data analysis


descriptive descriptive and exploratory data analysis, hypothesis generating more than confirmatory analysis bayes Bayesian data analysis, modeling, inference model validation model validation and interpretation 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. data reduction data reduction (principal components, etc.), clustering, unsupervised learning accuracy accuracy and information measures, discriminaton, calibration models Formulation, parameter estimation, and interpretation of specific statistical models formal statistical tests and inference machine learning machine learning, exclusive of traditional statistical models probability Probability theory, meaning, and application exclusive of statistical tests, etc. generalizability Generalizability of studies and statistical inferences, sample representativeness, target population comparative methods comparative performance of statistical analysis methods and predictive modeling approaches 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). causal inference Methods and approaches to causal inference 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)
About the data analysis category [data analysis] (2)
Who to read in snp/gwas/personalised medicine? [data analysis] (5)
So you've built a validated clinical prediction model, now what? [models] (8)
Optimism-correction for Lasso-Cox [model validation] (4)
Assess sensitivity of a binary screening result across other continuous covariate(s) [modeling strategy] (2)
Estimating mean survival from marginal and conditional models [data analysis] (2)
Calibration Question [model validation] (7)
Bayesian approach to diagnostic validity? [bayes] (4)
Interim Analysis & "Alpha Spending" in RCT's using Bayesian Analyses [bayes] (16)
Rebranding of "Statistics" as "Machine Learning" to Sound More Impactful & Negative Fallout ( 2 ) [machine learning] (24)
Calibration Curves for Clinical Prediction Models [model validation] (6)
Event-free survival > Overall survival? [data analysis] (7)
Event definition for survival analysis [data analysis] (3)
How to derive survival time on anonomised dates [data problems] (1)
Looking for guidance on model design for cohort study with recurrent events [modeling strategy] (4)
"Observed Power" and other "Power" Issues ( 2 ) [formal] (32)
Comparing 2 biomarkers using restricted cubic splines - how-to, interpretation, model building ( 2 3 4 ) [descriptive] (64)
Appropriate statistical analyses for predicting response to treatment [modeling strategy] (7)
Can Confidence Intervals Indicate Uncertainty/Precision? [uncertainty] (3)
Analysis and sample size calculation for split-mouth studies [descriptive] (1)
Derivation and Validation Cohort - Splitting the total sample [modeling strategy] (2)
Advice for Pooling Two RCTs in Studying Risk Factors for Chronic Pain [data analysis] (12)
Inverse probability weighting for treatment selection and loss to follow up in observational studies [data analysis] (16)
Joint models for longitudinal and time-to-event data analysis applied to RCTs [modeling strategy] (4)
Choosing penalty parameters for elastic net [variable selection] (4)
Question on modeling repeated outcomes among single patients [models] (10)
What is type I error? ( 2 3 ) [formal] (51)
Prevalence and probability [models] (4)
Troponin, its use and misuse to rule-out and rule-in heart attacks ( 2 3 ) [modeling strategy] (56)
Differential misclassification of the outcome (by exposure status) [data problems] (3)