Sample Size Calculation and Power Clinical Trials

Sample Size Calculation and Power, One of the most important stages in the planning of clinical trials is the estimation of sample size. This post discusses the significance of sample size calculation and power,...

Weibull Distribution in R

Weibull Distribution in R, Weibull Distribution was discovered by Swedish physicist Wallodi Weibull in 1939. A continuous random variable X is said to follow Weibull distribution if its probability density function fx(x; α, β)=...

Data Science Soft Skills

Data Science Soft Skills, Data scientists can have a significant impact on a company’s earnings in a variety of ways. Many competitions are now taking place in this discipline. So, if you want to...

How to Perform Tukey HSD Test in R

Tukey HSD Test in R, When there are three or more independent groups, we apply a one-way ANOVA to see if there is a significant difference. The p-value for one-way ANOVA is less than...

How to Perform Dunnett’s Test in R

Dunnett’s test in R, After the ANOVA test has been completed the next step is to determine which group means are significantly different from one another. Different types of post hoc tests are available...

How to Remove Duplicates in R with Example

How to Remove Duplicates in R, when we are dealing with data frames one of the common tasks is the removal of duplicate rows in R. This can handle while using different functions in...

Calculate Geometric Mean in R

Calculate Geometric Mean in R, Geometric mean is the nth root of the product of n values of a set of observations. Geometric can be expressed as GM=(x1, x2, x3, ……, xn)1/n The advantage...

Plot Differences in Two Measurements-Bland-Altman Plot in R

Plot Differences in Measurements, the discrepancies in measurements between two different instruments or measurement methodologies are visualized using a Bland-Altman plot. It can be used to compare the accuracy of two instruments or approaches...