Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

PSARPS

Financiado

Cerrado

Practical statistical approaches for addressing replicability problems in life...

Practical statistical approaches for addressing replicability problems in life sciences Lack of replicability of scientific discoveries has surfaced too often in recent years, and even reached the attention of the general public. An ignored cause is the inappropriate statistical treatment of two statistical problems:... ver más

28/02/2018

TAU

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

TEL AVIV UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2018-02-28 No tenemos la información de la convocatoria

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

TAU

0.00€ | Lider

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

MTM2010-16087 INFERENCIA ESTADISTICA BAJO INCERTIDUMBRE EN LOS MODELOS: AP... 7K€ Cerrado

PSI2017-82490-P META-ANALISIS Y SESGO DE PUBLICACION: DESARROLLO DE LA ESTRA... 19K€ Cerrado

MTM2012-37129 CONTRIBUCIONES DE LA INFERENCIA CON RESTRICCIONES EN REGRESI... 34K€ Cerrado

SAF2013-50139-EXP IDENTIFICACION DE POBLACIONES QUE MUESTRAN CORRELACIONES LIN... 63K€ Cerrado

PID2020-115486GB-I00 EVALUACION EN PROGRAMAS DE INTERVENCION DESDE UNA PERSPECTIV... 48K€ Cerrado

MTM2012-35591 ANALISIS ESTADISTICO DE DATOS CATEGORICOS DESDE UNA PERSPECT... 55K€ Cerrado

Líder del proyecto

TEL AVIV UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Lack of replicability of scientific discoveries has surfaced too often in recent years, and even reached the attention of the general public. An ignored cause is the inappropriate statistical treatment of two statistical problems: (1) selective inference, manifested in selecting few promising leads following the statistical analysis of the potential many, where ignoring the selection process on estimates, confidence intervals and observed significance; (2) using too optimistic a yardstick of variation with which confidence intervals set and statistical significance of the potential discovery is judged, as a result of ignoring the variability between laboratories and subjects. The first problem becomes more serious as the pool of potential discoveries increases, the second paradoxically becomes more serious as measuring ability improves, which explain why the two problems are more prominent in recent years. Both problems have statistical solutions, but the solutions are not practical as they burden the analysis to a point where the power to discover new findings is exceedingly low. Therefore, unless required by regulating agencies, scientists tend to avoid using these solutions. I propose to develop methods that address such replicablity problems specific to medical research, epidemiology, genomics, brain research, and behavioral neuroscience. The methods include (a) new hierarchical weighted procedures, and model selection methods, that control the false discovery rate in testing; (b) shorter confidence intervals that offer false coverage-statement rate for the selected, both addressing the concern about selective inference; and (c) a compromise between using random effects models for the laboratories and subjects and treating them as fixed, to be aided by multiple laboratory database in behavior genetics and neuroscience. By serving the exact needs of scientists, while avoiding excessive protection, I expect the offered methodologies to become widely adapted.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores