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Regression analysis is a statistical tool to study the relationship between variables. These variables are the outcome variable and one or more exposure variables. In other words, regression analysis is an equation which predicts a response from the value of a certain predictor.
regressions in supervised learning, Supervised learningMonte Carlo simulation is an extension of statistical analysis where simulated data is produced. This method uses repeated sampling techniques to generate simulated data.
estimation in supervised learning, Supervised learning, trend analysisDescriptive epidemiology refers to analyzing the existing trends of a disease epidemic. The study is conducted with respect to time, place and persons (Aschengrau and Seage, 2013).
Biostatistics in epidemiological studies, epidemiology, Statistics in epidemiologyForecasting models help detect future epidemics using related factors like environment, vector density or socioeconomic factors. In this article, the role of forecasting models in epidemiology is explained.
Biostatistics in epidemiological studies, epidemiology, Modelling in epidemiologyIn recent years, big data has become a buzz word for them who are relying on digital technologies as it allows storage and analysis of massive data. Here, big data includes both structured and unstructured data sets which require processing capabilities of modern tools. One of the most popular tools to handle big data is Advanced Excel […]
Data envelopment analysis (DEA) is the most commonly used program for this purpose (Coelli, 2008). Tim Coelli from of University of New England (Centre for Efficiency and Productivity Analysis, Department of Econometrics, Australia) had uploaded the program in DOS based command which is in a zipped format along with guidelines on how to use it.
DEA module, getting started with DEAThe normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.
analyse with SPSS, empirical analysis with econometrics, other tests spss, regression with SPSS, spss procedure