4 citations · 6 across the 6 of their papers we have counts for
6 papers
Discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics
Dario Gasbarra, Kaie Kubjas, Sangita Kulathinal +3
We study discrete-time, discrete-state multistate Markov models from the perspective of algebraic statistics. These models are widely studied in event history analysis, and are cha…
Estimating Transition Rates in Two-State Non-Homogeneous Markov Jump Processes with Intermittent Observations: A Pseudo-Marginal McMC Approach via Honest Times
Dario Gasbarra, Sangita Kulathinal, Etienne Sebag
A possibly time-dependent transition intensity matrix or generator characterizes the law of a Markov jump process (MP). For a time homogeneous MP, the transition probabili…
Efficiency gain in association studies based on population surveys by augmenting outcome data from the target population
Tommi Härkänen, Sangita Kulathinal, Arya Panthalanickal Vijayakumar
Routinely collected nation-wide registers contain socio-economic and health-related information from a large number of individuals. However, important information on lifestyle, bio…
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Yogesh Kumar, Alexander Ilin, Henri Salo +3
Despite the proven effectiveness of Transformer neural networks across multiple domains, their performance with Electronic Health Records (EHR) can be nuanced. The unique, multidim…
Estimation of marriage incidence rates by combining two cross-sectional retrospective designs: Event history analysis of two dependent processes
Sangita Kulathinal, Minna Säävälä, Kari Auranen +1
The aim of this work is to develop methods for studying the determinants of marriage incidence using marriage histories collected under two different types of retrospective cross-s…
Optimal design of observational studies: overview and synthesis
Juha Karvanen, Jarno Vanhatalo, Kari Auranen +2
We review typical design problems encountered in the planning of observational studies and propose a unifying framework that allows us to use the same concepts and notation for dif…