The Pathologist Workforce in the United States: II. An Interactive Modeling Tool for Analyzing Future Qualitative and

Stanley J Robboy, Saurabh Gupta, James M Crawford

  • 1From the Department of Pathology, Duke University Medical Center, Durham, North Carolina (Dr Robboy); The Smart Cube, Noida, India (Mr Gupta); the Department of Pathology and Laboratory Medicine, North Shore-Long Island Jewish Health System, Manhasset, New York (Dr Crawford); the Department of Pathology, Huntsman Cancer Hospital, University of Utah, Salt Lake City (Dr Cohen); the Department of Pathology, George Washington University, Washington, DC (Dr Karcher); the Department of Pathology, University of Vermont College of Medicine, Burlington (Dr Leonard); the Department of Pathology, Tufts University School of Medicine, Boston, Massachusetts (Dr Magnani); Novis Consulting, Lee, New Hampshire (Dr Novis); the Department of Pathology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York (Dr Prystowsky); the Department of Pathology and Genomic Medicine, The Methodist Hospital, Houston, Texas (Dr Powell); Policy Roundtable, College of American Pathologists, Washington, DC (Dr Gross); the Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston (Dr Black-Schaffer).

Abstract

Related Concept Videos

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
323
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
696
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
916