by Usha Govindarajulu | Feb 26, 2025 | Biostatistics, Blog, Usha Govindarajulu
February 26, 2025 The authors have used network meta-analysis (NMA) to compare multiple treatments simultaneously using restricted mean survival time (RMST) with individual level data (IPD). Since the NMA was mainly used with aggregate data, they had to extend this...
by Usha Govindarajulu | Feb 12, 2025 | Biostatistics, Blog, Usha Govindarajulu
February 12, 2025 The authors focused on causal mediation analysis in survival analysis, more specifically with additive hazards modeling with an exposure by mediator interaction term. The causal mediation framework had come about over time from the mediation area and...
by Usha Govindarajulu | Jan 29, 2025 | Biostatistics, Blog, Usha Govindarajulu
January 29, 2025 Many analyses have used clustered data but not everyone considers that clusters may be informative. For example, generalized estimating equations (GEE) and marginal proportional hazards model have been widely used to estimate population-average...
by Usha Govindarajulu | Jan 15, 2025 | Biostatistics, Blog, Healtcare, Usha Govindarajulu
January 15, 2025 In this paper the authors proposed prognostic accuracy measures for recurrent event data. They did so by developing semiparametric estimators for making inferences about the prognostic accuracy measures that accommodate recurrent events. Usually a...
by Usha Govindarajulu | Jan 2, 2025 | Biostatistics, Blog, Usha Govindarajulu
January 1, 2024 The authors were interested in the average treatment effect (ATE) which reflects how the treatment affects the potential outcome. In order to estimate ATE, propensity scores have been adapted for their estimation. such as the inverse probability...
by Usha Govindarajulu | Dec 18, 2024 | Biostatistics, Blog, Usha Govindarajulu
December 18, 2024 Marginal structural models (MSMs) are often used in settings for longitudinal studies with time-varying treatment or covariates observed for each individual at several time points when trying to estimate the causal effects in a way that accounts for...
