Browsing Department of Biostatistics by Title

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Browsing Department of Biostatistics by Title

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  • Bureau, Alexandre; Dupuis, Josée; Hayward, Brooke; Falls, Kathleen; Van Eerdewegh, Paul (BioMed Central, 2003-12-31)
    Random Forest is a prediction technique based on growing trees on bootstrap samples of data, in conjunction with a random selection of explanatory variables to define the best split at each node. In the case of a quantitative ...
  • Webster, Thomas; Vieira, Verónica; Weinberg, Janice; Aschengrau, Ann (BioMed Central, 2006-6-9)
    BACKGROUND. Mapping spatial distributions of disease occurrence and risk can serve as a useful tool for identifying exposures of public health concern. Disease registry data are often mapped by town or county of diagnosis ...
  • Cole, J Alexander; Rothman, Kenneth J; Cabral, Howard J; Zhang, Yuqing; Farraye, Francis A (BioMed Central, 2006-9-28)
    BACKGROUND. Case descriptions suggest IBS patients are more likely to have other disorders, including migraine, fibromyalgia, and depression. We sought to examine the prevalence of these conditions in cohorts of people ...
  • Young, Robin L; Weinberg, Janice; Vieira, Verónica; Aschengrau, Ann; Webster, Thomas F (BioMed Central, 2010-7-9)
    BACKGROUND. It is unclear whether the socioeconomic status (SES) of the community of residence has a substantial association with infant birth weight. We used multilevel models to examine associations of birth weight with ...
  • Yip, Agustín G; Green, Robert C; Huyck, Matthew; Cupples, L Adrienne; Farrer, Lindsay A (BioMed Central, 2005-1-12)
    BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAID) use may protect against Alzheimer's disease (AD) risk. We sought examine the association between NSAID use and risk of AD, and potential effect modification by APOE-ε4 ...
  • Heard-Costa, Nancy L.; Zillikens, M. Carola; Monda, Keri L.; Johansson, Åsa; Harris, Tamara B.; Fu, Mao; Haritunians, Talin; Feitosa, Mary F.; Aspelund, Thor; Eiriksdottir, Gudny; Garcia, Melissa; Launer, Lenore J.; Smith, Albert V.; Mitchell, Braxton D.; McArdle, Patrick F.; Shuldiner, Alan R.; Bielinski, Suzette J.; Boerwinkle, Eric; Brancati, Fred; Demerath, Ellen W.; Pankow, James S.; Arnold, Alice M.; Chen, Yii-Der Ida; Glazer, Nicole L.; McKnight, Barbara; Psaty, Bruce M.; Rotter, Jerome I.; Amin, Najaf; Campbell, Harry; Gyllensten, Ulf; Pattaro, Cristian; Pramstaller, Peter P.; Rudan, Igor; Struchalin, Maksim; Vitart, Veronique; Gao, Xiaoyi; Kraja, Aldi; Province, Michael A.; Zhang, Qunyuan; Atwood, Larry D.; Dupuis, Josée; Hirschhorn, Joel N.; Jaquish, Cashell E.; O'Donnell, Christopher J.; Vasan, Ramachandran S.; White, Charles C.; Aulchenko, Yurii S.; Estrada, Karol; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, André G.; Witteman, Jacqueline C. M.; Oostra, Ben A.; Kaplan, Robert C.; Gudnason, Vilmundur; O'Connell, Jeffrey R.; Borecki, Ingrid B.; van Duijn, Cornelia M.; Cupples, L. Adrienne; Fox, Caroline S.; North, Kari E. (Public Library of Science, 2009-6-26)
    Central abdominal fat is a strong risk factor for diabetes and cardiovascular disease. To identify common variants influencing central abdominal fat, we conducted a two-stage genome-wide association analysis for waist ...
  • Kimura, Masayuki; Cherkas, Lynn F; Kato, Bernet S; Demissie, Serkalem; Hjelmborg, Jacob B; Brimacombe, Michael; Cupples, Adrienne; Hunkin, Janice L; Gardner, Jefferey P; Lu, Xiaobin; Cao, Xiaojian; Sastrasinh, Malinee; Province, Michael A; Hunt, Steven C; Christensen, Kaare; Levy, Daniel; Spector, Tim D; Aviv, Abraham (Public Library of Science, 2008-2-15)
    Leukocyte telomere length (LTL) is a complex genetic trait. It shortens with age and is associated with a host of aging-related disorders. Recent studies have observed that offspring of older fathers have longer LTLs. We ...
  • Pou, Karla M.; Massaro, Joseph M.; Hoffmann, Udo; Lieb, Kathrin; Vasan, Ramachandran S.; O'Donnell, Christopher J.; Fox, Caroline S. (American Diabetes Association, 2011-12-29)
    OBJECTIVE: The prevalence of abdominal obesity exceeds that of general obesity. We sought to determine the prevalence of abdominal subcutaneous and visceral obesity and to characterize the different patterns of fat ...
  • Liu, Ching-Ti; Yuan, Shinsheng; Li, Ker-Chau (Nucleic Acids Research, 2009-2)
    Many successful functional studies by gene expression profiling in the literature have led to the perception that profile similarity is likely to imply functional association. But how true is the converse of the above ...
  • Blood, Emily A; Cabral, Howard; Heeren, Timothy; Cheng, Debbie M (BioMed Central, 2010-2-19)
    BACKGROUND: Linear mixed effects models (LMMs) are a common approach for analyzing longitudinal data in a variety of settings. Although LMMs may be applied to complex data structures, such as settings where mediators are ...
  • Meng, Yan A; Yu, Yi; Cupples, L Adrienne; Farrer, Lindsay A; Lunetta, Kathryn L (BioMed Central, 2009-3-5)
    BACKGROUND. Single nucleotide polymorphisms (SNPs) may be correlated due to linkage disequilibrium (LD). Association studies look for both direct and indirect associations with disease loci. In a Random Forest (RF) analysis, ...
  • Montez-Rath, Maria; Christiansen, Cindy L; Ettner, Susan L; Loveland, Susan; Rosen, Amy K (BioMed Central, 2006-10-26)
    BACKGROUND: Providers use risk-adjustment systems to help manage healthcare costs. Typically, ordinary least squares (OLS) models on either untransformed or log-transformed cost are used. We examine the predictive ability ...
  • Lieb, Wolfgang; Sullivan, Lisa M.; Harris, Tamara B.; Roubenoff, Ronenn; Benjamin, Emelia J.; Levy, Daniel; Fox, Caroline S.; Wang, Thomas J.; Wilson, Peter W.; Kannel, William B.; Vasan, Ramachandran S. (American Diabetes Association, 2008-12-29)
    OBJECTIVE: Obesity predisposes individuals to congestive heart failure (CHF) and cardiovascular disease (CVD). Leptin regulates energy homeostasis, is elevated in obesity, and influences ventricular and vascular remodeling. ...
  • Sebastiani, Paola; Hartley, Stephen (2012-11-16)
    The program PleioGRiP performs a genome-wide Bayesian model search to identify SNPs associated with a discrete phenotype, and uses SNPs ranked by Bayes factor to produce nested Bayesian classifiers. These classifiers can ...
  • Corbett, Kelly L.; Losina, Elena; Nti, Akosua A.; Prokopetz, Julian J. Z.; Katz, Jeffrey N. (Public Library of Science, 2010-10-20)
    BACKGROUND. Most research on failure leading to revision total hip arthroplasty (THA) is reported from single centers. We searched PubMed between January 2000 and August 2010 to identify population- or community-based ...
  • Yang, Qiong; Cui, Jing; Chazaro, Irmarie; Cupples, L Adrienne; Demissie, Serkalem (BioMed Central, 2005-12-30)
    In genome-wide genetic studies with a large number of markers, balancing the type I error rate and power is a challenging issue. Recently proposed false discovery rate (FDR) approaches are promising solutions to this ...
  • Young, Robin L; Weinberg, Janice; Vieira, Verónica; Ozonoff, Al; Webster, Thomas F (2010-7-19)
    BACKGROUND. A common, important problem in spatial epidemiology is measuring and identifying variation in disease risk across a study region. In application of statistical methods, the problem has two parts. First, spatial ...
  • Aschengrau, Ann; Weinberg, Janice; Rogers, Sarah; Gallagher, Lisa; Winter, Michael; Vieira, Veronica; Webster, Thomas; Ozonoff, David (National Institute of Environmental Health Sciences, 2008-06)
    BACKGROUND. Prior studies of prenatal exposure to tetrachloroethylene (PCE) have shown mixed results regarding its effect on birth weight and gestational age. OBJECTIVES. In this retrospective cohort study we examined ...
  • Aschengrau, Ann; Weinberg, Janice M; Janulewicz, Patricia A; Gallagher, Lisa G; Winter, Michael R; Vieira, Veronica M; Webster, Thomas F; Ozonoff, David M (BioMed Central, 2009-9-24)
    BACKGROUND: Prior animal and human studies of prenatal exposure to solvents including tetrachloroethylene (PCE) have shown increases in the risk of certain congenital anomalies among exposed offspring. OBJECTIVES: This ...
  • Peloso, Gina M; Timofeev, Nadia; Lunetta, Kathryn L (BioMed Central, 2009-12-15)
    Population structure occurs when a sample is composed of individuals with different ancestries and can result in excess type I error in genome-wide association studies. Genome-wide principal-component analysis (PCA) has ...

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