Results 201 to 210 of about 63,489 (260)
Growth curve responses of two ECC-approved genotypes to locomotor, thermal, and nutritional challenges. [PDF]
Mattioli S +11 more
europepmc +1 more source
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe +2 more
wiley +1 more source
Double Asymptotic Expansion of Three-Center Electron Repulsion Integrals 2nd Derivatives. [PDF]
Olvera-Rubalcava FA +3 more
europepmc +1 more source
Model selection for causal inference in missing exposure problems
Abstract In causal inference, properly selecting the propensity score (PS) model is an important topic and has been widely investigated in observational studies. However, there are very few studies investigating the model selection issue for causal inference when the exposure is missing at random (MAR). When the exposure variable contains missing data,
Yuliang Shi, Yeying Zhu, Joel A. Dubin
wiley +1 more source
Quantifying Dependence Between Random Vectors: A New Index with Applications. [PDF]
Zhang X, Yin C.
europepmc +1 more source
Simulation dataset on power and size of Wald, likelihood-ratio, and score test statistics in parametric competing risks models under hybrid censoring. [PDF]
Nurmukhamedova NS.
europepmc +1 more source
Statistics of the Compression Ratio of a Variable-to-Variable Code: Exact Moments and Asymptotic Behavior. [PDF]
Merhav N.
europepmc +1 more source
An Introduction to Stochastic Deep Learning. [PDF]
Liang F.
europepmc +1 more source
A Class of Robust Estimators for Moment Condition Models. [PDF]
Keziou A, Toma A.
europepmc +1 more source

