Pages that link to "Item:Q3391610"
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The following pages link to An Introduction to Optimal Designs for Social and Biomedical Research (Q3391610):
Displaying 50 items.
- Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs (Q134017) (← links)
- A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models (Q134019) (← links)
- An exchange algorithm for optimal calibration of items in computerized achievement tests (Q160189) (← links)
- A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models (Q261002) (← links)
- D-optimal designs based on the second-order least squares estimator (Q513688) (← links)
- Bayesian optimal cluster designs (Q670119) (← links)
- Optimal designs for the Rasch model (Q692412) (← links)
- Optimal Bayesian adaptive design for test-item calibration (Q748198) (← links)
- Information measures and design issues in the study of mortality deceleration: findings for the gamma-Gompertz model (Q825263) (← links)
- Bayesian \(D\)-optimal designs for the two parameter logistic mixed effects model (Q1621388) (← links)
- The influence of a covariate on optimal designs in longitudinal studies with discrete-time survival endpoints (Q1623493) (← links)
- Maximin efficiencies under treatment-dependent costs and outcome variances for parallel, AA/BB, and AB/BA designs (Q1634258) (← links)
- An algorithm based on semidefinite programming for finding minimax optimal designs (Q1662093) (← links)
- R-optimal designs for multi-factor models with heteroscedastic errors (Q1683640) (← links)
- Continuous online item calibration: parameter recovery and item utilization (Q1695645) (← links)
- Adaptive grid semidefinite programming for finding optimal designs (Q1702022) (← links)
- SamP2Cet: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials (Q1729326) (← links)
- Greedy active learning algorithm for logistic regression models (Q1799821) (← links)
- Optimal treatment allocation and study duration for trials with discrete-time survival endpoints (Q1937208) (← links)
- Using SeDuMi to find various optimal designs for regression models (Q2010813) (← links)
- Minimax robust designs for regression models with heteroscedastic errors (Q2075031) (← links)
- \(G\)-optimal designs for hierarchical linear models: an equivalence theorem and a nature-inspired meta-heuristic algorithm (Q2100440) (← links)
- On the information obtainable from comparative judgments (Q2103575) (← links)
- Optimal item calibration for computerized achievement tests (Q2177744) (← links)
- A semi-infinite programming based algorithm for determining T-optimum designs for model discrimination (Q2256741) (← links)
- A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data (Q2258581) (← links)
- Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation (Q2259816) (← links)
- A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs (Q2291279) (← links)
- \(R\)-optimality criterion for regression models with asymmetric errors (Q2317262) (← links)
- Maximin and maximin-efficient event-related fMRI designs under a nonlinear model (Q2441834) (← links)
- Dual-objective optimal mixture designs (Q2802792) (← links)
- Optimal experimental designs for accelerated failure time with type I and random censoring (Q2922189) (← links)
- Optimal design of the Wilcoxon-Mann-Whitney-test (Q2956820) (← links)
- Optimal design of longitudinal data analysis using generalized estimating equation models (Q2980227) (← links)
- Optimal Designs for Multi-Response Nonlinear Regression Models With Several Factors via Semidefinite Programming (Q3391183) (← links)
- A class of optimization problems on minimizing variance based criteria in respect of parameter estimators of a linear model (Q5083891) (← links)
- Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials (Q5086016) (← links)
- Efficient sample size allocation with cost constraints for heterogeneous-variance group comparison (Q5129135) (← links)
- Robust integer-valued designs for linear random intercept models (Q5154081) (← links)
- D-optimal designs for beta regression models with single predictor (Q5220821) (← links)
- On the Choice of a Prior for Bayesian D-Optimal Designs for the Logistic Regression Model with a Single Predictor (Q5418910) (← links)
- Minimax A‐, c‐, and I‐optimal regression designs for models with heteroscedastic errors (Q6059444) (← links)
- D‐optimal designs for a continuous predictor in longitudinal trials with discrete‐time survival endpoints (Q6063617) (← links)
- Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach (Q6064606) (← links)
- Maximin design of cluster randomized trials with heterogeneous costs and variances (Q6085900) (← links)
- Constructing K-optimal designs for regression models (Q6099121) (← links)
- Optimal number of accrual groups and accrual group sizes in longitudinal trials with discrete-time survival endpoints (Q6552780) (← links)
- Bayesian and maximin A-optimal designs for spline regression models with unknown knots (Q6579411) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents (Q6606953) (← links)