Time Series Modeling in Longitudinal Clinical Studies — Hands-on

Build robust forecasting and risk-stratification models for longitudinal clinical and biomedical time series. Learn leakage-safe evaluation, irregular sampling handling, advanced classical models, deep temporal architectures, and uncertainty-aware decision support—complete with reproducible pipelines and governance-ready reports.

Time Series Modeling in Longitudinal Clinical Studies

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Session Index

Session 1 — Data, Irregularity & Leakage Control Session 2 — Classical TS & Probabilistic Models Session 3 — Deep Temporal Models & Transformers Session 4 — Mini Capstone: Patient Trajectory Model

Session 1

Fee: Rs 13,400

Data, Irregularity & Leakage Control

Clinical TS characteristics & preprocessing

irregular sampling event vs time indexing alignment/windowing

Missingness & imputation strategies

LOCF/forward-fill Gaussian processes interpolation/smoothing

Leakage-safe evaluation

purged/embargo CV roll-forward backtests patient-level splits

Session 2

Fee: Rs 18,600

Classical TS & Probabilistic Models

Forecasting & decomposition

ARIMA/ARIMAX/SARIMA ETS & Prophet seasonalities/holidays

State-space & latent-variable models

Kalman/VAR/VECM HMMs & regime shifts changepoints/anomaly

Toolchain

statsmodels sktime darts/gluonts

Session 3

Fee: Rs 24,200

Deep Temporal Models & Transformers

Neural sequence models

RNN/GRU/LSTM TCN seq2seq/attention

Transformers for time series

Informer/TimesNet Temporal Fusion Transformer multivariate forecasting

Uncertainty & calibration

quantile/interval forecasts conformal prediction decision curves

Session 4

Fee: Rs 30,400

Mini Capstone: Patient Trajectory Model

End-to-end forecasting/risk model on a real clinical TS

Theory + Practical

Evaluation & monitoring dashboard

backtests/rolling AUC calibration curves drift alerts

Deliverables: code, metrics & clinical brief

notebook/script forecast plots PDF/HTML

PDF

Time Series Modeling in Longitudinal Clinical Studies Training | Forecasting, Deep Temporal Models, Uncertainty

Time Series Modeling in Longitudinal Clinical Studies — Hands-on