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Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

146
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
146
Life Tables01:22

Life Tables

234
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
234
Applications of Life Tables01:22

Applications of Life Tables

136
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
136
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

215
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.
215
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

296
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
296
Survival Curves01:18

Survival Curves

370
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
370

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Related Experiment Videos

Suicide and Life Insurance.

Alan L Berman, Morton M Silverman, Hal S Wortzel

    Journal of Psychiatric Practice
    |January 6, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Life insurance suicide exclusion clauses can stigmatize death by suicide and financially burden grieving families. Re-evaluating these clauses is crucial for balancing insurer risk with survivor support.

    Related Experiment Videos

    Area of Science:

    • Forensic Psychology
    • Insurance Law
    • Sociology of Mental Health

    Background:

    • Societal condemnation has historically stigmatized suicide, impacting cultural perceptions.
    • Life insurance policies often include suicide exclusion clauses, denying benefits if death occurs within a specific period.
    • These clauses aim to limit insurer risk and prevent fraudulent claims.

    Purpose of the Study:

    • To examine the rationales behind life insurance suicide exclusion clauses.
    • To assess the impact of these clauses on survivors of suicide.
    • To question the reasonableness of current exclusionary time frames.

    Main Methods:

    • Review of historical societal attitudes towards suicide.
    • Analysis of life insurance policy exclusion clauses.
    • Examination of insurer and survivor perspectives.
    • Consideration of forensic expert roles in suicide-related cases.

    Main Results:

    • Suicide exclusion clauses contribute to the stigmatization of suicide.
    • The number of suicides within exclusion periods is relatively low.
    • These clauses impose significant financial and emotional burdens on bereaved families.
    • There is a need to balance insurer risk management with the needs of survivor-beneficiaries.

    Conclusions:

    • Current suicide exclusion time frames in life insurance may be unreasonable.
    • Forensic experts should consider competing perspectives and promote suicide postvention.
    • A more compassionate and equitable approach to life insurance and suicide loss is warranted.