archive-edu.com » EDU » U » UPENN.EDU

Total: 37

Choose link from "Titles, links and description words view":

Or switch to "Titles and links view".
  • CCEB: Center for Clinical Epidemiology and Biostatistics
    medicine To that end the CCEB and DBE conduct multiple research programs and offer a broad range of clinical research training and research services Public access for dbe med upenn edu The CCEB Website The Biostatistics Research Site Internal access

    Original URL path: https://dbe.med.upenn.edu/ (2016-01-05)
    Open archived version from archive

  • Biostatistics Research @ Penn | Biostatistics Research
    in biology The science of biostatistics encompasses the design of biological experiments especially in medicine and agriculture the collection summarization and analysis of data from those experiments and the interpretation of and inference from the results Wikipedia Biostatistics faculty students and staff are involved in biostatistical methodological research spanning many intellectually diverse areas Areas of research include Bayesian methods causal inference clinical trials clustered data longitudinal data analysis missing data

    Original URL path: https://dbe.med.upenn.edu/biostat-research/ (2016-01-05)
    Open archived version from archive

  • Research | Biostatistics Research
    renal diseases Wearable computing sensors accelerometry and Women s health Current Methodological Research R01s led by Biostatistics faculty include Title Faculty Name Role Statistical Methods for Cancer Absolute Risk Prediction Jinbo Chen PhD PI Genome Wide Association Studies Using Integrated CNV and SNP Information Rui Feng PhD PI Semi parametric Joint Models for Longitudinal and Time to Event Data Wensheng Guo PhD MPI Sarah Ratcliffe PhD MPI Statistical Methods for Estimation of Benefits Harms of Repeat Cancer Screening Rebecca Hubbard PhD PI Selective and Future Ignorability in Causal Inference Marshall Joffe MD MPH PhD PI Joint Analysis of Longitudinal Outcomes Clinical Events in Kidney Disease Tom Greene PhD U Utah MPI Marshall Joffe MD MPH PhD MPI Liang Li PhD Cleveland Clinic MPI Methods for Genomic Data with Graphical Structures Hongzhe Li PhD PI Statistical Methods for Next Generation Sequence Data Hongzhe Li PhD PI Developing Statistical Methods For Disease Gene Discovery Chun Li PhD Vanderbilt U MPI Mingyao Li PhD MPI Statistical Methods for Gene Mapping Studies in Admixed Populations Mingyao Li PhD PI Statistical Methods for Transcriptome Profiling using RNA Sequencing Mingyao Li PhD PI Elucidation of Tissue Specific Transcriptomic Profiles in Cardiometabolic Disease Muredach Reilly MBBCH MSCE MPI Mingyao Li PhD MPI Non Parametric Bayesian Methods for Causal Inference Jason Roy PhD PI Statistical Methods for Large and Complex Databases of Ultra High Dimensional Imaging Russell Taki Shinohara PhD PI Completed Methodological Research R Awards led by Biostatistics faculty include Title Faculty Name Role A Partially Linear Tree Based Regression Model for Assessing Complex Joint Gene G Jinbo Chen PhD PI Statistical Methods in Genetic Epidemiology Research Jinbo Chen PhD PI New Functional Models for Biomedical Data Wensheng Guo PhD PI Automatic Statistical Time Frequency Analysis Wensheng Guo PhD PI Statistical Methods in Smoking Cessation Research Daniel

    Original URL path: https://dbe.med.upenn.edu/biostat-research/research (2016-01-05)
    Open archived version from archive

  • Biostatistics Faculty | Biostatistics Research
    pgimotty mail med upenn edu Research details Wensheng Guo Ph D Professor of Biostatistics wguo mail med upenn edu Research details Google Scholar link Jesse Yenchih Hsu Ph D Assistant Professor of Biostatistics hsu9 mail med upenn edu Rebecca A Hubbard PhD Associate Professor of Biostatistics rhubb at upenn edu Wei Ting Hwang Ph D Associate Professor of Biostatistics whwang mail med upenn edu Marshall Joffe MD MPH Ph D Associate Professor of Biostatistics mjoffe mail med upenn edu J Richard Landis Ph D Professor of Biostatistics jrlandis upenn edu Research details Google Scholar link Hongzhe Li Ph D Professor of Biostatistics hongzhe mail med upenn edu Research details Mingyao Li Ph D Associate Professor of Biostatistics mingyao mail med upenn edu Research details Google Scholar link Yimei Li Ph D Assistant Professor of Biostatistics liy3 email chop edu Russell A Localio JD MA MPH MS Ph D Associate Professor of Biostatistics rlocalio mail med upenn edu Rosemarie Mick MS Senior Research Investigator and Adjunct Associate Professor of Biostatistics rmick at mail med upenn edu Nandita Mitra Ph D Associate Professor of Biostatistics nanditam mail med upenn edu Research details Google Scholar link Knashawn Morales Sc D Associate Professor of Biostatistics knashawn at mail med upenn edu Kathleen Joy Propert Sc D Professor of Biostatistics propert at mail med upenn edu Mary E Putt Sc D Professor of Biostatistics mputt mail med upenn edu Research details Sarah J Ratcliffe Ph D Associate Professor of Biostatistics sratclif at upenn edu Research details Google Scholar link Michelle Elana Ross Ph D Assistant Professor of Biostatistics michross upenn edu Jason Roy Ph D Associate Professor of Biostatistics jaroy mail med upenn edu Research details Google Scholar link Mary D Sammel Sc D Professor of Biostatistics msammel mail med upenn edu Pamela Shaw Ph

    Original URL path: https://dbe.med.upenn.edu/biostat-research/faculty (2016-01-05)
    Open archived version from archive

  • Graduate Programs in Biostatistics | Biostatistics Research
    in 21 months of full time study requires successful completion of a written qualifying exam and a Master s thesis Courses include probability mathematical statistics epidemiology and statistical methods including categorical data analysis linear models multivariate methods survival analysis statistical computing and applied data analysis PhD program The PhD program trains independent researchers who go on to fill leadership roles in the development and application of statistical methods in health research Doctoral students take the courses for the MS program plus at least one additional semester of advanced courses in statistical theory and methods a minor sequence in biomedical science and a choice of advanced electives Students must pass both written and oral qualifying examinations complete an advanced data analysis project write and defend a doctoral dissertation What are some key differences similarities between the PhD and MS degree Both the PhD and MS programs train students in the theory of biostatistics in the application of statistical methods The PhD program trains students to become independent researchers by developing new methods to address statistical problems arising from biomedical research The PhD involves five semesters of coursework successful completion of two exams and research leading to a doctoral dissertation Typically this takes four to five years The MS degree requires four semesters of coursework successful completion of an exam and an MS thesis Typically this takes two years of study At Penn the course sequence for the two degrees is similar Admission to the Program The application deadline for admission in Fall 2016 is December 1 2015 Information and application materials as well as a specific application deadline will be available by October 2015 For further details please visit the admission website http www med upenn edu ggeb BioAdmissions shtml Federally funded training grants are available for US citizens and permanent

    Original URL path: https://dbe.med.upenn.edu/biostat-research/students (2016-01-05)
    Open archived version from archive

  • Postdocs | Biostatistics Research
    Navigation Menu Penn WebLogin Postdocs Currently open postdoctoral fellowships are listed here More information about poctdoctoral programs at the Perelman School of Medicine is available on the Biomedical Postdoctoral Programs website Current postdoctoral fellows within the division are Wanjie Wang

    Original URL path: https://dbe.med.upenn.edu/biostat-research/postdocs (2016-01-05)
    Open archived version from archive

  • Positions Available | Biostatistics Research
    Postdocs You are here Home Navigation Menu Penn WebLogin Positions Available Title Date Posted Biostatistics Faculty Leadership Positions Data Coordinating Center DCC Network Project and Biostatistics Core for the Cancer Center 7 24 2015 Biostatistics Faculty Tenure Track 7 24

    Original URL path: https://dbe.med.upenn.edu/biostat-research/jobs (2016-01-05)
    Open archived version from archive

  • Longitudinal Analysis for Diverse Populations Project | Biostatistics Research
    Papers Working Paper 13 6 Xin Tu Jiameng Zhang Jeanne Kowalski Justine Shults Changyong Feng Wenguang Sun and Wan Tang 2006 Power analysis for longitudinal study designs with missing data Statistics in Medicine 26 15 2958 81 2007 Note Justine Shults was supported by the LADP project The other authors were supported by the following grants and contracts R01 DA012249 AI 51186 and NIH contract N01 AI 50029 7 Justine Shults and Sarah J Ratcliffe Analysis of multi level correlated data in the framework of generalized estimating equations via xtmultcorr procedures in Stata and qls functions in Matlab Statistics and its Interface 2 187 196 2009 An earlier version of this paper is also available 2007 UPenn Biostatistics Working Papers Working Paper 15 Available from Bepress 8 Jichun Xie and Justine Shults Implementation of quasi least squares with the R package qlspack Journal of Statistical Software In press 9 Hanjoo Kim Joseph Hilbe and Justine Shults 2008 On the designation of the patterned associations for longitudinal Bernoulli data Weight matrix versus true correlation structure under review at Biometrika UPenn Biostatistics Working Papers Working Paper 26 Available from Bepress 10 Hanjoo Kim and Justine Shults QLS SAS Macro A SAS macro for Analysis of Longitudinal Data Using Quasi Least Squares Journal of Statistical Software 35 2 2010 An earlier version of this paper is also available 2008 UPenn Biostatistics Working Papers Working Paper 27 Available from Bepress mso border top alt solid windowtext 5pt padding 0 5pt 0in 0in 0in margin left 25in margin right 21 0pt Jump to Abstract Publications Software Presentations Investigators Software Software for this project is described and made available in the following publications By using this software you agree to cite the appropriate publication in any manuscripts To install the software simply unzip the files into the working directory for the analysis Changing to that directory within Stata or Matlab will make the procedures functions available GEEQBOX A Matlab toolbox for implementation of quasi least squares as described in Publication 4 Ratcliffe Shults 2008 Download software and User s Guide in a zip file xtqls Stata procedure for implementation of quasi least squares as described in Publication 5 Shults Ratcliffe Leonard 2007 Download software in a zip file xtmultcorr Stata procedures for the analysis of multi level correlated data as described in Publication 7 Shults Ratcliffe 2007 Download software in a zip file qlspack R package for the analysis of correlated data via quasi least squares as described in Publication 8 Xie Shults 2008 Available on CRAN web site QLS A SAS macro for analysis of longitudinal data via quasi lease squares as described in Publication 10 Kim Shults 2008 Download software in a zip file Please write to jshults at mail med upenn edu Stata jichun at mail med upenn edu R software or sratclif at upenn edu Matlab software to request software for the familial correlation structure mso border top alt solid windowtext 5pt padding 0 5pt 0in 0in 0in margin left 25in margin

    Original URL path: https://dbe.med.upenn.edu/biostat-research/ladp (2016-01-05)
    Open archived version from archive



  •