Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 175, No. 2 (APRIL 2012), pp. 417-433 (17 pages) The 'Clinical antipsychotic trials in intervention effectiveness' study ...

Semivarying models extend varying coefficient models by allowing some regression coefficients to be constant with respect to the underlying covariate(s). In this paper we develop a semivarying joint ...

The lectures on this page should be watched before the live sessions on Tuesday, June 14, 2022 (Wednesday, June 14 in some time zones). Total viewing time for this lecture series is 1 hour 40 minutes.

We continue the exploration of the statistical landscape, including polygenic risk scores (calculation and evaluation), longitudinal models, to conclude on how Statistical Equation Modeling (SEM) can ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...