data analysis
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)
Confidence score for survival model
[
uncertainty
]
(3)
Absolute risk measures from count models
[
formal
]
(7)
Calibration of Cox model
[
model validation
]
(2)
Assessing predictive accuracy in prospective studies and the effect of interventions
[
models
]
(4)
Risk Prediction Problem
[
modeling strategy
]
(2)
Cox regression and covariate selection
[
modeling strategy
]
(5)
Estimating equations in a repeated measures setting
[
models
]
(4)
Examining the 'penumbra theory' via NINDS reanalysis
[
descriptive
]
(7)
Choosing statistical paradigms by studying the quality of decisions to which they lead
(
2
)
[
comparative methods
]
(37)
Alternative to poisson modelling with ordinal regression
[
models
]
(2)
Alternative to logistic regression in case of non-linearity
[
modeling strategy
]
(6)
95% prediction intervals for risk calculator
[
modeling strategy
]
(9)
Model selection and assessment of model fit
[
modeling strategy
]
(17)
Fitting unrestricted model after LASSO to avoid over-shrinkage?
[
modeling strategy
]
(6)
Variable selection when there is a covariate of main interest
[
modeling strategy
]
(5)
Time varying survival models for effectiveness of dual and triple drug therapies
[
models
]
(2)
Is it reasonable to adjust for a post-baseline covariate?
[
models
]
(10)
Prediction with Regression - Transforming Variables
[
modeling strategy
]
(2)
Multiple observations per patient, multiple binary variables, and a binary outcome
[
models
]
(9)
Linkage Disequilibrium Influence on Regression Results
[
models
]
(1)
What are the problems, if any, of including individuals with only one data-point in studies of change over time in repeated-measure data?
[
models
]
(8)
Adherence adjustment in randomized trials is possible, here's why
[
causal inference
]
(4)
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