| Estimating design operating characteristics in Bayesian adaptive clinical trials |
520:Y |
QCAS / 69 / 3-4 / 245 |
| A phase 3 trial analysis proposal for mitigating the impact of the COVID-19 pandemic |
520:B |
QCAS / 69 / 1-2 / 95 |
| Estimating pure-error from near replicates in design of experiments |
520:Y |
QCAS / 68 / 5-6 / 409 |
| Factorial designs for online experiments |
520:Y |
QCAS / 68 / 1-2 / 97 |
| Do spatial designs outperform classic experimental designs? |
520:Y |
QCAS / 67 / 5-6 / 421 |
| Repairing constrained experimental regions and designs for mixture or nonmixture variables when some design points are unacceptable |
520:Y |
QCAS / 66 / 5-6 / 417 |
| Design and analysis of confirmation experiments |
520:Y |
QCAS / 66 / 3-4 / 225 |
| Replication or exploration? Sequential design for stochastic simulation experiments |
520:Y |
QCAS / 66 / 1-2 / 95 |
| Response modeling approach to robust parameter design methodology using supersaturated designs |
520:Y |
QCAS / 65 / 1-2 / 89 |
| Reliability improvement of diamond drill bits using design of experiments |
520:Y |
QCAS / 65 / 1-2 / 93 |
| Analyzing two-stage experiments in the presence of
Interference |
520:Y |
QCAS / 64 / 5-6 / 467 |
| Considerations on testing secondary endpoints in group sequential design |
520:Y |
QCAS / 64 / 3-4 / 263 |
| Optimal designs for dose response curves with common parameters |
520:Y |
QCAS / 64 / 3-4 / 265 |
| Partial replication of small two-level factorial designs |
520:Y |
QCAS / 64 / 1-2 / 105 |
| Bayesian design of experiments for generalized linear models
and dimensional analysis with industrial and scientific application |
520:Y |
QCAS / 63 / 5-6 / 457 |
| Confirmation runs in design of experiments |
520:Y |
QCAS / 63 / 3-4 / 239 |
| Identifying the structure of the experimental design |
520:Y |
QCAS / 63 / 3-4 / 243 |
| An experimental diagnostic procedure to identify the source of defects in multi-stage and multi-component production processes |
520:Y |
QCAS / 63 / 3-4 / 245 |
| Optimal designs for quadratic regression with random block effects: The case of block size two |
520:Y |
QCAS / 63 / 3-4 / 247 |
| Process optimization through designed experiments to achieve
consistency in output color of a compounded plastic grade |
520:M |
QCAS / 61 / 4 / 375 |
| Universally optimal designs for two interference models |
520:Y |
QCAS / 61 / 3 / 253 |
| Dynamic Bayesian analysis for irregularly and incompletely
observed contingency tables |
520:Y |
QCAS / 59 / 5-6 / 507 |
| A framework for initial experimental design in the presence of competing prior knowledge |
520:Y |
QCAS / 59 / 5-6 / 509 |
| On estimating the mean of the selected normal population in two-stage adaptive designsller Title: please update |
520:Y |
QCAS / 59 / 4 / 359 |
| Methods for planning repeated measures degradation studies |
520:Y |
QCAS / 59 / 3 / 243 |
| Sequential estimation for covariate-adjusted response-adaptive designs |
520:Y |
QCAS / 59 / 1-2 / 125 |
| Three-stage industrial strip-plot experiments |
520:Y |
QCAS / 59 / 1-2 / 127 |
| Experimental designs for identifying casual mechanisms |
520:Y |
QCAS / 59 / 1-2 / 129 |
| A Bayesian nonparametric model for Taguchi’s on-line quality monitoring procedure for attributes |
520:Y |
QCAS / 58 / 5-6 / 537 |
| Designed experiments for the defense community |
520:Y |
QCAS / 58 / 4 / 361 |
| Data transformations with a full 26 experimental design: A metal-cutting case study |
520:Y |
QCAS / 58 / 4 / 363 |
| Fraud in clinical trials: Detecting it and preventing it |
520:B |
QCAS / 58 / 3 / 233 |
| Optimum design of experiments for statistical inference |
520:Y |
QCAS / 58 / 3 / 235 |
| Optimization of designed experiments based on multiple
criteria utilizing a Pareto frontier |
520:Y |
QCAS / 58 / 1-2 / 85 |
| Simulated annealing model search for subset selection in screening experiments |
520:Y |
QCAS / 58 / 1-2 / 87 |
| Some inferential procedures in randomized repeated measurement design for binary response |
520:Y |
QCAS / 58 / 1-2 / 89 |
| Multi-treatment optimal response-adaptive designs for phase
III clinical trials |
520:Y |
QCAS / 58 / 1-2 / 91 |
| Optimal process adjustment by integrating production data
and design of experiments |
520:Y |
QCAS / 57 / 5-6 / 519 |
| A class of three-level designs for definitive screening in the presence of second-order effects |
520:Y |
QCAS / 57 / 4 / 365 |
| Designing simulation experiments with controllable and uncontrollable factors for applications in healthcare |
520:Y |
QCAS / 57 / 4 / 367 |
| Don’t use rank sum tests to analyze factorial designs |
520:Y |
QCAS / 57 / 4 / 369 |
| Screening for fuel economy: A case study of supersaturated designs in practice |
520:Y |
QCAS / 57 / 3 / 241 |
| A split-plot experiment with factor-dependent whole-plot sizes |
520:Y |
QCAS / 57 / 3 / 243 |
| A class of three level designs for definite screening in the presence of second-order effects |
520:Y |
QCAS / 57 / 3 / 247 |
| Exchange algorithms for constructing model robust experimental designs |
520:Y |
QCAS / 57 / 3 / 249 |
| Optimal and efficient cross-over designs for test control study when subject efforts are random |
520:Y |
QCAS / 57 / 3 / 251 |
| Why is not design of experiments widely used by engineers in Europe? |
520:A |
QCAS / 57 / 1-2 / 93 |
| A Bayesian approach for integration of physical and computer experiments for quality improvement in nano-composite manufacturing |
520:M |
QCAS / 57 / 1-2 / 95 |
| An estimated-score approach for dealing with missing covariate data in matched case-control studies |
520:Y |
QCAS / 57 / 1-2 / 97 |
| D-optimal and D-efficient equivalent-estimation second-order split-plot designs |
520:Y |
QCAS / 57 / 1-2 / 99 |
| Optimal row–column designs in high-throughput screening experiments |
520:Y |
QCAS / 57 / 1-2 / 101 |
| A covariate-adjusted adaptive design for two-stage clinical trials with survival data |
520:Y |
QCAS / 56 / 1-2 / 105 |
| Uncertainty in designed experiments |
520:Y |
QCAS / 56 / 1-2 / 107 |
| Optimum designs versus orthogonal arrays for main effects and two-factor interactions |
520:Y |
QCAS / 55 / 5-6 / 509 |
| Bayesian optimal design for change point problems |
520:Y |
QCAS / 55 / 5-6 / 511 |
| Sensitivity analysis of optimal designs for accelerated life testing |
520:Y |
QCAS / 55 / 5-6 / 513 |
| Using DEA’s multi-choice method to reach multi-response optimization in Taguchi’s Problem |
520:Y |
QCAS / 55 / 4 / 369 |
| Proposed tests for the non-decreasing alternative in a mixed design |
520:Y |
QCAS / 55 / 4 / 371 |
| Designed experiments with fixed and varying factors – A cautionary tale |
520:Y |
QCAS / 55 / 1-2 / 85 |
| Deciphering all those minimum aberration criteria for experimental designs |
520:Y |
QCAS / 55 / 1-2 / 87 |
| Formulating mixed models for experiments, including longitudinal experiments |
520:Y |
QCAS / 55 / 1-2 / 89 |
| Marginally restricted D-optimal designs for correlated observations |
520:Y |
QCAS / 55 / 1-2 / 93 |
| Analysis of data from non-orthogonal multistratum designs in industrial experiments |
520:Y |
QCAS / 55 / 1-2 / 95 |
| A designed screening study with prespecified combinations of factor settings |
520:Y |
QCAS / 55 / 1-2 / 97 |
| Modeling of Taguchi’s signal-to-noise ratios for healthcare |
520:B |
QCAS / 54 / 4 / 353 |
| Product and process optimization through design of experiments: A case study |
520:Y |
QCAS / 54 / 3 / 239 |
| Follow-up designs to resolve confounding in split-plot experiments |
520:Y |
QCAS / 54 / 3 / 241 |
| Making tradeoffs in designing scientific experiments: A case study with multi-level factors |
520:Y |
QCAS / 54 / 3 / 243 |
| A post-fractionated strip-strip-block design for multi-stage processes |
520:Y |
QCAS / 54 / 3 / 245 |
| Analysis of optimization experiments |
520:Y |
QCAS / 54 / 1-2 / 97 |
| Bayesian inference and life testing plan for the Weibull distribution in presence of progressive censoring |
520:Y |
QCAS / 54 / 1-2 / 99 |
| Optimal designs for conjoint experiments |
520:Y |
QCAS / 53 / 6 / 591 |
| A running example for use in a class on design of experiments |
520:Y |
QCAS / 53 / 4-5 / 457 |
| Must a process be in statistical control before conducting designed experiments |
520:Y |
QCAS / 53 / 4-5 / 459 |
| Randomization of neighbor balanced generalized Youden designs |
520:Y |
QCAS / 52 / 6 / 661 |
| An experiment to compare Taguchi’s product array and the combined array |
520:Y |
QCAS / 52 / 5 / 537 |
| The decomposition of effects in full factorial experimental design into individual treatment combinations |
520:Y |
QCAS / 52 / 5 / 539 |
| Bayes optimal sequential trial designs |
520:Y |
QCAS / 52 / 5 / 541 |
| Design of experiment algorithms for assembled products |
520:Y |
QCAS / 52 / 3 / 319 |
| Efficient 2k factorial designs for blocks of size 2 with microarray applications |
520:Y |
QCAS / 52 / 3 / 325 |
