale, Daniel and Lecarpentier, Julie and Leslie, Goska and Aalfs, Cora M and Aben, Katja K. H and Adams, Marcia and Adlard, Julian and Anulis, Irene L and Anton-Culver, Hoda and Antonenkova, Natalia and Aravantinos, Gerasimos and Arnold, Norbert and Arun, Banu K and Arver, Brita and Azzollini, Jacopo and Balmaña, Judith and Banerjee, Susana N and Barjhoux, Laure and Barkardottir, Rosa B and Bean, Yukie and Beckmann, Matthias W and Beeghly-Fadiel, Alicia and Benitez, Javier and Bermisheva, Marina and Bernardini, Marcus Q and Birrer, Michael J and Bjorge, Line and Black, Amanda and Blankstein, Kenneth and Blok, Marinus J and Bodelon, Clara and Bogdanova, Natalia and Bojesen, Anders and Bonanni, Bernardo and Borg, Åke and Bradbury, Angela R and Brenton, James D and Brewer, Carole and Brinton, Louise and Broberg, Per and Brooks-Wilson, Angela and Bruinsma, Fiona and Brunet, Joan and Buecher, Bruno and Butzow, Ralf and Buys, Sauna S and Caldes, Trinidad and Caligo, Maria A and Campbell, Ian and Cannioto, Rikki and Carney, Michael E and Cescon, Terence and Chan, Salina B and Chang-Claude, Jenny and Chanock, Stephen and Chen, Xiao Qing and Chiew, Yoke-Eng and Chiquette, Jocelyne and Chung, Wendy K and Claes, Kathleen B. M and Conner, Thomas and Cook, Linda S and Cook, Jackie and Cramer, Daniel W and Cunningham, Julie M and D'Aloisio, Aimee A and Daly, Mary B and Damiola, Francesca and Damirovna, Sakaeva Dina and Dansonka-Mieszkowska, Agnieszka and Dao, Fanny and Davidson, Rosemarie and Defazio, Anna and Delnatte, Capucine and Doheny, Kimberly F and Diez, Orland and Ding, Yuan Chun and Doherty, Jennifer Anne and Domchek, Susan M and Dorfling, Cecilia M and Dörk, Thilo and ... and KConFab Investigators and EMEMBRACE Study and GEMO Study Collaborators and OPAL Study Grp and AOCS Study Grp and HEBON Study and AOCS study group and EMBRACE Study and OPAL study group and Medicinska fakulteten and Medicinska och farmaceutiska vetenskapsområdet and Ortopedi and Uppsala universitet and Institutionen för kirurgiska vetenskaper
Nature genetics, ISSN 1061-4036, 2017, Volume 49, Issue 5, pp. 680 - 691
To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping... 
BREAST-CANCER | COMMON VARIANTS | METAANALYSIS | CLEAR-CELL | ALGORITHM | GENETICS & HEREDITY | RISK | ASSOCIATION | CARCINOMA | ENDOMETRIOSIS | TELOMERE LENGTH | Neoplasms, Glandular and Epithelial - pathology | Genetic Predisposition to Disease - genetics | Genome-Wide Association Study | Meta-Analysis as Topic | Humans | Risk Factors | Genetic Loci - genetics | Ovarian Neoplasms - pathology | Genotype | Ovarian Neoplasms - genetics | BRCA1 Protein - genetics | Neoplasms, Glandular and Epithelial - genetics | Telomere-Binding Proteins - genetics | Alleles | Carcinoma, Ovarian Epithelial | Female | Polymorphism, Single Nucleotide | Mutation | BRCA2 Protein - genetics | Genetic susceptibility | Physiological aspects | Genetic aspects | Single nucleotide polymorphisms | Identification and classification | Health aspects | Risk factors | Ovarian cancer | Carriers | Medical research | Ovarian carcinoma | Genes | Gene regulation | Genomes | Breast cancer | Loci | Cancer | Life Sciences | Human health and pathology | Genetics | Medical and Health Sciences | Medicin och hälsovetenskap
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13. Full Text Transparent reporting for reproducible science
: Transparent Statistical Reporting in JNR
by Weissgerber, Tracey L and Garovic, Vesna D and Winham, Stacey J and Milic, Natasa M and Prager, Eric M
Journal of Neuroscience Research, ISSN 0360-4012, 10/2016, Volume 94, Issue 10, pp. 859 - 864
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