Modern statistical methods in chronic disease epidemiology: Proceedings

Conference · Wed Jan 01 04:00:00 EST 1986

OSTI ID:5849294

Moolgavkar, S H; Prentice, R L ^[1]

---

1. eds.

Since the publication of Mantel and Haenszel's pioneering paper in 1959, has seen a veritable explosion of statistical methodology in chronic disease epidemiology. The central methodologic issues revolve around environmental and genetic risk assessment, and risk extrapolation. The tenth Research Application Conference held under the auspices of SIMS brought together experts from around the world to discuss the theory and applications of statistical methods in chronic disease epidemiology. This volume represents the proceedings of that conference. Relative risk regression models provide flexible and powerful tools for the analysis of epidemiologic data. These models have been the objects of intense study in the past several years, and it seems reasonable to predict that relative risk regression methods will become a, or perhaps, the, central analytical tool in chronic disease epidemiology. Thus, a major emphasis of the conference was on relative risk regression, and various papers in this volume deal with time-dependent covariates, new study designs, multivariate failure time data, methods of model criticism, parameter transformations for optimal inference, and issues in matching, covariate adjustment, and incomplete and missing covariate information.

• Research Organization: Society for Industrial and Applied Mathematics (SIAM), New Canaan, CT (USA). Inst. for Mathematics and Society
• DOE Contract Number: FG02-85ER60283
• OSTI ID: 5849294
• Report Number(s): DOE/ER/60283-1; CONF-8506374-; ON: TI88000380
• Country of Publication: United States
• Language: English

Related Subjects

550900* -- Pathology
552000 -- Public Health
59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS
ABSTRACTS
DISEASES
DOCUMENT TYPES
EPIDEMIOLOGY
LEADING ABSTRACT
MATHEMATICS
MEETINGS
NEOPLASMS
REGRESSION ANALYSIS
RISK ASSESSMENT
STATISTICS