# Statistical Methods in Epidemiology

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/statistical-methods-in-epidemiology/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on various methodological aspects of sample size calculation, logistic regression, predictive modeling, and epidemiologic research. It addresses issues such as sparse data bias, measurement error, risk factors identification, and statistical analysis in clinical studies. |
| Domain | Physical Sciences |
| Field | Mathematics |
| OpenAlex ID | t14374 |
| Works | 46 |

## Topic papers all

Showing 15 of 46.

- [Regression Modeling Strategies](https://scholariq.org/papers/regression-modeling-strategies-2/)
- [Calculating the sample size required for developing a clinical prediction model](https://scholariq.org/papers/calculating-the-sample-size-required-for-developing-a-clinical-prediction-model/)
- [The Inconsistency of “Optimal” Cutpoints Obtained using Two Criteria based on the Receiver Operating Characteristic Curve](https://scholariq.org/papers/the-inconsistency-of-optimal-cutpoints-obtained-using-two-criteria-based-on-the/)
- [Reducing bias through directed acyclic graphs](https://scholariq.org/papers/reducing-bias-through-directed-acyclic-graphs/)
- [The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women](https://scholariq.org/papers/the-use-of-clinical-risk-factors-enhances-the-performance-of-bmd-in-the/)
- [Competing risks in epidemiology: possibilities and pitfalls](https://scholariq.org/papers/competing-risks-in-epidemiology-possibilities-and-pitfalls/)
- [Fragility fractures in Europe: burden, management and opportunities](https://scholariq.org/papers/fragility-fractures-in-europe-burden-management-and-opportunities/)
- [External validation of multivariable prediction models: a systematic review of methodological conduct and reporting](https://scholariq.org/papers/external-validation-of-multivariable-prediction-models-a-systematic-review-of/)
- [Good practices for quantitative bias analysis](https://scholariq.org/papers/good-practices-for-quantitative-bias-analysis/)
- [Extending the simple linear regression model to account for correlated responses: An introduction to generalized estimating equations and multi-level mixed modelling](https://scholariq.org/papers/extending-the-simple-linear-regression-model-to-account-for-correlated-responses/)
- [Red Blood Cell Distribution Width and Mortality Risk in a Community-Based Prospective Cohort](https://scholariq.org/papers/red-blood-cell-distribution-width-and-mortality-risk-in-a-community-based/)
- [Marginal Effects—Quantifying the Effect of Changes in Risk Factors in Logistic Regression Models](https://scholariq.org/papers/marginal-effects-quantifying-the-effect-of-changes-in-risk-factors-in-logistic/)
- [Exercise and Sports Science Australia (ESSA) position statement on exercise prescription for the prevention and management of osteoporosis](https://scholariq.org/papers/exercise-and-sports-science-australia-essa-position-statement-on-exercise/)
- [Platelet-to-lymphocyte ratio in advanced Cancer: Review and meta-analysis](https://scholariq.org/papers/platelet-to-lymphocyte-ratio-in-advanced-cancer-review-and-meta-analysis/)
- [Comparing smoothing techniques in Cox models for exposure–response relationships](https://scholariq.org/papers/comparing-smoothing-techniques-in-cox-models-for-exposure-response-relationships/)

## Topic primary papers

- [Regression Modeling Strategies](https://scholariq.org/papers/regression-modeling-strategies-2/)
- [The Inconsistency of “Optimal” Cutpoints Obtained using Two Criteria based on the Receiver Operating Characteristic Curve](https://scholariq.org/papers/the-inconsistency-of-optimal-cutpoints-obtained-using-two-criteria-based-on-the/)
- [Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations](https://scholariq.org/papers/quantifying-possible-bias-in-clinical-and-epidemiological-studies-with/)
- [Child and Maternal Mortality Risk Factor Analysis Using Machine Learning Approaches](https://scholariq.org/papers/child-and-maternal-mortality-risk-factor-analysis-using-machine-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.