Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.9K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.9K
Censoring Survival Data01:09

Censoring Survival Data

688
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
688
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.8K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.8K
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

705
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
705
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

777
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:
777
Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

363
The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response...
363

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cognitive appraisal processes and health: from bench to bedside.

Frontiers in public health·2026
Same author

Exemplifying a measurement validation strategy for rare- and ultra-rare diseases: measuring what matters in alpha-mannosidosis.

Orphanet journal of rare diseases·2026
Same author

Toward characterizing brain fog in long COVID: correlates and impact on measurement metrics.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same author

A pragmatic application with clear personal impact.

The lancet. Healthy longevity·2025
Same author

Long-COVID symptom burden and the experience of adversity: the importance of response-shift effects over 3 years of the pandemic.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2025
Same author

Opioid-use disorder and reported pain after spine surgery: Risk-group patterns in cognitive-appraisal processes in a longitudinal cohort study.

North American Spine Society journal·2025
Same journal

Correction: Needs and health-related quality of life domains relevant to people in Europe with advanced cancer in need of palliative care: a systematic review of qualitative research.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same journal

Quality of life dynamics in the gastric cancer dyad: an actor-partner interdependence model analysis guiding the development of a family-centered nursing framework.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same journal

Correction: Self-stigma and suicide risk mediates the associations of inattention/impulsivity symptoms with psychological distress and quality of life among people with schizophrenia.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same journal

A methodological overview of new measure development for the Limb Injury Measurement Battery for Quality of Life (LIMB-QOL).

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same journal

Overview of the limb injury measurement battery for quality of life (LIMB-QOL).

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
Same journal

Agreement between the EQ-5D-5L anxiety/depression dimension and GAD-7/PHQ-9 for psychological distress assessment in patients with hematologic malignancies.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026
See all related articles

Related Experiment Video

Updated: Apr 27, 2026

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

13.9K

Method variation in the impact of missing data on response shift detection.

Carolyn E Schwartz1, Tolulope T Sajobi, Mathilde G E Verdam

  • 1DeltaQuest Foundation, Inc, Concord, MA, USA, carolyn.schwartz@deltaquest.org.

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|July 11, 2014
PubMed
Summary
This summary is machine-generated.

Missing data in longitudinal quality-of-life research can bias results. Different methods for handling missing data yield varied conclusions on detecting response shifts (RS), with item-response theory (IRT) showing more effects.

More Related Videos

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

7.7K
The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice
09:15

The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice

Published on: February 4, 2015

27.4K

Related Experiment Videos

Last Updated: Apr 27, 2026

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

13.9K
New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

7.7K
The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice
09:15

The Attentional Set Shifting Task: A Measure of Cognitive Flexibility in Mice

Published on: February 4, 2015

27.4K

Area of Science:

  • Longitudinal data analysis
  • Psychometrics
  • Health outcomes research

Background:

  • Missing data in longitudinal studies, due to attrition or item non-response, can bias estimates and reduce statistical power.
  • The impact of missing data on detecting response shifts (RS) in quality-of-life (QOL) research is not well understood.
  • This article synthesizes findings on how missing data patterns affect RS detection in incomplete longitudinal data.

Purpose of the Study:

  • To review and synthesize the impact of missing data on response shift (RS) detection across different analytical methods.
  • To compare the performance of three distinct methods in identifying RS under various missing data conditions.
  • To provide insights into the challenges posed by missing data in longitudinal QOL research.

Main Methods:

  • Relative importance analysis for reprioritization RS in stroke caregivers, using imputation.
  • Structural Equation Modeling (SEM) for recalibration, reprioritization, and reconceptualization RS in cancer patients, using attrition-based multi-group analysis.
  • Item-Response Theory (IRT) models compared to SEM for recalibration and reprioritization RS in chronic disease patients, utilizing probabilistic analysis robust to missingness.

Main Results:

  • Relative importance analyses were sensitive to missing data type and imputation method; multiple imputation amplified RS effects.
  • Attrition-based multi-group SEM revealed differential QOL changes and RS effects across attrition strata, enhancing interpretation.
  • IRT models detected more recalibration and reprioritization RS effects than SEM, potentially due to IRT's robustness to missing data.

Conclusions:

  • Missing data imputation methods yield divergent conclusions on reprioritization RS detection.
  • Attrition-based SEM highlighted varying recalibration and reprioritization RS effects by attrition group.
  • Future research should employ simulation studies to definitively assess the impact of missing data on RS detection across different types and amounts of missingness.