Category: Bio statistics

Need:  Most of the statistical/Machine Learning techniques requires the normality assumption for significance testing as well as for modeling, but in the real time scenario most of the times the data distribution doesn’t satisfy the normality conditions. Solution Transformation is

Need:    While choosing the suitable test statistics for hypothesis testing one of the key factors is data distribution. If the data distribution is normal distribution then we will apply the parametric tests such as t, Anova, f—etc., if data is

  Need:  When you identified missing data has a pattern with other variables (Missing at Random MAR) imputing the missing values with single value (Mean/Mode) imputation does not make any sense. As missing data has some kind relation with other

  Need: Missing data is a common and exciting problem in statistical analysis and machine learning hence we need to understand the cause of the missingness (pattern) and need to impute properly otherwise the random imputation might effect the solution

Objective Propensity score methods allow investigators to estimate causal treatment effects  for observational or nonrandomized data. Need: In most of the classical experiments either in healthcare or market research studies covariates (features) are balanced through randomization so that treated and

Survival analysis is used to determine the time it takes for an event of interest to occur. We use survival analysis to study the time until some event of interest occurs. Survival Analysis is also known as Time to Event

Need: In statistical inference we have different test statistics(test) which will differ by different differs of variables as well as for different types of analysis ,hence choosing correct statistical test is really important, wrongly chosen statistical tests might not give

Need: The test statistics such as χ2 and Fisher’s Exact Test only test whether there is a relationship between categorical variables or not but fail to provide the strength of the relationship. Approach:  To find the strength of relationship (such

Need:   if you want to study the relationship (association) between two variables which are associated with another variable, then both RR (Relative Risk) and OR (odds ration) doesn’t work as they are able to explain the association between two variables.

Need Researchers are often interested in evaluating the association between an exposure and an outcome. In other words, they are interested in knowing whether the presence of a risk factor or performing an intervention alters the risk of an outcome