Related Experiment Video
Updated: Feb 15, 2026

Strategies for Tracking Anastasis, A Cell Survival Phenomenon that Reverses Apoptosis
Published on: February 16, 2015
Healthy Worker Effect Phenomenon: Revisited with Emphasis on Statistical Methods - A Review
Ritam Chowdhury1,2, Divyang Shah3, Abhishek R Payal4
1Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.
Abstract:
Known since 1885 but studied systematically only in the past four decades, the healthy worker effect (HWE) is a special form of selection bias common to occupational cohort studies. The phenomenon has been under debate for many years with respect to its impact, conceptual approach (confounding, selection bias, or both), and ways to resolve or account for its effect. The effect is not uniform across age groups, gender, race, and types of occupations and nor is it constant over time. Hence, assessing HWE and accounting for it in statistical analyses is complicated and requires sophisticated methods. Here, we review the HWE, factors affecting it, and methods developed so far to deal with it.
More Related Videos
08:53Preparation of Single-cohort Colonies and Hormone Treatment of Worker Honeybees to Analyze Physiology Associated with Role and/or Endocrine System
Published on: September 6, 2016
09:01Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
Published on: April 4, 2017
Related Concept Videos
Tip-of-the-Tongue Phenomenon
Statistical Significance
Statistical Methods for Analyzing Epidemiological Data
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview