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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