Description: Chapter 1 presents the background to the current study, followed by the methodology used, and a summary of the findings of the study. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Recent research from Financial Finesse introduces a viable way to forecast the potential return on investment (ROI) of workplace financial wellness programs.

Description: Recent research from Financial Finesse introduces a viable way to forecast the potential return on investment (ROI) of workplace financial wellness programs.

Description: Four appendices are attached to the monograph: a letter requesting information, two letters requesting participation, and a set of general database specifications. From Group Medical Insurance Large Claims Database Collections and Analysis, M-HB97-1.

Description: This paper surveys the actuarial techniques connected with salary scale mathematics for the valuation of defined benefit pension plans. Followed by several discussion papers submitted

Description: The session offers high-level initial steps to get started using R, as well as a list of helpful resources for both general data science and actuarial science with R. Attendees will learn about popular R packages to perform practical tasks such as importing, transforming and visualizing data, as well as packages commonly used by actuaries. You will also be introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of the session, you will be familiar enough with using R and RStudio to begin incorporating these tools in your day-to-day work as an actuary

Description: Life insurance industry use experience studies to manage and monitor their blocks of business. The purpose of this paper is to provide an overview of the data cleansing and validation role specific to the life insurance experience study process.

Description: This paper addresses some pervasive problems in using secondary data in actuarial research. An approach to solving these problems is based on information theory. From Transactions of Society of Actuaries 1995, Vol. 47.

Description: This presentation is a concurrent session from the 1980 Annual Meeting of the Society of Actuaries, held October 20-22 in Montreal. This session was arranged by the American Statistical Association, ‘ASA,’ and the five panelists are biostatisticians, the moderator being the sole actuary. It is the result of efforts by the ASA and SOA to work together and provide sessions at each other’s meetings. The panelists discuss specialized techniques developed for making greater use of noninsurance studies such as medical follow-ups and clinical trial analyses, which may, because of their nature, involve relatively small groups, and compare them with the more traditional actuarial methodology. Discussion from participants is included. From the Record of Society of Actuaries, Volume 6, No. 4.