Efficacy and safety of anticoagulants in elderly atrial fibrillation patients: a systematic review and network meta-analysis by Xingran Zhao, Jun Luo, Xuanda Pan, Linlin Fang, Chengjiang Liu

“…Statistical analysis was performed using a Bayesian random-effects network meta-analysis model to calculate odds ratios (ORs) and 95% confidence intervals (CIs). …”
Get full text

Prevalence trend and burden of foodborne trematodiasis in China from 1990 to 2021 and its predictions until 2030: a comparative study with Japan and South Korea by Runzhou Ma, Runzhou Ma, Na Li, Chengming Chen, Jianqiang Lan, Huaibin Guo, Wanxing Zhang

“…Additionally, the Bayesian age-period-cohort (BAPC) model projected future FBT burden trends.ResultsFrom 1990 to 2021, China showed significant reductions in ASPR (41.65%) and ASDALR (47.44%) of FBT. …”
Get full text

Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors by M. Alejandro Dinamarca, Fernando Rojas, Claudia Ibacache-Quiroga, Karoll González-Pizarro

“…Simulation experiments reveal that the skewness parameter significantly affect forecasting accuracy, with reductions in mean absolute error (MAE) and root mean square error (RMSE) observed across both positively and negatively skewed scenarios. …”
Get full text

Exposure to Dioxin-like polychlorinated biphenyls during Pregnancy and fetal thyroid function; A mixture analysis by Yang Yu, Baogang Wu, Zhipeng Li, Yue Hu, Dan Zhang, Chuanjia Yang

“…Linear regression models, quantile g-computation (g-comp), generalized weighted quantile sum (g-WQS) regression, and Bayesian Kernel Machine Regression (BKMR) were used to analyze the data and evaluate the effects of DL-PCBs exposure on thyroid hormone levels, adjusting for various confounders. …”
Get full text

Effectiveness of different intervention designs for improving physical activity in adults with cardiometabolic conditions over time: a systematic review and network meta-analysis o... by Alexander Hodkinson, Harsini Raaja Sulochana, Evangelos Kontopantelis, Charles Adeniji, Harm van Marwijk, Brian McMillan, Peter Bower, Maria Panagioti

“…Steps per day were analysed via time-course model-based meta-analysis. Bayesian random-effects network meta-analysis estimated mean differences (MD)/standardised mean differences (SMD) and 95% credible intervals (CrIs). …”
Get full text

Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…EPIdemiology of psoriatiC arthritis study: Bayesian networks identified clusters of symptoms that can accurately predict the development of psoriatic arthritis (area under the curve 0.73, 95% CI 0.70 to 0.75). …”
Get full text