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Related Concept Videos

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...
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.
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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...
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...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Censoring Survival Data01:09

Censoring Survival Data

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 reasons...

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Related Experiment Video

Updated: May 8, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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Published on: January 8, 2020

Suicides among military conscripts between 1991-2007 in Finland--a descriptive replication study.

Tanja Laukkala1, Timo Partonen, Mauri Marttunen

  • 1Tanja Laukkala, M.D., Ph.D., Chief Psychiatrist, Field Medicine Services Unit, Centre for Military Medicine, Finnish Defence Forces , PO Box 50 FI-00301 Helsinki , Finland.

Nordic Journal of Psychiatry
|August 21, 2013
PubMed
Summary

Suicide remains high among Finnish conscripts. Most suicides occurred during leave, with many victims having recent contact with military healthcare, highlighting a need for proactive mental health assessments.

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Area of Science:

  • Military medicine
  • Public health
  • Suicidology

Background:

  • Suicide rates among young Finnish individuals are notably high compared to other European nations.
  • Suicide is a significant cause of death within the Finnish military conscript population.

Purpose of the Study:

  • To investigate the characteristics of all suicides among Finnish conscripts between 1991 and 2007.
  • To analyze patterns and risk factors associated with suicide in this demographic.

Main Methods:

  • A record-based study analyzing healthcare records during military service.
  • Inclusion of medicolegal investigation data, including autopsy reports of suicide victims.

Main Results:

  • Of 48 conscript suicides, 75% occurred during leave.
  • Common methods included shooting (14% with service guns), hanging, and jumping.
  • One-third of victims had healthcare contact in the week prior to suicide, two-thirds in the preceding month.

Conclusions:

  • Healthcare providers should actively screen for suicidal ideation in conscripts with identified risk factors.
  • Proactive mental health interventions are crucial for military personnel.