Related Experiment Video
Updated: Jul 28, 2026

19:44
A Tactile Automated Passive-Finger Stimulator (TAPS)
Published on: June 3, 2009
An interactive computer program that accurately estimates the ED50, its standard error and other parameters related
Summary
A new BASIC program efficiently calculates the median effective dose (LD50) and confidence intervals using Finney's method. This conversational tool offers an accurate and fast alternative to traditional graphic methods for toxicological analysis.
Area of Science:
- Toxicology
- Biostatistics
- Computational Biology
Background:
- Accurate determination of the median effective dose (LD50) is crucial for risk assessment and drug development.
- Traditional graphic methods for LD50 calculation can be time-consuming and less precise.
- There is a need for efficient and accessible computational tools in toxicological studies.
Purpose of the Study:
- To develop a user-friendly BASIC program for calculating LD50, error terms, and confidence intervals.
- To implement Finney's algorithm for robust and accurate dose-response analysis.
- To provide an efficient computational alternative to graphic methods for LD50 determination.
Main Methods:
- Development of a conversational-mode program in BASIC language.
- Implementation of Finney's algorithm for LD50 computation.
- Inclusion of calculations for various error terms and confidence intervals.
Main Results:
- The program accurately computes LD50, error terms, and confidence intervals.
- The BASIC program offers high speed and flexibility for terminal usage.
- The developed tool provides an efficient alternative to simple graphic methods.
Conclusions:
- The developed BASIC program is an efficient and accurate tool for LD50 determination.
- Conversational-mode computing offers a practical approach for toxicological data analysis.
- This program enhances the accessibility and speed of dose-response analysis in research settings.
Related Concept Videos
Confidence Intervals
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A confidence...
A confidence...
Prediction Intervals
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
The...
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
The...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
Kaplan-Meier Approach
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Statistical Software for Data Analysis and Clinical Trials
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
Econometric Views (EViews)
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...

