All articles by Priya Chetty

Analysis and interpretation of results using meta analysis

The previous article illustrated the manual data entry procedure to facilitate data analysis for performing meta-analysis in comprehensive meta analysis (CMA) application. Taking it further the present article introduces procedures of analyzing the entered data and interpretation of the results. The article will introduce the results and analysis interface to probe the association of Cholecystitis with gallbladder carcinoma. Read more »

Interpretation of results of meta analysis on different types of plot

The previous articles provided an introduction to the results and analysis interface. This module now proceeds towards the interpretation of results. The meta-analysis results involve basic summary statistics, forest plots and model statistics. Besides these, also funnel plot can be obtained to study publication bias amongst the studies in the analysis. Read more »

Importing and loading of data in CMA

This article helps in importing and loading data from other programs such as Ms-Excel. Furthermore, it will take up the case example of Cholecystitis and gallbladder carcinoma illustrated in manual data entry procedure. This feature allows to easily transfer data from other programs. Read more »

Performing manual data entry in CMA spreadsheet

Following the discussion on the significance of effect sizes, and selecting suitable data entry formats, this next step is to understand different software functionalities through appropriate case studies. The present article introduces the procedures of manual data entry in a spreadsheet through a case study. Read more »

Computing meta analysis with different effect size with CMA

The discussion surrounding meta analysis has effect size at the prime spot. It is the magnitude or size of an effect and usually refers to treatment effect in comprehensive meta analysis (CMA). For any given study the effect size cannot be constrained to a single index or measure. The article will introduce the concept of different effect size measures. Read more »

Data entry formats in CMA

The earlier article (Introduction to CMA) gave a brief overview of the various functionalities offered by the CMA software. This article acquaints the user with the procedure of selecting appropriate data entry formats. Read more »

How to conduct survival analysis?

Survival analysis is a method under predictive modeling where the dependent variable is time. Therefore, it involves time-to-event prediction modeling. The methodology is that the outcome variable is time until the occurrence of a certain event. The response of the event is known as the survival time, failure time or event time. Read more »

How to perform nonlinear regression?

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. In a linear regression analysis model the regression function µY(X1…….Xk) is a linear function of the unknown parameters. Read more »

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