Results 31 to 40 of about 21,700,063 (319)

How to interpret the results of medical time series data analysis: Classical statistical approaches versus dynamic Bayesian network modeling

Journal of Pathology Informatics, 2016
Background: Classical statistics is a well-established approach in the analysis of medical data. While the medical community seems to be familiar with the concept of a statistical analysis and its interpretation, the Bayesian approach, argued by many of ...
Agnieszka Onisko, Marek J Druzdzel, R Marshall Austin   +2 more
doaj   +1 more source

Demographic risk factors for classical and atypical scrapie in Great Britain [PDF]

, 2007
Following the bovine spongiform encephalopathy (BSE) crisis, the European Union has introduced policies for eradicating transmissible spongiform encephalopathies (TSEs), including scrapie, from large ruminants. However, recent European Union surveillance
Noel D McCarthy (16058201), Green, Darren, McCarthy, N.D., Kao, Rowland R, Kao, RR, del Rio Vilas, V.J., Kiss, I.Z., del Rio Vilas, Victor J, Kiss, IZ, del Rio Vilas, VJ, McCarthy, Noel D, Colin P D Birch (16058198), Darren M Green (16058192), Jethro Johnson (12099290), Kao, R.R., Victor J del Rio Vilas (16058195), Green, D.M., Johnson, J., McCarthy, ND, Istvan Kiss (4462126), Kiss, Istvan Z, Johnson, Jethro, Birch, CPD, Green, DM, Johnson, J, Birch, CP, Rowland R Kao (16058204), Birch, C.P.D., Birch, Colin P D   +28 more
core   +1 more source

Bayesian model averaging: improved variable selection for matched case-control studies

Epidemiology, Biostatistics and Public Health, 2019
Background: The problem of variable selection for risk factor modeling is an ongoing challenge in statistical practice. Classical methods that select one subset of exploratory risk factors dominate the medical research field.
Yi Mu, Isaac See MD, Jonathan R. Edwards MSc   +2 more
doaj   +1 more source

Prospective Evaluation of a Breast Cancer Risk Model Integrating Classical Risk Factors and Polygenic Risk in 15 Cohorts from Six Countries

, 2019
Risk-stratified breast cancer prevention requires accurate identification of women at sufficiently different levels of risk. We conducted a comprehensive evaluation of a model integrating classical risk factors and a recently developed 313-variant ...
Amber N. Wilcox, P. Choudhury, Chi Gao, A. Hüsing, M. Eriksson, Min Shi, Christopher G. Scott, B. Carter, K. Martin, E. Harkness, M. Brook, T. Ahearn, N. Mavaddat, A. Antoniou, J. Chang-Claude, J. Simard, Michael E. Jones, N. Orr, M. Schoemaker, A. Swerdlow, S. Sampson, W. Newman, E. V. van Veen, D. Evans, R. MacInnis, G. Giles, M. Southey, R. Milne, S. Gapstur, M. Gaudet, S. Winham, K. Brandt, A. Norman, C. Vachon, D. Sandler, C. Weinberg, K. Czene, M. Gabrielson, P. Hall, C. V. van Gils, K. Khaw, Myrto Barrdahl, R. Kaaks, P. Ridker, J. Buring, D. Chasman, D. Easton, M. Schmidt, P. Kraft, M. García-Closas, N. Chatterjee   +50 more
semanticscholar   +1 more source

Bayesian model averaging: improved variable selection for matched case-control studies

Epidemiology, Biostatistics and Public Health, 2022
Background: The problem of variable selection for risk factor modeling is an ongoing challenge in statistical practice. Classical methods that select one subset of exploratory risk factors dominate the medical research field.
Yi Mu, Isaac See, Jonathan R. Edwards
doaj  

Predictive capacity of a genetic risk score for coronary artery disease in assessing recurrences and cardiovascular mortality among patients with myocardial infarction

Frontiers in Cardiovascular Medicine, 2023
AimThis study aimed to evaluate the capacity of a genetic risk score (GRS) for coronary artery disease (CAD) independent of classical cardiovascular risk factors to assess the risk of recurrence in patients with first myocardial infarction. The secondary
Luis Miguel Rincón, Luis Miguel Rincón, Luis Miguel Rincón, Isaac Subirana, Isaac Subirana, Candelas Pérez del Villar, Candelas Pérez del Villar, Pedro L. Sánchez, Pedro L. Sánchez, José Luis Zamorano, José Luis Zamorano, José Luis Zamorano, Jaume Marrugat, Jaume Marrugat, Roberto Elosua, Roberto Elosua, Roberto Elosua   +16 more
doaj   +1 more source

ANFIS for risk estimation in risk-based access control model for smart homes [PDF]

, 2022
The risk-based access control model is one of the dynamic models that use the security risk as a criterion to decide the access decision for each access request.
Gary B. Wills, Atlam, Hany F., Wills, Gary B., Atlam, H.   +3 more
core   +1 more source

Ruin probabilities in classical risk models with gamma claims [PDF]

Scandinavian Actuarial Journal, 2017
In this paper, we provide three equivalent expressions for ruin probabilities in a Cramér–Lundberg model with gamma distributed claims. The results are solutions of integro-differential equations, derived by means of (inverse) Laplace transforms. All the three formulas have infinite series forms, two involving Mittag–Leffler functions and the third one
Corina Constantinescu, Gennady Samorodnitsky, Wei Zhu   +2 more
openaire   +2 more sources

Optimisation of drawdowns by generalised reinsurance in the classical risk model

Decisions in Economics and Finance, 2023
AbstractWe consider a Cramér–Lundberg model representing the surplus of an insurance company under a general reinsurance control process. We aim to minimise the expected time during which the surplus is bounded away from its own running maximum by at least$$d>0$$d>0(discounted at a preference rate$$\delta >0$$δ>0) by choosing a reinsurance ...
Leonie Violetta Brinker, Hanspeter Schmidli   +1 more
openaire   +3 more sources

Bayesian network modeling applied to food risks: Data from General Administration of Customs of China as an example

Applied Food Research
We introduce a multidimensional Bayesian Network (BN) modeling approach as an alternative to the classical multivariate regression approach commonly used for risk factor analysis.
Xuanyu Ying, Anni Lu, Qiang Cai, Jun Lu
doaj   +1 more source