TRANSFER OF NEW BIOSTATISTIC METHODS TO CANCER EPIDEMIOLOGY

NIH GUIDE, Volume 21, Number 29, August 14, 1992



RFA:  CA-92-21



P.T. 34



Keywords:

  Cancer/Carcinogenesis 

  Epidemiology 

  Statistics 



National Cancer Institute



Letter of Intent Receipt Date:  September 30, 1992

Application Receipt Date:  November 12, 1992



This erratum is to correct the following sections of the Request for

Applications (RFA) that was distributed via the E-Guide, Vol. 21, No.

27, July 31, 1992.  The corrected sections are as follows:



MECHANISM OF SUPPORT



This program will be supported through National Institutes of Health

(NIH) traditional research project grants (R01).  responsibility for

the planning, direction, and execution of the proposed research will be

solely that of the applicant.  Awards will be administered under PHS

grants policy as stated in the PHS Grants Policy Statement, DHHS

Publication No. (OASH) 82-50,000 revised October 1, 1990.



The RFA is a one-time solicitation.  The total project period for

applications submitted in response to the present RFA may not exceed

three years.  Competitive continuation applications will compete with

all other unsolicited applications and be reviewed by Division of

Research Grants (DRG) study sections.  If the NCI determines that there

is a sufficient continuing program need,the NCI may announce a request

for renewal applications.



RESEARCH OBJECTIVES



Background



A decade or two ago, a biometry textbook, a medical statistics book,

and an understanding of the basic principles of statistics provided

applied biostatisticians with sufficient experimental designs and

methodologic techniques to analyze most problems encountered in cancer

research.  Meanwhile, theoretical statisticians explored statistical

problems of general interest without focussing on specific

applications.  Advances in biotechnology and high-speed computing tools

have driven the development of specialties and even subspecialties in

biostatistics.  Advances have been made in methods for analyzing cancer

survival data, understanding data with missing elements, allowing for

errors in variables, fitting random effects models, and utilizing the

bootstrap and other computationally intensive technologies.  Most of

this material is available only in technical journals and specialized

textbooks on theoretical statistics



REVIEW CONSIDERATIONS



The first bullet under the review criteria should read:



o  extent to which application addresses research objectives of the

RFA;



AWARD CRITERIA



The earliest anticipated date of award is July 1, 1993.



.

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