• PanelPRO

  • Referenced in 1 article [sw35767]
  • multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer. Identifying ... genes. Once such class of models are Mendelian risk prediction models, which use family history ... associated cancers. The model identifies individuals at an increased risk of carrying cancer susceptibility gene ... risk modeling with pedigree data. The software enables the identification of high-risk individuals, which...
  • BayesMendel

  • Referenced in 6 articles [sw11022]
  • that individual, using information on his/her family history. Mendelian risk prediction models accomplish these goals...
  • CASPAR

  • Referenced in 6 articles [sw12242]
  • classification models. Several approaches exist to classify patients in different risk classes, however, relatively little ... individual patient based on microarray measurements. CASPAR is based on a multivariate Cox regression model...
  • DeepSurv

  • Referenced in 6 articles [sw41011]
  • covariates and their risk of failure. We then show how DeepSurv models the relationship between ... DeepSurv can be used to provide individual treatment recommendations. Finally, we train DeepSurv on real ... patients. Conclusions: The predictive and modeling capabilities of DeepSurv will enable medical researchers ... patient’s characteristics on their risk of failure...
  • GBMCI

  • Referenced in 2 articles [sw11476]
  • event of interest. Many statistical models have been proposed for survival analysis. They often impose ... risk of an event changes over time depending on covariates associated with each individual ... particular, the prevalent proportional hazards model assumes that covariates are multiplicatively related to the hazard...
  • ISDEvaluation

  • Referenced in 1 article [sw35485]
  • survival distributions. An accurate model of a patient’s individual survival distribution can help determine ... terminal patients. Unfortunately, risk scores (for example from Cox Proportional Hazard models) do not provide ... probabilities, single-time probability models (for instance the Gail model, predicting 5 year probability) only ... patients, meaning they are not specific to individual patients. This motivates an alternative class...
  • Zelig

  • Referenced in 9 articles [sw17526]
  • library. Zelig allows each individual package, for each statistical model, to be accessed ... simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences...
  • GLOGS

  • Referenced in 1 article [sw23133]
  • binary traits with risk covariates in related populations. Summary: Mixed model-based approaches to genome ... studies (GWAS) of binary traits in related individuals can account for non-genetic risk factors...
  • Lexis

  • Referenced in 2 articles [sw25125]
  • individual event times and the split data may be used in Poisson regression models that ... account for the evolution of disease risk on multiple time scales. The summary and plot...
  • BANKADVISER

  • Referenced in 9 articles [sw25251]
  • industrial evaluation system. It provides evaluations of individual items such as firms, industries, companies, industrial ... strong and weak features, to evaluate any risk associated with them. Decisions such as whether ... BANKADVISER evaluation. BANKADVISER is a visual interactive modelling system. It is interactive because for each...
  • prediction-prostate-surveillance

  • Referenced in 2 articles [sw23312]
  • radiation, or indolent, permitting continued surveillance. These individualized predictions can then be communicated to clinicians ... demonstrate the model with data from a cohort of low-risk prostate cancer patients...
  • DataSifter

  • Referenced in 1 article [sw35117]
  • modelling or analytical processing. Insufficient preprocessing may compromise sensitive information and introduce a substantial risk ... identification of individuals by various stratification techniques. To address this problem, we developed a novel...
  • fastcmprsk

  • Referenced in 1 article [sw28753]
  • typical in biomedical studies where individuals are at risk to more than one cause (type ... others from happening. The Fine-Gray model is a popular and well-appreciated model...
  • HEALER

  • Referenced in 1 article [sw30527]
  • such information might put individual’s privacy at risk. It is important to protect human ... learn a homomorphic exact logistic regression model (i.e. evaluate P-values of coefficients), where...
  • REMI

  • Referenced in 1 article [sw41504]
  • estimation in high-dimensional linear regression models when complete data are not accessible ... which have been widely used to identify risk variants among complex human traits/diseases. With ... increasingly important because of the inaccessibility of individual-level data. In this study, we propose...
  • Haplin

  • Referenced in 0 articles [sw15221]
  • from the genetic data. Haplin estimates relative risk (RR + conf.int.) and p-value associated with ... SNPs has not been typed for some individuals. Haplin also allows estimation of effects ... appropriate in perinatal epidemiology. Haplin allows special models, like X-inactivation, to be fitted...
  • FISHtrees

  • Referenced in 1 article [sw29659]
  • trees that model changes in ploidy and individual gene copy-number variations. We present FISHtrees ... integer linear programming (MILP). The ploidy-based modeling in FISHtrees includes a new formulation ... changes of a single gene into trees modeling changes in multiple genes and the ploidy ... predict which DCIS cases are at most risk to progress to IDC. The FISHtrees software...
  • Expokit

  • Referenced in 198 articles [sw00258]
  • Expokit provides a set of routines aimed at...
  • Maple

  • Referenced in 5363 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 6337 articles [sw00554]
  • Almost any workflow involves computing results, and that...