Quantitative assessment of a lung tumour treatment using a multiple regression spline model

1 January 1987

journal article
research article
Published by Taylor & Francis in Journal of Applied Statistics

Vol. 14 (3) , 269-273
https://doi.org/10.1080/02664768700000031

Abstract

A linear multiple regression model is fitted to a tumour volume time series. The slope parameters are used to estimate the expected lifetime extension/reduction as an unambiguous index of treatment effect.

Keywords

This publication has 5 references indexed in Scilit:

Splines as a Useful and Convenient Statistical Tool
The American Statistician, 1979
Correlated Residuals in Non-Linear Regression Applied to Growth Data
Journal of the Royal Statistical Society Series C: Applied Statistics, 1979
On Fieller's Theorem and the General Linear Model
The American Statistician, 1978
Rates of Growth of Pulmonary Metastases and Host Survival
Annals of Surgery, 1964
On the origin of tar tumours in mice, whether from single cells or many cells
The Journal of Pathology and Bacteriology, 1935