Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Statistical Theory (7)
- Statistical Methodology (5)
- Medicine and Health Sciences (4)
- Biostatistics (3)
- Epidemiology (3)
-
- Public Health (3)
- Applied Statistics (2)
- Categorical Data Analysis (2)
- Life Sciences (2)
- Multivariate Analysis (2)
- Probability (2)
- Survival Analysis (2)
- Algebra (1)
- Algebraic Geometry (1)
- Analysis (1)
- Animal Sciences (1)
- Applied Mathematics (1)
- Business (1)
- Curriculum and Instruction (1)
- Demography, Population, and Ecology (1)
- Design of Experiments and Sample Surveys (1)
- Disability and Equity in Education (1)
- Disease Modeling (1)
- Diseases (1)
- Ecology and Evolutionary Biology (1)
- Education (1)
- Educational Psychology (1)
- Institution
- Keyword
-
- EM algorithm (2)
- Acheivement (1)
- Acheivement gap (1)
- Admixture (1)
- Air Pollution; Backfitting Algorithm; Environmental Epidemiology; Particulate Matter; Spatio-temporal Modeling (1)
-
- Algorhithms (1)
- Amystoma opacum (1)
- Ancestry (1)
- Conservation biology (1)
- Cross-validation; HIV-infection; Nonparametric function estimation; Personalized medicine; Subgroup analysis (1)
- Diffusion tensor imaging; random matrix; likelihood ratio test; manifold-valued data; Satterthwaite approximation; multiple testing (1)
- Ecology (1)
- Estimating equation; proportional hazards model; proportional odds model; right censoring; transformation model (1)
- Forestry (1)
- Gender (1)
- Generalized linear models (1)
- Geometer's Sketchpad (GSP) (1)
- Geometry (1)
- Group testing (1)
- Hidden Markov Model (1)
- Inverse Probability of Treatment Weighted (IPTW) Estimator; Causal Models; Marginal Structural Model (MSM) (1)
- Judicial statistics (1)
- Manova (1)
- Matched-pair analysis (1)
- Mathematics (1)
- Measurement error (1)
- Metapopulation biology (1)
- Minority (1)
- Model selection theory (1)
- Multiple imputation (1)
- Publication
-
- Harvard University Biostatistics Working Paper Series (3)
- COBRA Preprint Series (2)
- Department of Statistics: Dissertations, Theses, and Student Work (1)
- Department of Statistics: Faculty Publications (1)
- FIU Electronic Theses and Dissertations (1)
-
- Faculty and Research Publications (1)
- Johns Hopkins University, Dept. of Biostatistics Working Papers (1)
- Masters Theses 1911 - February 2014 (1)
- Psychology Faculty Publications (1)
- U.C. Berkeley Division of Biostatistics Working Paper Series (1)
- University of Maine Office of Research Administration: Grant Reports (1)
- Vanderbilt Law School Faculty Publications (1)
Articles 1 - 15 of 15
Full-Text Articles in Statistical Models
Mri: Acquisition Of Interactive Visualization Tools For Supercomputer Models, Bruce E. Segee, Huijie Xue, Kiran Bhaganagar, James Fastook, Peter O. Koons
Mri: Acquisition Of Interactive Visualization Tools For Supercomputer Models, Bruce E. Segee, Huijie Xue, Kiran Bhaganagar, James Fastook, Peter O. Koons
University of Maine Office of Research Administration: Grant Reports
This project, acquiring a visualization facility (vizwall with high resolution display and high volume storage system to visualize large size data generated from diverse research activities), models polar ice sheets, oceans, atmospheric turbulent boundary layers, and geodynamics. The facility, whose main components consist of a visualization wall, a PRISM visualization server, and RAID storage disks, will be integrated to the university's existing supercomputer cluster.
Sequence Comparison And Stochastic Model Based On Multi-Order Markov Models, Xiang Fang
Sequence Comparison And Stochastic Model Based On Multi-Order Markov Models, Xiang Fang
Department of Statistics: Dissertations, Theses, and Student Work
This dissertation presents two statistical methodologies developed on multi-order Markov models. First, we introduce an alignment-free sequence comparison method, which represents a sequence using a multi-order transition matrix (MTM). The MTM contains information of multi-order dependencies and provides a comprehensive representation of the heterogeneous composition within a sequence. Based on the MTM, a distance measure is developed for pair-wise comparison of sequences. The new method is compared with the traditional maximum likelihood (ML) method, the complete composition vector (CCV) method and the improved version of the complete composition vector (ICCV) method using simulated sequences. We further illustrate the application of …
Causal Inference In Epidemiological Studies With Strong Confounding, Kelly L. Moore, Romain S. Neugebauer, Mark J. Van Der Laan, Ira B. Tager
Causal Inference In Epidemiological Studies With Strong Confounding, Kelly L. Moore, Romain S. Neugebauer, Mark J. Van Der Laan, Ira B. Tager
U.C. Berkeley Division of Biostatistics Working Paper Series
One of the identifiabilty assumptions of causal effects defined by marginal structural model (MSM) parameters is the experimental treatment assignment (ETA) assumption. Practical violations of this assumption frequently occur in data analysis, when certain exposures are rarely observed within some strata of the population. The inverse probability of treatment weighted (IPTW) estimator is particularly sensitive to violations of this assumption, however, we demonstrate that this is a problem for all estimators of causal effects. This is due to the fact that the ETA assumption is about information (or lack thereof) in the data. A new class of causal models, causal …
The Em Algorithm For Group Testing Regression Models Under Matrix Pooling, Christopher R. Bilder, Boan Zhang
The Em Algorithm For Group Testing Regression Models Under Matrix Pooling, Christopher R. Bilder, Boan Zhang
Department of Statistics: Faculty Publications
No abstract provided.
Shrinkage Estimation Of Expression Fold Change As An Alternative To Testing Hypotheses Of Equivalent Expression, Zahra Montazeri, Corey M. Yanofsky, David R. Bickel
Shrinkage Estimation Of Expression Fold Change As An Alternative To Testing Hypotheses Of Equivalent Expression, Zahra Montazeri, Corey M. Yanofsky, David R. Bickel
COBRA Preprint Series
Research on analyzing microarray data has focused on the problem of identifying differentially expressed genes to the neglect of the problem of how to integrate evidence that a gene is differentially expressed with information on the extent of its differential expression. Consequently, researchers currently prioritize genes for further study either on the basis of volcano plots or, more commonly, according to simple estimates of the fold change after filtering the genes with an arbitrary statistical significance threshold. While the subjective and informal nature of the former practice precludes quantification of its reliability, the latter practice is equivalent to using a …
A Spatio-Temporal Approach For Estimating Chronic Effects Of Air Pollution, Sonja Greven, Francesca Dominici, Scott L. Zeger
A Spatio-Temporal Approach For Estimating Chronic Effects Of Air Pollution, Sonja Greven, Francesca Dominici, Scott L. Zeger
Johns Hopkins University, Dept. of Biostatistics Working Papers
Estimating the health risks associated with air pollution exposure is of great importance in public health. In air pollution epidemiology, two study designs have been used mainly. Time series studies estimate acute risk associated with short-term exposure. They compare day-to-day variation of pollution concentrations and mortality rates, and have been criticized for potential confounding by time-varying covariates. Cohort studies estimate chronic effects associated with long-term exposure. They compare long-term average pollution concentrations and time-to-death across cities, and have been criticized for potential confounding by individual risk factors or city-level characteristics.
We propose a new study design and a statistical model, …
A Class Of Semiparametric Mixture Cure Survival Models With Dependent Censoring, Megan Othus, Yi Li, Ram C. Tiwari
A Class Of Semiparametric Mixture Cure Survival Models With Dependent Censoring, Megan Othus, Yi Li, Ram C. Tiwari
Harvard University Biostatistics Working Paper Series
No abstract provided.
The Effects Of The Use Of Technology In Mathematics Instruction On Student Achievement, Ron Y. Myers
The Effects Of The Use Of Technology In Mathematics Instruction On Student Achievement, Ron Y. Myers
FIU Electronic Theses and Dissertations
The purpose of this study was to examine the effects of the use of technology on students’ mathematics achievement, particularly the Florida Comprehensive Assessment Test (FCAT) mathematics results. Eleven schools within the Miami-Dade County Public School System participated in a pilot program on the use of Geometers Sketchpad (GSP). Three of these schools were randomly selected for this study. Each school sent a teacher to a summer in-service training program on how to use GSP to teach geometry. In each school, the GSP class and a traditional geometry class taught by the same teacher were the study participants. Students’ mathematics …
Analysis Of Randomized Comparative Clinical Trial Data For Personalized Treatment Selections, Tianxi Cai, Lu Tian, Peggy H. Wong, L. J. Wei
Analysis Of Randomized Comparative Clinical Trial Data For Personalized Treatment Selections, Tianxi Cai, Lu Tian, Peggy H. Wong, L. J. Wei
Harvard University Biostatistics Working Paper Series
No abstract provided.
Correlated Binary Regression Using Orthogonalized Residuals, Richard C. Zink, Bahjat F. Qaqish
Correlated Binary Regression Using Orthogonalized Residuals, Richard C. Zink, Bahjat F. Qaqish
COBRA Preprint Series
This paper focuses on marginal regression models for correlated binary responses when estimation of the association structure is of primary interest. A new estimating function approach based on orthogonalized residuals is proposed. This procedure allows a new representation and addresses some of the difficulties of the conditional-residual formulation of alternating logistic regressions of Carey, Zeger & Diggle (1993). The new method is illustrated with an analysis of data on impaired pulmonary function.
Group Comparison Of Eigenvalues And Eigenvectors Of Diffusion Tensors, Armin Schwartzman, Robert F. Dougherty, Jonathan E. Taylor
Group Comparison Of Eigenvalues And Eigenvectors Of Diffusion Tensors, Armin Schwartzman, Robert F. Dougherty, Jonathan E. Taylor
Harvard University Biostatistics Working Paper Series
No abstract provided.
Conservation Implications Of A Marbled Salamander, Ambystoma Opacum, Metapopulation Model, Ethan B. Plunkett
Conservation Implications Of A Marbled Salamander, Ambystoma Opacum, Metapopulation Model, Ethan B. Plunkett
Masters Theses 1911 - February 2014
Amphibians are in decline globally and a significantly greater percentage of ambystomatid salamander species are in decline relative to other species; habitat loss contributes significantly to this decline. The goals of this thesis is to better understand extinction risk in a marbled salamander (ambystoma opacum) population and how forestry effects extinction risk. To achieve this goal we first estimated an important life history parameter (Chapter 1) then used a metapopulation model to estimate population viability and determine what aspects of their life history put them most at risk (Chapter 2) and finally predicted extinction risk in response to hypothetical forestry …
A Practical Solution To The Reference Class Problem, Edward K. Cheng
A Practical Solution To The Reference Class Problem, Edward K. Cheng
Vanderbilt Law School Faculty Publications
The "reference class problem" is a serious challenge to the use of statistical evidence that arguably arises every day in wide variety of cases, including toxic torts, property valuation, and even drug smuggling. At its core, it observes that statistical inferences depend critically on how people, events, or things are classified. As there is (purportedly) no principle for privileging certain categories over others, statistics become manipulable, undermining the very objectivity and certainty that make statistical evidence valuable and attractive to legal actors. In this paper, I propose a practical solution to the reference class problem by drawing on model selection …
Using Paired Comparison Matrices To Estimate Parameters Of The Partial Credit Rasch Measurement Model For Rater-Mediated Assessments, Mary Garner, George Engelhard Jr.
Using Paired Comparison Matrices To Estimate Parameters Of The Partial Credit Rasch Measurement Model For Rater-Mediated Assessments, Mary Garner, George Engelhard Jr.
Faculty and Research Publications
The purpose of this paper is to describe a technique for estimating the parameters of a Rasch model that accommodates ordered categories and rater severity. The technique builds on the conditional pairwise algorithm described by Choppin (1968, 1985) and represents an extension of a conditional algorithm described by Garner and Engelhard (2000, 2002) in which parameters appear as the eigenvector of a matrix derived from paired comparisons. The algorithm is used successfully to recover parameters from a simulated data set. No one has previously described such an extension of the pairwise algorithm to a Rasch model that includes both ordered …
Multiple Imputation To Correct For Measurement Error In Admixture Estimates In Genetic Structured Association Testing, Miguel A. Padilla, Jamin Divers, Laura K. Vaughan, David B. Allison, Hemant K. Tiwari
Multiple Imputation To Correct For Measurement Error In Admixture Estimates In Genetic Structured Association Testing, Miguel A. Padilla, Jamin Divers, Laura K. Vaughan, David B. Allison, Hemant K. Tiwari
Psychology Faculty Publications
Objectives: Structured association tests ( SAT), like any statistical model, assumes that all variables are measured without error. Measurement error can bias parameter estimates and confound residual variance in linear models. It has been shown that admixture estimates can be contaminated with measurement error causing SAT models to suffer from the same afflictions. Multiple imputation (MI) is presented as a viable tool for correcting measurement error problems in SAT linear models with emphasis on correcting measurement error contaminated admixture estimates. Methods: Several MI methods are presented and compared, via simulation, in terms of controlling Type I error rates for both …