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Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Archival Research01:40

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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...

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Related Experiment Video

Updated: Jul 3, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Using administrative data for longitudinal substance abuse research.

Elizabeth Evans1, Christine E Grella, Debra A Murphy

  • 1UCLA Integrated Substance Abuse Programs, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90025, USA. laevans@ucla.edu

The Journal of Behavioral Health Services & Research
|August 6, 2008
PubMed
Summary
This summary is machine-generated.

Administrative data offers valuable insights for longitudinal substance abuse research, aiding in understanding service access, outcomes, and costs over time. Despite limitations, it enhances long-term investigations into substance use disorders.

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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

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Published on: May 31, 2019

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

  • Public Health
  • Health Services Research
  • Substance Abuse Research

Background:

  • Administrative data use in substance abuse research is increasing.
  • Longitudinal studies are crucial for understanding long-term trends in substance abuse.

Purpose of the Study:

  • To synthesize recent research on using administrative data for longitudinal substance abuse studies.
  • To evaluate the advantages and disadvantages of administrative data in this field.

Main Methods:

  • Selective review of 31 recent articles.
  • Analysis focused on four key areas: service access/utilization, underrepresented populations, treatment outcomes, and cost analysis.

Main Results:

  • Administrative data provide valuable information for longitudinal substance abuse research.
  • Key research areas include service access, underrepresented groups, treatment results, and cost analysis.
  • Longitudinal analysis using administrative data is beneficial for studying service system interactions.

Conclusions:

  • Administrative data, despite limitations, are a valuable resource for longitudinal substance abuse research.
  • This review encourages innovative future applications of administrative data for long-term studies.
  • Further research can leverage administrative data to better understand substance abuse trajectories and interventions.