Abstract

It is planned to carry out an extensive investigation of several areas of statistical methodology for the design and analysis of experimental studies, planned or observational, applicable to various areas of health research including cancer, toxicology, environmental health and epidemiology. The objective is to provide more efficient statistical methods to achieve valid conclusions at less cost in terms of time and sample size. Among the problem areas to be considered are sequential methods for clinical trials (including early stopping, interim analyses and """"""""repeated confidence intervals""""""""), statistical design and analysis of animal survival/sacrifice experiments, and general statistical problems related to the analysis of survival data.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM028364-05
Application #
3275681
Study Section
(SSS)
Project Start
1981-02-01
Project End
1987-01-31
Budget Start
1985-02-01
Budget End
1986-01-31
Support Year
5
Fiscal Year
1985
Total Cost
Indirect Cost

  Institution

Name
Cornell University
Department
Type
DUNS #
City
Ithaca
State
NY
Country
United States
Zip Code
14850

  Publications

Waller, L A; Turnbull, B W; Gustafsson, G et al. (1995) Detection and assessment of clusters of disease: an application to nuclear power plant facilities and childhood leukaemia in Sweden. Stat Med 14:3-16
Natarajan, R; Turnbull, B W; Slate, E H et al. (1994) A computer program for the statistical analysis of repeated event data using a mixed effects regression model. Comput Methods Programs Biomed 42:283-94
Jennison, C; Turnbull, B W (1993) Sequential equivalence testing and repeated confidence intervals, with applications to normal and binary responses. Biometrics 49:31-43
Jennison, C; Turnbull, B W (1993) Group sequential tests for bivariate response: interim analyses of clinical trials with both efficacy and safety endpoints. Biometrics 49:741-52
Waller, L A; Turnbull, B W (1993) The effects of scale on tests for disease clustering. Stat Med 12:1869-84
McShane, L M; Turnbull, B W (1992) Optimal checking procedures for monitoring laboratory analyses. Stat Med 11:1343-57
McShane, L M; Clark, L C; Combs Jr, G F et al. (1991) Reporting the accuracy of biochemical measurements for epidemiologic and nutrition studies. Am J Clin Nutr 53:1354-60
Turnbull, B W; Iwano, E J; Burnett, W S et al. (1990) Monitoring for clusters of disease: application to leukemia incidence in upstate New York. Am J Epidemiol 132:S136-43