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relative-risk

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ikosmidis / brglm2

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Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

r statistics algorithms regression estimation rstats logistic-regression glm odds-ratio negative-binomial-regression ordinal-regression multinomial-regression regression-algorithms bias-reduction relative-risk high-dimensional-inference nominal-responses ordinal-responses adjusted-score-equations bias-reducing-adjustments
  • Updated Aug 16, 2026
  • R

ETAYLOR1111 / Car-Insurance-Claims-Analysis

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SQL analysis of car insurance claims to identify high-risk policyholder groups based on demographic, behavioural and vehicle-related attributes. This project calculates policyholder share, claim share, claim frequency and relative risk ratio to highlight groups with heightened claim behaviour.

sql insurance cte characteristics premium car-insurance insurance-claims relative-risk claim-frequency acturial
  • Updated Jul 17, 2026

vmsatya / SequentialTherapySecondCancer

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We employed a biologically motivated mathematical model to estimate the radiation and chemotherapy-induced relative risks of thyroid malignancies in four childhood cancer study survivors (CCSS) data sets. the predictions of radiation and chemotherapy-induced relative risks of secondary thyroid malignancies using the mathematical model are compar…

radiation chemotherapy mutation-rate radiation-therapy relative-risk second-cancer thyroid-malignancies
  • Updated Oct 14, 2018
  • MATLAB

jprmaulion / kan-forecasting-leishmaniasis-colombia-relative-risk

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KAN-based forecasting of monthly cutaneous leishmaniasis in Antioquia, Colombia, using log relative risk as the target and Kolmogorov–Arnold Networks to integrate climate/ENSO signals, seasonality, and autoregressive dynamics for reproducible, adaptive 12-month forecasts.

python machine-learning forecasting epidemiology colombia infectious-diseases relative-risk antioquia leishmaniasis kolmogorov-arnold-networks
  • Updated Feb 28, 2026
  • Jupyter Notebook

vmsatya / ConcurrentTherapySecondCancer

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A biologically motivated mathematical formalism is used to estimate the relative risks of breast, lung and thyroid cancers in childhood cancer survivors due to concurrent therapy regimen. This model specifically includes possible organ-specific interaction between radiotherapy and chemotherapy. The model predicts relative risks for developing se…

treatment-effects radiotherapy chemotherapy mutation-rate relative-risk second-cancer childhood-cancer-survivors-study chemo-radiation treatment-interaction concurrent-therapy
  • Updated Oct 14, 2018
  • MATLAB

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