7 problems

The missing-data logistic regression model is defined by observations $(\boldsymbol{Z},\boldsymbol{y})$ obtained under the missing-data model considered in the paper, with posterio…

Regression–weighting equivalence conjecture. The equivalence between regression and weighting also holds even with missing covariates.

Approximate Gaussianity conjecture. The error $S_{i,j}-S_{i,j}^{\star}=W_{i,j}+A_{i,j}$ is approximately distributed as

Let $f$ denote the true data-generating function, and let $\widehat{f}$ be the estimate produced by the modified USVT estimator. Under a model that is correct, compare this estimat…

Let $G$ be a large graph with a block structure, or a structure close to a block structure. Suppose that a small subgraph is sampled and that only a small number of links from each…

Let the $1^\star$-TMLE and the 1-TMLE be the two estimators for the mean of an outcome missing at random, and suppose that the observed finite-sample gains of the $1^\star$-TMLE ov…

Let the $1^\star$-TMLE and the 1-TMLE be the two estimators for the mean of an outcome missing at random described in the paper. The 1-star-TMLE conjecture. The $1^\star$-TMLE impr…