Related Experiment Video
Updated: Aug 9, 2026

A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
The biostatistician in medical research: allocating time and effort
1North Shore University Hospital-Cornell University Medical College, Department of Research & Division of Biostatistics, Manhasset, New York 11030, USA.
Abstract:
Biostatisticians in research juggle many responsibilities: short-term consulting; long-term collaboration; teaching/training, and statistical research. In an institutionally-supported service group, the biostatistician frequently faces allocation of limited resources (time and effort) over multiple projects, none of which individually supports the biostatistician. In addition to the level of support provided by a specific project, there are several major issues with resource allocation: the quality of the science and data in the project; the possibility that long-term support develops from the work; personal and institutional considerations that involve the specific investigator or project. In this paper, we discuss these considerations along with some examples. We present guidelines for making decisions about allocation of time and effort and the possible implications of setting such priorities.
More Related Videos
06:55Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
08:01Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Related Concept Videos
Biostatistics: Overview
Discrete variables are...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Overview of Biostatistics in Health Sciences
Statistical Methods for Analyzing Epidemiological Data
Comparing the Survival Analysis of Two or More Groups
Statistical Software for Data Analysis and Clinical Trials