The article provides an overview of randomization techniques in clinical research, emphasizing their importance in ensuring unbiased and comparable outcomes. Randomization is a crucial method for experimental control, preventing selection bias and ensuring that treatment assignments are balanced. The paper discusses various randomization methods, including simple randomization, block randomization, stratified randomization, and covariate adaptive randomization, each with its advantages and limitations. Simple randomization is straightforward but may result in unequal group sizes in small studies. Block randomization helps maintain equal sample sizes but can still lead to covariate imbalances. Stratified randomization controls for baseline covariates but is complex to implement with many covariates. Covariate adaptive randomization is recommended for small to moderate studies, balancing covariates while considering previous assignments. The article also highlights the use of online statistical computing tools like GraphPad QuickCalc and Randomization.com for generating randomization schedules, providing practical guidance for researchers. The conclusion underscores the numerous benefits of randomization in ensuring unbiased and comparable outcomes in clinical trials.The article provides an overview of randomization techniques in clinical research, emphasizing their importance in ensuring unbiased and comparable outcomes. Randomization is a crucial method for experimental control, preventing selection bias and ensuring that treatment assignments are balanced. The paper discusses various randomization methods, including simple randomization, block randomization, stratified randomization, and covariate adaptive randomization, each with its advantages and limitations. Simple randomization is straightforward but may result in unequal group sizes in small studies. Block randomization helps maintain equal sample sizes but can still lead to covariate imbalances. Stratified randomization controls for baseline covariates but is complex to implement with many covariates. Covariate adaptive randomization is recommended for small to moderate studies, balancing covariates while considering previous assignments. The article also highlights the use of online statistical computing tools like GraphPad QuickCalc and Randomization.com for generating randomization schedules, providing practical guidance for researchers. The conclusion underscores the numerous benefits of randomization in ensuring unbiased and comparable outcomes in clinical trials.