2026-02-17
Brijesh P. Singh, Tanya Singh, Alok Kumar Singh
The number of caesarean deliveries worldwide has been rising, which raises concerns about whether choosing this operation is suitable. Using both bivariate and multivariate logistic regression techniques, the current study aims to investigate the factors that influence the preference for caesarean delivery in India in order to ascertain whether the procedure is elective or emergency. It also looks at the relationship between the risk of caesarean delivery and women’s pre-pregnancy obesity, height, delivery complications, preferred place of antenatal care visit as well as place of delivery, desired child, and sociodemographic variables. Results show that the risk of undergoing Cesarean section in the private sector is about four times higher than that in the public sector. The younger and educated women are more likely to prefer Cesarean delivery as compared to their counterparts. It’s likely that this medical treatment is being abused for financial gain in the private sector or that women are choosing to forego labour discomfort on purpose.
2026-01-21
Anindita Datta, Seema Jaggi, Cini Varghese, Eldho Varghese, Arpan Bhowmik, Mohd Harun, Med Ram Verma
In animal studies where experimental units are influenced by two sources of variation, row-column designs are commonly employed. When there is a large number of treatments but limited experimental resources, Generalized Row-Column (GRC) designs become useful. These designs enable multiple experimental units at each row-column intersection, optimizing resource use. Historically, GRC designs have been focused on supporting all possible pairwise comparisons among treatments. However, in many biomedical or pharmaceutical experiments, the main goal is not to compare all treatments, but rather to evaluate new (test) treatments against a standard (control) treatment. In such situations, the emphasis is placed on estimating the treatment-control contrast as precisely as possible. To meet this need, we introduce a balanced version of GRC designs specifically for treatment-control comparisons, and we propose a class of partially balanced GRC designs. These modifications aim to improve the precision of contrast estimation between test and control treatments, while still ensuring structural balance within rows and columns.
2026-01-12
Kuldeep Dahal, Sanjib Choudhury
Batting and bowling performances are crucial to evaluating the overall contribution of cricket players across all international formats. This study applies factor analysis to assess player performance in Test, ODI, and T20I formats. The dataset comprises 192 players from the 2021–2023 ICC World Test Championship (Test), 149 players from the 2023 ICC Cricket World Cup (ODI), and 193 players from the 2022 ICC T20 World Cup (T20I). The analysis reveals that in the limited-overs formats – ODIs and T20Is – batting performance tends to dominate, accounting for 45.66% and 46.77% of the variance, respectively, compared to bowling performance, which contributes 34.36% in ODIs and 35.61% in T20Is. However, the test format exhibited a near-equal distribution of variance with batting 40.61% and bowling 39.80% of the total variance.