Use of alternative designs and data sources for pediatric trials |
529:B |
QCAS / 67 / 3-4 / 267 |

Two-stage adaptive designs for three-treatment bioequivalence studies |
529:B |
QCAS / 66 / 5-6 / 419 |

Bayesian uncertainty directed trial designs |
529:Y |
QCAS / 66 / 5-6 / 423 |

Supersaturated multistratum designs |
529:Y |
QCAS / 66 / 5-6 / 425 |

An integer linear programing approach to find trend-robust run orders of experimental designs |
529:Y |
QCAS / 66 / 1-2 / 101 |

Trellis plots as visual aids for analyzing split plot experiments |
529:Y |
QCAS / 63 / 5-6 / 465 |

A comparison of two-level designs to estimate all main effects and two factor interactions |
529:Y |
QCAS / 63 / 3-4 / 249 |

The difference between “equivalent” and “not different” |
529:Y |
QCAS / 63 / 3-4 / 251 |

Using design of experiments methods for applied computational fluid dynamics: A case study |
529:Y |
QCAS / 63 / 3-4 / 253 |

A stratified two-stage unrelated randomized response model
for estimating a rare sensitive attribute based on the Poisson distribution |
529:Y |
QCAS / 63 / 3-4 / 255 |

Two-level screening designs derived from binary nonlinear codes |
529:Y |
QCAS / 63 / 3-4 / 257 |

Small mixed-level screening designs with orthogonal quadratic effects |
529:Y |
QCAS / 63 / 3-4 / 259 |

Comparing two binary diagnostic tests with repeated measurements |
529:Y |
QCAS / 63 / 1-2 / 105 |

A dose-schedule finding design for phase I-II clinical trials |
529:Y |
QCAS / 63 / 1-2 / 107 |

Optimizing two-level supersaturated designs using swarm intelligence techniques |
529:Y |
QCAS / 63 / 1-2 / 109 |

Generalizing quantile regression for counting process with
applications to recurrent events |
529:Y |
QCAS / 62 / 5-6 / 493 |

Statistical monitoring of safety in clinical trials |
529:B |
QCAS / 62 / 4 / 361 |

Optimal sliced Latin hypercube designs |
529:Y |
QCAS / 62 / 4 / 363 |

Analysis of an unreplicated 22
factorial experiment
performed in a continuous process |
529:Y |
QCAS / 62 / 3 / 237 |

Optimal designs for comparing curves |
529:Y |
QCAS / 62 / 3 / 239 |

A case study in mixture design:
Multi response optimization of glaze formulation |
529:M |
QCAS / 62 / 1-2 / 105 |

Some ideas on why factorial designs are seldom used for full-scale experiments in continuous production processes |
529:Y |
QCAS / 62 / 1-2 / 107 |

Biased sampling designs to improve research efficiency: Factors
influencing pulmonary function over time in children with asthma |
529:B |
QCAS / 61 / 5-6 / 495 |

A revisit to contingency table and test of independence:
Bootstrap is preferred to Chi-square approximations
as well as Fisher’s exact test |
529:Y |
QCAS / 61 / 5-6 / 499 |

I-optimal design of mixture experiments in the presence
of ingredient availability constraints |
529:Y |
QCAS / 61 / 5-6 / 501 |

A hybrid model for combining case–control
and cohort studies in systematic reviews of diagnostic tests |
529:Y |
QCAS / 61 / 4 / 377 |

Higher order response-adaptive urn designs for clinical trials with highly successful treatments |
529:B |
QCAS / 61 / 1-2 / 103 |

Extended mixed-level super
saturated designs |
529:Y |
QCAS / 61 / 1-2 / 107 |

Model selection for estimating treatment effects |
529:B |
QCAS / 60 / 5-6 / 537 |

Design-comparable effect sizes in multiple baseline designs:
A general modeling framework |
529:Y |
QCAS / 60 / 4 / 367 |

The best location for speed bump installation using Taguchi
and classical design of experiments |
529:Y |
QCAS / 60 / 4 / 371 |

Variable importance in matched case–control studies in settings of high dimensional data |
529:B |
QCAS / 60 / 3 / 251 |

Proposed nonparametric test for the mixed two-sample design |
529:Y |
QCAS / 60 / 3 / 255 |

Selecting a D-optimal follow-up experiment among candidate choices |
529:Y |
QCAS / 60 / 1-2 / 103 |

Optimal designs for dose finding studies with an active control |
529:Y |
QCAS / 60 / 1-2 / 105 |

A retrospective view of mixture experiments |
529:Y |
QCAS / 58 / 3 / 241 |

Optimal semifoldover plans for two-level orthogonal designs |
529:Y |
QCAS / 58 / 1-2 / 97 |

A case study involving mixture-process variable experiments
within a split-plot structure |
529:Y |
QCAS / 58 / 1-2 / 101 |

Design of experiments for categorical repeated measurements
in packet communication networks |
529:Z |
QCAS / 58 / 1-2 / 103 |

A Bayesian optimal design for accelerated degradation tests |
529:Y |
QCAS / 57 / 4 / 371 |

Structural testing of 2×2 factorial effects: An analytic plan requiring fewer observations |
529:Y |
QCAS / 57 / 3 / 253 |

Three-level and mixed-level orthogonal arrays for lean designs |
529:Y |
QCAS / 56 / 5-6 / 509 |

Estimation and adjustment of bias in randomized evidence by using mixed treatment comparison meta-analysis |
529:Y |
QCAS / 56 / 1-2 / 111 |

Analyzing designed experiments in distance sampling |
529:Y |
QCAS / 55 / 5-6 / 521 |

A cluster analysis selection strategy for supersaturated designs |
529:Y |
QCAS / 55 / 4 / 373 |

D-optimal designs with interaction coverage |
529:Y |
QCAS / 55 / 3 / 253 |

Order statistics for a two-level, eight-run saturated- unreplicated fractional-factorial screening |
529:Y |
QCAS / 55 / 1-2 / 101 |

Covariate balance in simple stratified and clustered comparative studies |
529:Y |
QCAS / 54 / 1-2 / 101 |

The use of a supersaturated experiments in turbine engine development |
529:Y |
QCAS / 52 / 5 / 557 |

Imputation of censored response data in a bivariate designed experiment |
529:Y |
QCAS / 52 / 5 / 559 |

Further exploratory analysis of split-plot experiments to study certain stratified effects |
529:Y |
QCAS / 52 / 5 / 561 |

Noise strategy in robust design: What aspects of noise factors are important in quality engineering? |
529:Y |
QCAS / 52 / 4 / 439 |

Robust parameter design with feedback control |
529:Y |
QCAS / 52 / 4 / 441 |

A nonparametric procedure for the analysis of balanced crossover designs |
529:Y |
QCAS / 51 / 6 / 665 |

Construction of a 21-component layered mixture experiment design using a new mixture coordinate-exchange algorithm |
529:Y |
QCAS / 51 / 4 / 425 |

A discussion of alternative ways of modeling and interpreting mixture data |
529:Y |
QCAS / 51 / 3 / 319 |

Using genetic algorithms to generate mixture-process experimental designs involving control and noise variables |
529:Y |
QCAS / 50 / 4 / 441 |

Multiresponse robust design: A general framework based on combined array |
529:Y |
QCAS / 49 / 5 / 563 |

Retrospective factorial fitting and reverse design of experiments |
529:Y |
QCAS / 48 / 6 / 675 |

Experimental designs for constrained regions |
529:Y |
QCAS / 48 / 5 / 555 |

Optimal few-stage designs |
529:Y |
QCAS / 48 / 3 / 323 |

Methods for selecting crossover designs with applications to an experiment with two factors in a split plot |
529:Y |
QCAS / 48 / 3 / 325 |

Robust design: A simple alternative to Taguchi’s parameter design approach |
529:Y |
QCAS / 48 / 2 / 203 |

Construction of orthogonal two-level designs of user-specified resolution where N ≠ 2k |
529:Y |
QCAS / 47 / 1 / 85 |

Correlation in a Bayesian framework |
529:Y |
QCAS / 47 / 1 / 87 |

On optimal third order rotatable designs |
529:Y |
QCAS / 47 / 1 / 91 |

Phase I analysis for autocorrelated processes |
529:Y |
QCAS / 46 / 5 / 569 |