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  • Predicting Return to Work with Data Mining
    Predicting Return to Work with Data Mining One of the first projects undertaken by Claim Analytics was to create a model to predict return to work for group insurance claimants with long term ...

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    • Authors: Barry D Senensky,
    • Date: Jan 2004
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>External forces and business performance
    • Topics: Health & Disability>Chronic health management - Health & Disability; Health & Disability>Disability insurance; Health & Disability>Disability tables; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Markov Chain; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Simulation
  • Analyzing Recent Experience on FHA Investor Loans
    Analyzing Recent Experience on FHA Investor Loans This work describes a study undertaken to determine whether the Federal Housing Administration's 'FHA' single-family-home ...

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    • Authors: Thomas Herzog
    • Date: Oct 1988
    • Competency: External Forces & Industry Knowledge>External forces and business performance; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Transactions of the SOA
    • Topics: Modeling & Statistical Methods>Bayesian methods; Public Policy
  • Book Reviews and Notices
    Book Reviews and Notices This section contains multiple book reviews and notices concerning the actuarial profession. Reviews: 'Medical Risks: Patterns of Mortality and Survival' by ...

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    • Authors: Society of Actuaries
    • Date: Oct 1977
    • Competency: External Forces & Industry Knowledge>External forces and business performance; Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Health & Disability>Disability insurance; Health & Disability>Health risks; Modeling & Statistical Methods>Stochastic models; Pensions & Retirement; Pensions & Retirement>Funding; Social Insurance>Social Security