# BIOSTATISTICAL METHODS FOR CARCINOGENICITY EXPERIMENTS

> **NIH NIH R01** · HARVARD MEDICAL SCHOOL · 1987 · $75,897

## Abstract

This proposal aims to undertake research on statistical problems arising in
carcinogenicity experiments.  The research program falls into four general
categories:  (1) analysis of carcinogenicity experiments when risks from
intercurrent death do not act independently of the process tumor
development; (2) the use of isotonic regression techniques in
carcinogenicity testing and low-dose extrapolation; (3) the assessment of
and adjustment for litter effects in time-to-tumor analyses; (4)
exploratory analyses of the ED01 data base.  The long range objectives of
the proposal are to permit more efficient and sensitive analyses of
carcinogenicity experiments through (i) a better understanding of the
process of tumor development and subsequent death from tumor or other
causes; (ii) a better understanding of the statistical methods used in
carcinogenicity experiments, particularly when assumptions concerning tumor
lethality, independence of risks, and classification of cause of death are
violated and (iii) the development of statistical methods for situations
where existing techniques are either inappropiate or make inefficient use
of the data.

## Key facts

- **NIH application ID:** 3170973
- **Project number:** 5R01CA033041-06
- **Recipient organization:** HARVARD MEDICAL SCHOOL
- **SAM.gov UEI:** JDLVAVGYJQ21
- **Principal Investigator:** Stephen W. Lagakos
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 1987
- **Award amount:** $75,897
- **Award type:** 5
- **Project period:** 1982-07-01 → 1988-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/3170973

## Citation

> US National Institutes of Health, RePORTER application 3170973, BIOSTATISTICAL METHODS FOR CARCINOGENICITY EXPERIMENTS (5R01CA033041-06). Retrieved via MORVS 2026-10-25 from https://api.morvs.ai/grant/nih/3170973. Licensed CC0.

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