Journal Article10.1080/01621459.1944.10500699
Application of the Logistic Function to Bio-Assay
971
TL;DR: It is shown here how the Logistic Function can be applied to Bio-Assay to provide real-time information on the response of a drug to an experimental substance.
read more
Abstract: (1944). Application of the Logistic Function to Bio-Assay. Journal of the American Statistical Association: Vol. 39, No. 227, pp. 357-365.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Analyze mass spectrometry data with artificial intelligence to assist the understanding of past habitability of Mars and provide insights for future missions
TL;DR: This paper presents an application of artificial intelligence on mass spectrometry data for detecting habitability potential of ancient Mars and demonstrates the applicability of EGA-MS and GC-MS data to extra-terrestrial material analysis.
Optimizing the demand captured by a railway system with a regular timetable
Roberto Cordone,F. Redaelli +1 more
TL;DR: A branch-and-bound algorithm based on a piecewise-linear overestimate of the objective function and a heuristic algorithm which iteratively applies the standard fixed-demand model and a demand-estimation model result in a mixed-integer non linear model with a non-convex continuous relaxation.
General models for quantal response to the joint action of a mixture of drugs
J. R. Ashford,C. S. Smith +1 more
TL;DR: In this paper, a mathematical model for the representation of the joint action of mixtures of drugs is proposed, in which the effect of the mixture on a given physiological system is expressed as the difference between a function of the doses of the drugs (the effect function) and the tolerance of the particular system.
Long-Term-Based Road Blackspot Screening Procedures by Machine Learning Algorithms
Nicholas Fiorentini,Massimo Losa +1 more
TL;DR: A road blackspot screening procedure for two-lane rural roads, relying on five different machine learning algorithms (MLAs) and real long-term traffic data, which shows that the Random Forest outperforms the other MLAs with an overall accuracy of 73.53%.
References
The calculation of the dosage-mortality curve
TL;DR: It is shown that when dosage is inferred from the observed mortality on the assumption that susceptibility is distributed normally, such inferred dosages, in terms of units called probits, give straight lines when plotted against the logarithm of their corresponding observed dosages.
1.1K
•Book
Introduction to medical biometry and statistics
Raymond Pearl
- 14 Jul 2012
TL;DR: Introduction to Medical Biometry and Statistics is an attempt to make available a simple exposition of the elementary principles of the subject for those biologists and medical men who have had no special mathematical training, and yet find it necessary to use modern biometric methods in their work.
162