Skip to main content

The Prevention and Treatment of Missing Data in Clinical Trials (2010) / Chapter Skim
Currently Skimming:

Appendix B: Biographical Sketches of Panel Members and Staff
Pages 139-144

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 139...
... is a senior program officer for the Committee on National Statistics where he directs studies involving statistical methodology, in particular on defense system testing and decennial census methodology. Formerly, he was a mathematical statistician at the Energy Information Administration, an assistant professor in the School of Public Affairs at the University of Maryland, and a visiting lecturer in the Department of Statistics at Princeton University.
Read the entire page →
From page 140...
... in mathematical statistics from Harvard University. KAY DICKERSIN is director of the Center for Clinical Trials at the Bloomberg School of Public Health and professor in the Department of Epidemiology, both at Johns Hopkins School of Public Health.
Read the entire page →
From page 141...
... CONSTANTINE FRANGAKIS is associate professor in the Department of Biostatistics in the Bloomberg School of Public Health at Johns Hopkins University. His areas of research include the development of designs and methods of analyses to evaluate treatments in medicine, public health and policy (causal inference)
Read the entire page →
From page 142...
... She is also a visiting professor in the Department of Biostatistics at the Harvard School of Public Health, where she previously held faculty positions. Her areas of research include inference with missing data, causal inference from observational studies with time dependent treatment and confounders, analysis of clinical trials with noncompliance, recovery of information from surrogate marker data in clinical trials, analysis of informatively censored data, and semiparametric efficiency theory.
Read the entire page →
From page 143...
... DANIEL SCHARFSTEIN is a professor and director of the graduate program in the Department of Biostatistics in the Bloomberg School of Public Health at Johns Hopkins University. His research interests focus on inferences about population parameters when they are not estimable from observed data without the imposition of strong, untestable assumptions.
Read the entire page →
From page 144...
... HAL STERN is professor and chair of the Department of Statistics at the University of California at Irvine. Previously, he held faculty positions at Harvard University and at Iowa State University, where he directed graduate studies and held the Laurence H
Read the entire page →

Key Terms

  • missing data
  • research include
  • held faculty
  • faculty positions
  • causal inference

  • bloomberg school
  • harvard school
  • held positions
  • brown university
  • mathematical statistics

  • buenos aires
  • handling missing
  • statistical inferences
  • previously held
  • cancer research

  • ogy research
  • royal statistical
  • statistical models
  • clinical trial
  • randomized clinical

  • statistical association
  • statistical consulting
  • statistical society
  • include statistical
  • statistical sciences

  • memorial faculty
  • therapeutics research
  • controlled clinical
  • symptom management
  • prognostics models


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.