As real-world data (RWD) become more readily available, the regulatory agencies, medical product developers, and other key stakeholders have increasing interests in exploring the …
MJ van der Laan, RJCM Starmans - Advances in Statistics, 2014 - Wiley Online Library
This outlook paper reviews the research of van der Laan's group on Targeted Learning, a subfield of statistics that is concerned with the construction of data adaptive estimators of …
M van der Laan, S Gruber - The international journal of biostatistics, 2016 - degruyter.com
Consider a study in which one observes n independent and identically distributed random variables whose probability distribution is known to be an element of a particular statistical …
The objective of this chapter is to describe how the TMLE framework can be generalized to explicitly utilize higher-order rather than first-order asymptotic representations. The practical …
About forty years ago, in a now–seminal contribution, Rosenbaum and Rubin (1983) introduced a critical characterization of the propensity score as a central quantity for drawing …
Causal inference generally requires making some assumptions on a causal mechanism followed by statistical estimation. The statistical estimation problem in causal inference is …
MJ van der Laan, S Rose, S Rose… - Targeted Learning in …, 2018 - Springer
The types of research questions we face in medicine, technology, and business continue to increase in their complexity with our growing ability to obtain novel forms of data. Much of …
In randomized trials, adjustment for measured covariates during the analysis can reduce variance and increase power. To avoid misleading inference, the analysis plan must be pre …
Monitoring mechanisms under the United Nations (UN) core human rights treaties include state reporting, inter-state communications, individual communications, inquiries, and …