Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: The number of subjects per variable required in linear regression analyses
Relaxing the Rule of Ten Events per Variable in Logistic and Cox Regression
Minimax Subsampling for Estimation and Prediction in Low-Dimensional Linear Regression
Sample size: How many is enough?
Statistics review 7: Correlation and regression
Structural Equation Modeling And Regression: Guidelines For Research Practice
Statistics in Brief: The Importance of Sample Size in the Planning and Interpretation of Medical Research
A stepwise regression method and consistent model selection for high-dimensional sparse linear models
Simple linear and multivariate regression models
Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs
EXTENDING CORRELATION AND REGRESSION FROM MULTIVARIATE TO FUNCTIONAL DATA ∗
A random-effects regression model for meta-analysis.
Spectral Experts for Estimating Mixtures of Linear Regressions
Sample-Size Determination
Sample size estimation and power analysis for clinical research studies
Sample size calculations: basic principles and common pitfalls
A Principal Components Approach to Combining Regression Estimates
Power analysis and determination of sample size for covariance structure modeling.
Sample Size Requirements for Estimation of Item Parameters in the Multidimensional Graded Response Model
Algorithms for regression and classification: robust regression and genetic association studies
A linear regression model for the analysis of life times
Online Off-policy Prediction
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
Multivariate data analysis of NMR data.
An IoT based system for remote patient monitoring
Assessing information technology investments with an integrative process framework