Por Eunice Carrasquinha (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa).
Por Marco Aurélio Sanfins (DE-IME, Universidade Federal Fluminense).
Por Pedro Oliveira (Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto).
The course starts with a revision of multiple linear regression, followed by a basic introduction to generalised additive models (GAM) to analyse continuous data, count data and binary/proportional data.
In the second part of the course generalised additive mixed effects models (GAMM) are introduced to analyse nested data.
During the course several case studies are presented, in which the statistical theory is integrated with applied analyses in a clear and understandable manner.
We begin with an introduction to R and provide a protocol for data exploration to avoid common statistical problems. We will discuss how to detect outliers, deal with collinearity and transformations.
Por Manuel Ribeiro (CERENA, Instituto Superior Técnico, Universidade de Lisboa).
Por Irantzu Barrio (DMAEIO, Universidad del País Vasco / Euskal Herriko Unibertsitatea).
Parametric estimators for the mean value and the second moment functions of a stochastic monotone process with exponential interarrival times
Por Mustafa Hilmi Pekalp (Department of Statistics, Faculty of Science, Ankara University).
Applying generalized linear models to estimate group size and improve Blainville's beaked whale abundance estimation
Por Patrícia Jorge (DEIO, Faculdade de Ciências da Universidade de Lisboa).
Por Prof. Robert Weiss (Dep. Biostatistics, Fielding School of Public Health, University of California at Los Angeles - UCLA)