Results 41 to 50 of about 1,643 (174)

Modeling the Number of Attacks in Multiple Sclerosis Patients Using Zero-Inflated Negative Binomial Model [PDF]

International Journal of Epidemiologic Research, 2020
Background and aims: Multiple sclerosis (MS) is an inflammatory disease of the central nervous system. The impact of the number of attacks on the disease is undeniable. The aim of this study was to analyze the number of attacks in these patients. Methods:
Marjan Jamalian, Vahid Shaygannejad, Morteza Sedehi, Soleiman Kheiri   +3 more
doaj   +1 more source

Bayesian Network Meta‐Analysis With One or Two Continuous Outcomes Measured at Multiple Time Points Using Gaussian Random Walks With Drift

Statistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT Network meta‐analysis of randomized controlled trials is traditionally conducted on a single outcome measured at one time point. However, many trials also feature a secondary outcome and both outcomes may have been reported at multiple time points. Existing network meta‐analysis methods for synthesizing continuous outcome data from such trials
Pai‐Shan Cheng, Bruno R. da Costa, George Tomlinson   +2 more
wiley   +1 more source

Supplement 1. Model code and data structure for fitting the general model using OpenBUGS.

, 2016
File List OpenBUGS_code.txt (md5: 90849493aeb5943ad41b2f14bfdf3ef0) Description The OpenBUGS_code.txt gives the model code and data structure for fitting the general model using OpenBUGS.
Victor Johansson (475412), Thomas Ranius (406564), Tord Snäll (204129)   +2 more
core   +1 more source

State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 418-434, February 2026.
Abstract Passive acoustic telemetry systems are widely deployed to track animals in aquatic environments. However, investments in integrative methods of data analysis have remained comparatively limited, with current workflows typically considering individual movements separately from space use, home ranges and residency.
Edward Lavender, Andreas Scheidegger, Helen Moor, Carlo Albert   +3 more
wiley   +1 more source

Supplement 1. OpenBUGS code for conditional access and abundance of species in stream networks.

, 2016
File List ConditionalAccessAndAbundance.odc (MD5: 2e72cba15bee987bf62307701a82ef94) Description ConditionalAccessAndAbundance.odc – Documented OpenBUGS code for fitting the conditional access and abundance ...
Jason B. Dunham (483121), Nathan D. Chelgren (2904023)   +1 more
core   +1 more source

A Bayesian approach for dynamic treatment regimes in the presence of competing risk analysis

Cancer Research, Statistics, and Treatment, 2018
Background: A sequencing rule is considered to formulate the dynamic treatment regime (DTR). This sequence rule is based on the clinical relevance, prior evidence about the best performing therapy, and the requirement to treat a patient in a specific ...
Atanu Bhattacharjee, Gajendra K Vishwakarma, Souvik Banerjee   +2 more
doaj   +1 more source

Effective factors on the number of decayed and filled teeth using the Conway-Maxwell-Poisson count model [PDF]

Journal of Oral Health and Oral Epidemiology, 2019
BACKGROUND AND AIM: Recognizing the factors affecting the number of decayed and filled teethhas a major role in oral health. Dental data usually suffer from over-dispersion and excess zero frequencies.
Omid Karimipour-Baseri, Soleiman Kheiri, Morteza Sedehi, Ali Ahmadi   +3 more
doaj   +1 more source

Geographical Disparities in Hypertension Incidence Rate in Iran 2004-2016: Bayesian Spatial Analysis

Journal of Biostatistics and Epidemiology, 2023
Introduction: Cardiovascular diseases such as coronary heart disease, heart failure, arrhythmia, and cardiomyopathy all include hypertension as a key risk factor.
Roghaye Zare, Erfan Ghasemi, Shirin Djalalinia, Masoud Alimardi, Moein Yoosefi, Abbas Rahimi-Foroushani   +5 more
doaj   +1 more source

Estimation and Prediction for the Bounded Transformed Gamma Process: A Bayesian Approach

Applied Stochastic Models in Business and Industry, Volume 41, Issue 6, November/December 2025.
ABSTRACT In this article, an informative Bayesian approach is proposed for the bounded transformed gamma process, a novel stochastic process recently proposed in the literature to describe bounded above, monotonic increasing, degradation phenomena.
Massimiliano Giorgio, Fabio Postiglione, Gianpaolo Pulcini   +2 more
wiley   +1 more source

Supplement 1. OpenBUGS code for statistical models.

, 2016
File List openbugscode.txt Description The file openbugscode.txt contains the code for the models used for re-analysis of Hawkins et al. MTE data – and was used to analyze the 23 linear data sets (by the authors' criteria) only.
Andrew M. Latimer (121016)
core   +1 more source