Corpus ID: 88523249

Congenial Causal Inference with Binary Structural Nested Mean Models

@inproceedings{Wang2017CongenialCI,
  title={Congenial Causal Inference with Binary Structural Nested Mean Models},
  author={Linbo Wang and Thomas S. Richardson and James M. Robins},
  year={2017}
}
Structural nested mean models (SNMMs) are among the fundamental tools for inferring causal effects of time-dependent exposures from longitudinal studies. With binary outcomes, however, current methods for estimating multiplicative and additive SNMM parameters suffer from variation dependence between the causal SNMM parameters and the non-causal nuisance parameters. Estimating methods for logistic SNMMs do not suffer from this dependence. Unfortunately, in contrast with the multiplicative and… CONTINUE READING

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