Nodo

Software

^{VALENCIA - GEEITEMA}

Nombre: FLUDETWEB

Descripción: es una implementación web de una herramienta de vigilancia epidemiológica para la detección del instante en el que comienza la epidemia anual de gripe. El método estadístico subyacente está descrito en Martínez-Beneito et al. (Bayesian Markov switching models for the early detection of influenza epidemics, Statistics in Medicine, 27(22), 4455-4468).

Tras darse de alta, los usuarios pueden introducir y editar sus datos de tasas de incidencia de gripe y solicitar al sistema la probabilidad de estar en fase epidémica siempre y cuando se disponga de datos históricos de al menos 3 temporadas. El sistema devuelve (via e-mail si así lo desea el usuario) dicha probabilidad junto con la probabilidad (en el caso de estar en estado epidémico) de que en la semana siguiente haya un aumento o una disminución en la tasa de incidencia y dos gráficas que completan dicha información.

Para el desarrollo de este sistema se ha utilizado software estadístico de libre distribución (R y WinBUGS), un servidor web de aplicaciones java (Tomcat) y un servidor de base de datos (MySQL). Esta aplicación ha sido creada por miembros del grupo “Geeitema” dentro del proyecto “MEVIEPI”. Para cualquier otra pregunta o consulta puede contactar con: This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Más detalles sobre la arquitectura del sistema y de su funcionamiento se pueden consultar en la web:       http://www.geeitema.org/meviepi/fludetweb/

^GRANADA

Software and information can be found at http://www.ugr.es/~bioest

2×2 Tables Programs

Programs for the two binomial case

SMP provides the exact unconditional p-value for comparing two independent binomial proportions. Null hypothesis H: p₂=p₁

SG provides the one-tailed exact unconditional p-value for contrasting the null hypothesis H: p₂–p₁=d

PEG provides the two-tailed exact unconditional p-value for contrasting the null hypothesis H: p₂–p₁≤ d₁ or H: p₂–p₁ ≥ d₂

SDG provides the two-tailed exact unconditional p-value for contrasting the null hypothesis H: d₁≤p₂–p₁≤ d₂

Z_EQUIV provides the unconditional approximate p-value for the SG, SDG and PEG tests described above.

Z_LINEAR provides the one or two-tailed unconditional approximate p-value for contrasting the null hypothesis H: p₂=a + b p₁

Programas for the multinomial case

TMP provides the one or two tailed exact unconditional p-value for testing the independence in a 2x2 table. Null hyoithesis:  H: p₁=p₂

SG_ASO provides the one-tailed exact and asymptotical unconditional p-value for contrasting the null hypothesis: H: p₂–p₁=d

EQUIV_ASO provides the two-tailed exact and asymptotical unconditional p-value for contrasting the nulls hypothesis: H: p₂–p₁≤ d₁ o bien H: p₂–p₁ ≥ d₂; H: d₁≤p₂–p₁≤ d₂

Programs for the chi-square test and validity conditions for the three models

Z_INDEP provides the asymptotic chi-squared test (and its validity condition) for testing the independence in a 2x2 table for the model I (no fixed marginals) , II (one marginal fixed) and III (two marginal fixed)

Programs for 2×K tables

Programs for a linear combination of K binomial proportions (p1 to pk)

Z_LINEAR_K  provides the asymptotical inferences (score method) for the linear function L=b₁p₁+...+b_kp_k

Programs for the multivariate hypergeometric distribution and 2 x c contingency tables

MHD2XC provides a maximum probability point (mode) of the multivariate hypergeometric distribution (and the probability of this point) and a maximum probability 2xc contingency table with fixed marginal sums and row and column independence.

MHD2xc_s provides all maximum probability points (modes) of the multivariate hypergeometric distribution (and the probability of this points) and all maximum probability 2xc contingency tables with fixed marginal sums and row and column independence.

FET2xc implements Fisher's Exact Test in 2xc contingency tables, and it provides both the probability of the observed 2xc table and the exact p-value of the test.

FET2xc_i implements Fisher's Exact Test in 2xc contingency tables, with both the computing time and the amount of memory required being controlled by the requested number of exact figures in the p-value of the test.

Programs for R×C tables

Programs for R×C contingency tables

PD_T_rxc provides the probability distribution of the rxc tables with fixed marginal sums and row and column independence. It provides several output options (see additional information)

Programs for other purposes

DELTA provides the Delta and Kappa measures of agreement between two raters (categorical data)

^{CASTILLA LA MANCHA  - OED}

Nombre: BIOKMOD

Autor: Dr. Guillermo Sánchez  León.

http://www3.enusa.es/webMathematica/Public/biokmod.html

BiokmodWeb site has been developed in Mathematica, webMathematica and Java. It runs on line, you do not need other think that your browser. It contains some features of the Mathematica Tool BIOKMOD to be applied in pharmacokinetic, internal dosimetry, and nuclear medicine.

You can make directly in this website:

·       To build compartmental models (constant and variable coefficients can be used) in a very easy way generating automatically the system of differential equations and their solutions, graphic representation and US (disintegrations). A specific function for multiinputs (single and constant inputs) is included.

• To solve ICRP Models for practically all isotopes (including some specific options for Lung and Respiratory Tract) obtaining the Intake Retention Fractions (IRF), their analytical expressions (intake retention functions), the compartmental contents and the graphic representations. Acute, constant -chronic, continuous (variable in the time) and multi-inputs,  even random, intakes can be used. You can accepted the default parameters or introduce specific values.  They can be used to bioassay evaluations and for research and education purposes.
• To compute the committed doses for some isotopes using non standard values. It can be expanded for many isotopes computing the accumulated disintegrations (with the function Desintegrations) and using the SEE factor supplied by other free programs as DCAL .
• An optimal design function is included. It can be used to establish the best moment where experimental sample or bioassay should be taken.
• Fitting functions for non linear fitting. They are applied some optimization developed by the authors an other algorithms included  in Mathematica,
• A function for evaluating uncertainties analytically.

The BiokmodWeb is considerably expanded by  BIOKMOD (Mathematica is required). It can be downloaded pushing here, including detailed information about the program.

For additional information visit the author website:http://web.usal.es/guillermo.  If you have comments, bug reports or suggestions sends an e-mail to author Guillemo Sánchez.

^{CASTILLA LA MANCHA  - OED}

Nombre: Herramientas para cálculos matemáticos , estadísticos, ajustes y representaciones gráficas

Autor: Dr. Guillermo Sánchez León

http://www3.enusa.es/webMathematica/Public/Public-index.html

Aquí se incluyen un conjunto de funciones que permiten realizar cálculos matemáticos (calculadora, derivación, integración, ecuaciones diferenciales, sistemas de ecuaciones diferenciales por métodos analíticos y numéricos etc.), estadísticos (test de hipotesis, test de normalidad, intervalos de confianza y de tolerancia, calculos de k(P/p), etc), ajustes de curvas, representaciones gráficas en 2D y 3D, optimización lineal y no lineal y más cosas. Si necesitas realizar cálculos que no se puedan realizar con las herramientas habituales puedes proponer que se incluyan aquí. Observa que una de las grandes ventajas es que estos estarán disponibles desde cualquier ordenador que esté conectado a Internet.

^{CASTILLA LA MANCHA  - OED}

Nombre: Optimal Experimental Design

Autor: Dr. Juan Manuel Rodríguez Díaz

http://www3.enusa.es/webMathematica/OED/OED-index.html

This section is devoted to the Optimal Design of Experiments subject. From general algorithms for computing optimal designs in an iterative process to adaptations for gaining in efficiency (computing time) for particular cases, including Elfving's method for c-optimality, optimal designs for very popular models, etc. Of course, the main advantage is that they will be avaliable for any user through Internet.

^GALICIA

Name: Epilinux

Description: EpiLinux is a free Operating System Sistema Operativo especially oriented to the use of tools for epidemiologic and biostatistical analysis.

http://www.sergas.es/mostrarcontidos_n3_t01.aspx?idpaxina=50178

^GALICIA

Name: p3state.msm.

Authors: Luís Meira-Machado and Javier Roca-Pardiñas

Description: p3state.msm provides functions for estimating semi-parametric regression models but also to implement nonparametric estimators for the transition probabilities. The methods can also be used in progressive three-state models. In progressive three-state models, estimators for other quantities such as the bivariate distribution function (for the sequentially ordered events) are also given.

^GALICIA

Name: ROCRegresion

Description: R package that allows for an evaluation of the effect of covariates in the discrimation capacity measured by the ROC curve of a continuous marker.