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Uncertainty Quantification of Finite Element Strain Predictions for a Nitinol Medical Device: Influence of Input Parameter Probability Distribution on Output Uncertainty. [PDF]

Cardiovasc Eng Technol
Carr IA, Aycock KI, Paranjape H, Bonsignore C, Weaver JD, Craven BA.   +5 more
europepmc   +1 more source

Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach. [PDF]

Stat Med
Sultana N, Alam M, Hasinur Rahaman Khan M.   +2 more
europepmc   +1 more source

Early Phase Dose-Finding Designs for CAR-T Cell Therapies. [PDF]

Pharm Stat
Chen W, Mozgunov P, Mullaert J, Paoletti X.   +3 more
europepmc   +1 more source

Reliability, bias, and computational cost of estimating the Bayes factor using bridge sampling and the Savage-Dickey density ratio. [PDF]

Behav Res Methods
Oberauer K, Musfeld P, Aust F.
europepmc   +1 more source

Electoral governance as a political determinant of health: state policy context, risk perception, and voter safety. [PDF]

Front Public Health
Ortiz SE, Seto CH.
europepmc   +1 more source

Left atrial strain parameters for predicting new-onset atrial fibrillation: a systematic review and meta-analysis. [PDF]

Front Cardiovasc Med
Yang H, He Y, Peng L, Wang D, Yang J, Yin L.   +5 more
europepmc   +1 more source

(Non)probability sampling in survey reseach

openaire   +1 more source

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Non-probability Sampling

, 2016
A sample is a subset of a population and we survey the units from the sample with the aim to learn about the entire population. However, the sampling theory was basically developed for probability sampling, where all units in the population have known and positive probabilities of inclusion. This definition implicitly involves randomization, which is a
Vasja Vehovar, Vera Toepoel, S. Steinmetz   +2 more
semanticscholar   +5 more sources