Longitudinal study designs play an increasingly important role in studies of cancer treatment and prevention. Applications that concern our group include preclinical tumor growth delay experiments in mice, large multi- center cancer chemoprevention trials, and practice-based interventions to improve the provision of preventive services by primary care physicians. Although these studies cover a wide spectrum of research areas in cancer, they share a key statistical feature in that each involves measurement of outcomes for individuals or clusters on two or more occasions. We propose to develop, implement, and apply new statistical methodologies to improve the design and analysis of longitudinal studies in cancer treatment and prevention. Specifically, we plan to extend our previous research on tumor growth curves to develop simple and efficient statistical methods for modeling characteristics of nonlinear growth curves; develop methods to perform sample size calculations for longitudinal prevention studies based on GEE models; develop regression diagnostic methods for longitudinal models; and develop methods to analyze multiple outcomes in cancer treatment and prevention studies. To encourage the successful translation of these techniques into applied research settings, we will develop practical software implementations in a format familiar to investigators in cancer research. We will also integrate the techniques into the analyses of the studies conducted by our group.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
2R01CA052192-04A1
Application #
2094640
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1990-12-07
Project End
1998-06-30
Budget Start
1995-07-01
Budget End
1996-06-30
Support Year
4
Fiscal Year
1995
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Family Medicine
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Robertson, Douglas J; Stukel, Therese A; Gottlieb, Daniel J et al. (2009) Survival after hepatic resection of colorectal cancer metastases: a national experience. Cancer 115:752-9
Demidenko, Eugene; Stukel, Therese A (2005) Influence analysis for linear mixed-effects models. Stat Med 24:893-909
Fisher, Elliott S; Wennberg, David E; Stukel, Therese A et al. (2003) The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care. Ann Intern Med 138:273-87
Fisher, Elliott S; Wennberg, David E; Stukel, Therese A et al. (2003) The implications of regional variations in Medicare spending. Part 2: health outcomes and satisfaction with care. Ann Intern Med 138:288-98
Stukel, T A; Demidenko, E; Dykes, J et al. (2001) Two-stage methods for the analysis of pooled data. Stat Med 20:2115-30
O'Hara, J A; Goda, F; Demidenko, E et al. (1998) Effect on regrowth delay in a murine tumor of scheduling split-dose irradiation based on direct pO2 measurements by electron paramagnetic resonance oximetry. Radiat Res 150:549-56
Tosteson, T D; Buonaccorsi, J P; Demidenko, E (1998) Covariate measurement error and the estimation of random effect parameters in a mixed model for longitudinal data. Stat Med 17:1959-71
Stukel, T A; Demidenko, E (1997) Two-stage method of estimation for general linear growth curve models. Biometrics 53:720-8
Stukel, T A; Glynn, R J; Fisher, E S et al. (1994) Standardized rates of recurrent outcomes. Stat Med 13:1781-91
Stukel, T A (1993) Comparison of methods for the analysis of longitudinal interval count data. Stat Med 12:1339-51