data analysis


bayes Bayesian data analysis, modeling, inference data reduction data reduction (principal components, etc.), clustering, unsupervised learning accuracy accuracy and information measures, discriminaton, calibration probability Probability theory, meaning, and application exclusive of statistical tests, etc. generalizability Generalizability of studies and statistical inferences, sample representativeness, target population formal statistical tests and inference descriptive descriptive and exploratory data analysis, hypothesis generating more than confirmatory analysis model validation model validation and interpretation comparative methods comparative performance of statistical analysis methods and predictive modeling approaches machine learning machine learning, exclusive of traditional statistical models models Formulation, parameter estimation, and interpretation of specific statistical models causal inference Methods and approaches to causal inference variable selection Selection of predictive features in multivariable modeling, one-at-a-time screening of variables, and the cost of feature selection compared to using fuller models, possibly with penalization (shrinkage; regularization). modeling strategy General model specification issues, nonlinearities, interactions and heterogeneity of treatment effect, avoiding categorization, how to sequence multiple steps (which may involve multiple imputation and data reduction) data problems statistical approaches dealing with missing data and measurement error uncertainty Quantifying uncertainty, displaying uncertainty, estimation of uncertainty, incorporation of uncertainty into decision making, etc. This includes but is not limited to confidence intervals, standard errors, Bayesian credible intervals, and sources of uncertainty. reporting This subcategory relates to how results of data analyses should be reported, for example which summary statistics should be reported for a logistic regression model.
Topic Replies Activity
About the data analysis category 2 January 21, 2019
Transformation of predictors and interpretation of the coefficients by backward stepwise and lasso 4 April 6, 2020
How to determine the age cut-off to be used in prediction model by the restricted cubic spline? 10 April 6, 2020
Visualization for Benefit of COVID-19 Testing for Decreasing Provider Risk During Intubation 2 April 2, 2020
Quality of life surveys and proportional odds models 16 May 9, 2019
COVID-19 Death Prediction Modeling Strategy Discussion 1 March 29, 2020
About collinearity 3 March 28, 2020
Reference Collection to push back against "Common Statistical Myths" 35 March 26, 2020
Clarification on chance-corrected adequacy measure for a subset of predictors 2 March 26, 2020
Comparing like variables in logistic regression -- variable selection issue vs. model selection issue? 8 March 24, 2020
"Impressive" or "anecdotal"? Hydroxychloroquine + Azithromycin vs COVID-19 preprint 5 March 22, 2020
Paper: Machine learning for the prediction of sepsis 3 March 18, 2020
Frequentist or Bayesian for Large Data 5 March 10, 2020
Presenting models of multiple (potentially recurring) outcomes 2 March 6, 2020
Model selection process 2 March 5, 2020
Correlation methods for various data variable types 2 March 4, 2020
Multilevel logistic regression, cluster-specific probabilities 5 March 3, 2020
Power for interaction effects 7 February 24, 2020
Unequal Intervals When Using Pooled Logistic Regression for Longitudinal Data 3 February 21, 2020
Predictive model for drug related problems (DRPs) 4 February 21, 2020
How to control for baseline covariates in repeated measures analysis 2 February 19, 2020
What defines "nested model" for the likelihood ratio test? 1 February 17, 2020
Validating elastic-net model with binary outcome 3 February 17, 2020
Pooled and conditional logistic regression 6 February 16, 2020
Time-to-event analysis in nested case-control designs 1 February 16, 2020
Are synthetic controls tantamount to clinical prediction models? 2 February 15, 2020
Confidence band for the ROC curve 3 February 10, 2020
Who should define reasonable priors and how? 12 February 8, 2020
Repeated measures at different time intervals for the last follow up 2 February 6, 2020
Confidence intervals for bootstrap-validated bias-corrected performance estimates 13 February 6, 2020