80 lesions of patients with rural cutaneous leishmaniasis (leishmaniasis) participating in the study are randomly assigned to one of two treatment groups. In this study, block randomization method is used, for which block is used. Fours are used. Regarding the details of how to do randomization, in block randomization the size of all blocks is equal. Within each block of 4, 2 people are randomly assigned to group A and 2 people are randomly assigned to group B. 20 blocks of 4 are used for this study. Be. Block randomization is to ensure that exactly the same number of participants enter the intervention and control group at consecutive but equal intervals. The size of each block is 4 people. In this way, for example, one type of treatment is given to the first block, another type to the second, and again the first type to the third block, and so on. The advantage of block randomization is that the balance of the number of participants in each group is guaranteed.
The difference in the number of people in each group will never be more than half the number of people in each block. Performing design of blocked randomization experiments with R software, which is one of the best statistical software. This software uses Package Blockrand. This package creates a random block for clinical trials and helps create randomization cards that the study coordinator can use to assign new people to his or her treatment.
Random Block Quadruple All possible blocks are arranged as follows
Block 1: ABAB block 2: AABB block: 3: ABBA block 4: BBAA block 5: BABA Block 6: BAAB
We need 20 blocks to select 80 people. We randomly select these blocks from 1 to 6. Using software R, we choose a random number between the numbers 1 to 6. For example, if the number 6
Selected as the first block and number 2 as the second block, BAABAABB will be given to the participants in the study, respectively. Finally, group A will receive control intervention and group B will receive treatment intervention.
The blockrand function is used to create a data frame with sequential block treatment randomizations. When performing a categorized study, you must run blockrand once for each layer, then optionally combine different data frames with rbind. Save the data frame (s), and when the study is complete, the data can be added to the data frame for analysis. The plotblockrand function is used to create randomization cards to be used when assigning people to treatment. The cards are printed and sealed in envelopes, then when a new subject is registered, the next envelope is opened and the subject is assigned to the relevant treatment. This function generates random allocation for clinical trials. Randomization is done in blocks to balance the treatments.