Background: Typically, randomization software should allow users to exert control over the different aspects of randomization including block design, provision of unique identifiers and control over the format and type of program output. While some of these characteristics have been addressed by available software, none of them have all of these capabilities integrated into one package. The main objective of the Random Allocation Software project was to enhance the user's control over different aspects of randomization in parallel group trials, including output type and format, structure and ordering of generated unique identifiers and enabling users to specify group names for more than two groups.
Results: The program has different settings for: simple and blocked randomizations; length, format and ordering of generated unique identifiers; type and format of program output; and saving sessions for future use. A formatted random list generated by this program can be used directly (without further formatting) by the coordinator of the research team to prepare and encode different drugs or instruments necessary for the parallel group trial.
Conclusions: Random Allocation Software enables users to control different attributes of the random allocation sequence and produce qualified lists for parallel group trials.
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http://dx.doi.org/10.1186/1471-2288-4-26 | DOI Listing |
Trop Anim Health Prod
January 2025
Department of Agroindustrial Science and Technology, Federal University of Pelotas, Rio Grande Do Sul, Brazil.
During the harvest of Ilex paraguariensis, approximately 2-5 tons per hectare of thick stems are left on the soil surface. The outer portion of these stems, referred to as the coproduct, constitutes 30% of the total residue mass. Although this coproduct has been partially characterized in terms of its phytochemical profile, its technological applications remain unexplored.
View Article and Find Full Text PDFVet Med Sci
March 2025
Faculty of Veterinary Medicine, Department of Genetics, Hatay Mustafa Kemal University, Hatay, Türkiye.
This study tested the effects of propylene glycol (PG) on the fatty acid composition of Akkaraman lambs in three different anatomical depot locations (ADLs). Twenty-four lambs were assigned to a randomized complete block design comprising three groups of 8 animals as follows: Con, 1.5%, body weight (BW) (PG1.
View Article and Find Full Text PDFTrop Anim Health Prod
January 2025
College of Animal Sciences, Anhui Science and Technology University, Fengyang, 233100, China.
This study was aim to investigate the effects of lipoic acid (ALA) on performance, meat quality, serum biochemistry and antioxidant function of broilers under heat stress (HS). Two hundred1-day-old Cobb broilers were randomly divided into four treatment groups and each treatment consisted of 4 replicates of 10 broilers each. The treatment group adopts a 2 × 2 two-factor setting, which is divided into two diets (basic diet or 250 mg/kg ALA diet) and two temperatures (24 ± 1℃ or 33 ± 1℃).
View Article and Find Full Text PDFJ Vasc Bras
January 2025
Universidade Estadual Paulista - UNESP, Faculdade de Medicina de Botucatu, Botucatu, SP, Brasil.
Intervention studies require all participants to originate from the same population, with random allocation to intervention groups to ensure comparability. Randomization is crucial for minimizing confounding factors, allowing differences in outcomes to be attributed to the intervention. Simple randomization performs well for large samples (>100 per group), but smaller samples may require block or stratified randomization to balance group sizes and covariates.
View Article and Find Full Text PDFUltrason Imaging
January 2025
Department of Ultrasound, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
This study aims to establish and validate an ultrasound radiomics nomogram for preoperative prediction of central lymph node metastasis in papillary thyroid microcarcinoma (PTMC) before operation. A retrospective analysis conducted on ultrasonic images and clinical features derived from 288 PTMC patients, who were divided into training cohorts ( = 201) and validating cohorts ( = 87) in a ratio of 7:3 base on the principle of random allocation. Radiomics features were extracted from the PTMC patients after ultrasonic examination, followed by dimension reduction and characteristic selection to construct the radiomics score (Radscore) using LASSO regression analysis.
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