biostatistics

Online workshop on biostatistics that focuses on the practical aspects. The “Biostatistics: a user’s perspective” series of workshops started in 2018, and till date (i.e. May 2026), there have been 1147 participants. The primary focus of these workshops is to provide the knowledge required for basic statistical analysis and interpretation of biological data. The amount of mathematics involved is …

Interesting Statistical Lessons in Providing Real World Evidence that the ensoETM Device Protects the Esophagus from Thermal Injury During Radiofrequency Ablation Presented by Babette Brumback, PhD Professor Emerita, Department of Biostatistics University of Florida Wednesday, September 25, 2024, 4:00 PM, AUST 202 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge […]

Join us for this week’s Brown Bag Seminar on Wednesday, April 3rd, with David Steinsaltz, Associate Professor of Statistics at the University of Oxford, who will present “What is Biological Age?”. This talk is in-person, 310 Social Sciences Building.  Event details are here.  See our events calendar for the spring semester schedule.  The latest video […] The post Weekly News, April 1, 2024 appear…

Biostatistics and Biometrics - Juniper Publishers Abstract Traditional parallel group double-blind controlled trial design is the preferred approach to provide substantial evidence to support a new drug application. To elevate trial efficiency to a new level, the pharmaceutical industry and the health regulatory authorities continuously make great effort to propose the applications of innova…

Jonathan Huang and Brian Whitcomb explore the complexities of causal inference in molecular epidemiology. This playlist highlights key challenges, such as confounding and measurement error, and discusses opportunities for leveraging advanced methods to improve study validity and interpretation.

UConn Physics alumnus Dr. Michael Wininger (BS, 2003) was recently featured in the professional journal O&P Almanac (Orthotics and Prosthetics). The article describes how his eclectic background, beginning with degrees from UConn, has enabled him to lead innovations in several areas of health research. Mike is currently an Assistant Clinical Professor in the Biostatistics Department […]

Biostatistics and Biometrics - Juniper Publishers Abstract Constrained Bayesian method (CBM) and the concept of false discovery rates (FDR) for testing directional hypotheses is considered in the paper. Here is shown that the direct application of CBM allows us to control FDR on the desired level. Theoretically it is proved that mixed directional false discovery rates (mdFDR) are restricted …

Biostatistics and Biometrics Open Access Journal Abstract Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this paper, both inference procedures are considered, their advantages and disadvantages are explained, and their similarities and differences are discussed. Keywords: Accelerated fai…

JUNIPER PUBLISHERS-BIOSTATISTICS AND BIOMETRICS OPEN ACCESS JOURNAL The Analytical Covariance Matrix for Regime - Switch in Models Authored by Andrea Beccarini This letter provides an analytical solution for the covariance matrix related to the (mean) parameters of the standard Markov-switching model. The importance of avoiding numerical procedures to estimate this matrix is also highlighted. Sim…

JUNIPER PUBLISHERS-BIOSTATISTICS AND BIOMETRICS OPEN ACCESS JOURNAL Be Wary of Using Poisson Regression to Estimate Risk and Relative Risk Authored By Leigh Blizzard Fitting a log binomial model to binary outcome data makes it possible to estimate risk and relative risk for follow-up data, and prevalence and prevalence ratios for cross-sectional data. However, the fitting algorithm may fail to…

JUNIPER PUBLISHERS-BIOSTATISTICS AND BIOMETRICS OPEN ACCESS JOURNAL Confidence Intervals for the Relative Risk Authored by Michail Tsagris Confidence interval for the ratio of two independent binomial proportions is an important measure, especially in medicine. The relative risk is such an example where accurate interval estimation is crucial. In this work we compare 4 different methods for th…

Post provided by Laura Graham Datasets used by quantitative ecologists are getting more and more complex. So we need more complex models, such as hierarchical and complex spatial models. Typically, Bayesian approaches such as Markov chain Monte Carlo have been used. But these methods can be slow, making it infeasible to fit some models. New developments in Integrated nested Laplace approximation …