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 Experiment Videos

Dispersion models and longitudinal data analysis.

B Jorgensen1, M Tsao

  • 1Department of Statistics, The University of British Columbia, Vancouver, B.C., V6T 1Z2 Canada. bentj@statdem.ou.dk

Statistics in Medicine
|September 4, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Novel germline genetic variants associated with venous thrombo-embolism (VTE) and arterial thrombo-embolism (ATE) risk in patients with ALK and ROS1 fusion non-small cell lung cancer (NSCLC).

Thrombosis research·2026
Same author

Contrast Enhanced CT Radiogenomics in a Retrospective NSCLC Cohort: Models, Attempted Validation of a Published Model and the Relevance of the Clinical Context.

Academic radiology·2024
Same author

Accelerated Hypofractionated Radiotherapy for Centrally Located Lung Tumours Not Suitable for Stereotactic Body Radiotherapy or Chemoradiotherapy.

Clinical oncology (Royal College of Radiologists (Great Britain))·2022
Same author

Efficacy of Prophylactic Radiotherapy in the Treatment of Heterotopic Ossification.

Clinical oncology (Royal College of Radiologists (Great Britain))·2018
Same author

Does the Time of Radiotherapy Affect Treatment Outcomes? A Review of the Literature.

Clinical oncology (Royal College of Radiologists (Great Britain))·2016
Same author

The Diabetic Foot in a Multidisciplinary Team Setting. Number of Amputations below Ankle Level and Mortality.

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association·2016
Same journal

Interpretable Bayesian Modeling for Multireader Multicase Studies: Addressing Overdispersion and Limited Sample Size in Diagnostic Enhancement Evaluation.

Statistics in medicine·2026
Same journal

Adaptive Sequential Multiple Hypotheses Testing for Concomitant Vaccine Safety Surveillance.

Statistics in medicine·2026
Same journal

Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.

Statistics in medicine·2026
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
See all related articles

Dispersion models offer flexible, non-normal distributions for biostatistics, handling diverse data types. Recent applications in longitudinal analysis include state space models for medical and growth data.

Area of Science:

  • Biostatistics
  • Statistical Modeling

Background:

  • Dispersion models are versatile non-normal distributions.
  • They accommodate continuous, discrete, and mixed data types.
  • Generalized Estimating Equations (GEE) provide a foundation for their application.

Purpose of the Study:

  • To review recent applications of dispersion models in longitudinal data analysis.
  • To explore their use in medical and growth curve modeling.
  • To integrate multivariate response variables of mixed types.

Main Methods:

  • Utilizing Liang and Zeger's generalized estimating equation method.
  • Applying state space models based on Tweedie exponential dispersion models.
  • Incorporating time-varying covariates to model latent processes.

Related Experiment Videos

Main Results:

  • Demonstrated flexibility in modeling longitudinal data.
  • Enabled interpretation of latent processes as unobserved morbidity or growth.
  • Integrated multiple mixed-type response variables (symptoms) into a single model.

Conclusions:

  • Dispersion models are powerful tools for complex longitudinal data analysis.
  • Their application in state space models offers novel insights in biostatistics.
  • The integrated approach handles multivariate, mixed-type responses effectively.