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Byline: Avijit. Hazra, Nithya. Gogtay Survival analysis is concerned with “time to event“ data. Conventionally, it dealt with cancer death as the event in question, but it can handle any [...]

Byline: Avijit. Hazra, Nithya. Gogtay In observational studies, as well as in interventional ones, it is frequently necessary to estimate risk that is the association between an observed outcome or [...]

Byline: Avijit. Hazra, Nithya. Gogtay Crucial therapeutic decisions are based on diagnostic tests. Therefore, it is important to evaluate such tests before adopting them for routine use. Although things such [...]

Byline: Avijit. Hazra, Nithya. Gogtay Correlation and linear regression are the most commonly used techniques for quantifying the association between two numeric variables. Correlation quantifies the strength of the linear [...]

Byline: Avijit. Hazra, Nithya. Gogtay Determining the appropriate sample size for a study, whatever be its type, is a fundamental aspect of biomedical research. An adequate sample ensures that the [...]

Byline: Avijit. Hazra, Nithya. Gogtay Categorical variables are commonly represented as counts or frequencies. For analysis, such data are conveniently arranged in contingency tables. Conventionally, such tables are designated as [...]

Byline: Avijit. Hazra, Nithya. Gogtay Numerical data that are normally distributed can be analyzed with parametric tests, that is, tests which are based on the parameters that define a normal [...]

Byline: Avijit. Hazra, Nithya. Gogtay Hypothesis testing (or statistical inference) is one of the major applications of biostatistics. Much of medical research begins with a research question that can be [...]

Byline: Avijit. Hazra, Nithya. Gogtay Although application of statistical methods to biomedical research began only some 150 years ago, statistics is now an integral part of medical research. A knowledge [...]