Description: Complete listing of the tables used in the study to analyze the research data. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Presented at October 1985 Annual Meeting. Discusses the outlook for U.S. government statistics after budget costs and restraints, statistics of income, outlook for linked studies among the different agencies, plans for a 1987 National Medical Expenditures Survey, and the use of government statistics in marketing studies.

Description: Chapter 8 analyzes, in table form, exposure in relation to status, gender, age range, and deductible level. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

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: Chapter 6 analyzes, in table form, the study's hospital and non-hospital charges and claimant counts in relation to deductible and broken down by plan design type. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: This session discussion is health databases, outcomes research, treatment protocol development, ambulatory utilization, SOA Experience Committee activities, and responding to employer demands for data. From Record of Society of Actuaries Vol. 19, No. 1B.

Description: Chapter 3 analyzes, in table form, the study's claimant counts and charge totals, broken down by plan design type, gender, age, year, and by subscriber vs. dependent. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Chapter 7 analyzes, in table form, the study's claimant counts & charges per claimant in relation to deductible and broken down by diagnosis category. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.

Description: Because data quality is critical in the measurement of an event as rare as the death of a supercentenarian, special care must be used. We will discuss practical methods of validation used by researchers in the field, alternate methodologies and data cleaning procedures to ensure validity of mortality data as extreme old age. We will also explore some of the consequences of inadequate data preparations on the curve of mortality at the end of life.

Description: Chapter 4 analyzes, in table form, the study's claimant counts and charges in excess of deductible, broken down by deductible level, geographic region, age, gender, and subscriber vs. dependent status. From Group Medical Insurance Large Claims Database Collection and Analysis, M-HB97-1.