| Patient recruitment using electronic health records under selection bias: A two-phase sampling framework |
220:B |
QCAS / 70 / 3-4 / 187 |
| Information-incorporated clustering analysis of disease prevalence trends |
539:B |
QCAS / 70 / 3-4 / 255 |
| Searching for the best yardstick: Cost of quality improvements in the US hospital industry |
690:B |
QCAS / 70 / 3-4 / 273 |
| Cluster extent inference revisited: Quantification and localization of brain activity |
512:B |
QCAS / 70 / 1-2 / 81 |
| Developing quality measures for non-pharmacological prevention and rehabilitation in primary health care for chronic conditions: A consensus study |
690:B |
QCAS / 70 / 1-2 / 101 |
| Dynamic monitoring of ongoing clinical trials |
530:B |
QCAS / 69 / 5-6 / 397 |
| Assessing patient satisfaction with emergency department
care delivery using a patient experience framework |
690:B |
QCAS / 69 / 5-6 / 425 |
| Understanding quality factors of electronic health service in an emerging economy |
690:B |
QCAS / 69 / 5-6 / 429 |
| Statistical challenges in tracking the evolution of SARS-CoV-2 |
690:B |
QCAS / 69 / 5-6 / 433 |
| Using statistical engineering in pharmaceutical and biotech problem solving a case study |
790:B |
QCAS / 69 / 5-6 / 447 |
| Adaptive preferential sampling in phylodynamics with an application to SARS-CoV-2 |
210:B |
QCAS / 69 / 3-4 / 187 |
| A sequential predictive power design for a COVID vaccine trial |
529:B |
QCAS / 69 / 3-4 / 249 |
| A phase 3 trial analysis proposal for mitigating the impact of the COVID-19 pandemic |
520:B |
QCAS / 69 / 1-2 / 95 |
| Quantifying efficiency gains of innovative designs of two-arm vaccine trials for COVID-19 using an epidemic simulation model |
529:B |
QCAS / 69 / 1-2 / 97 |
| International survey of COVID-19 management strategies |
690:B |
QCAS / 68 / 5-6 / 429 |
| COVID-19 is having a destructive impact on healthcare workers’ mental well-being |
690:B |
QCAS / 68 / 5-6 / 431 |
| Functional ensemble survival tree: Dynamic prediction of Alzheimer’s disease progression accommodating multiple time-varying covariates |
519:B |
QCAS / 68 / 3-4 / 227 |
| Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters |
630:B |
QCAS / 68 / 3-4 / 233 |
| COVID-19: Patient safety and quality improvement skills to deploy during the surge |
690:B |
QCAS / 68 / 3-4 / 251 |
| Comparing length of hospital stay during COVID-19 pandemic in the USA, Italy and Germany |
690:B |
QCAS / 68 / 3-4 / 255 |
| The evolution of the Italian framework to measure well-being |
790:B |
QCAS / 68 / 3-4 / 269 |
| Incorporating animal movement into distance sampling |
290:B |
QCAS / 67 / 5-6 / 359 |
| An effective method for online disease risk monitoring |
790:B |
QCAS / 67 / 5-6 / 433 |
| Sampling strategies to estimate deer density by drive counts |
220:B |
QCAS / 67 / 3-4 / 187 |
| Outcome-dependent sampling in cluster-correlated data settings with application to hospital profiling |
220:B |
QCAS / 67 / 3-4 / 191 |
| A novel approach to latent class modelling: Identifying the various types of body mass index individuals |
519:B |
QCAS / 67 / 3-4 / 235 |
| Statistical issues and recommendations for clinical trials
conducted during the COVID-19 pandemic |
519:B |
QCAS / 67 / 3-4 / 237 |
| Challenges in assessing the impact of the COVID-19 pandemic
on the integrity and interpretability of clinical trials |
519:B |
QCAS / 67 / 3-4 / 241 |
| Assessing the impact of COVID-19 on the clinical trial objective and analysis of oncology clinical trials – application of the estimand framework |
519:B |
QCAS / 67 / 3-4 / 245 |
| Clinical trials impacted by the COVID-19 pandemic: Adaptive designs to the rescue? |
519:B |
QCAS / 67 / 3-4 / 249 |
| Efficient adaptive designs for clinical trials of interventions for COVID-19 |
519:B |
QCAS / 67 / 3-4 / 253 |
| Clinical trial drug safety assessment for studies and submissions impacted by COVID-19 |
519:B |
QCAS / 67 / 3-4 / 257 |
| Machine learning for clinical trials in the era of COVID-19 |
519:B |
QCAS / 67 / 3-4 / 261 |
| Use of alternative designs and data sources for pediatric trials |
529:B |
QCAS / 67 / 3-4 / 267 |
| Considering over-dispersion in the sample size calculation for clinical trials with repeated count measurements |
220:B |
QCAS / 66 / 5-6 / 355 |
| Limits to human life span through extreme value theory |
519:B |
QCAS / 66 / 5-6 / 411 |
| Two-stage adaptive designs for three-treatment bioequivalence studies |
529:B |
QCAS / 66 / 5-6 / 419 |
| Validating the balanced scorecard framework for nonprofit organizations: An empirical study involving Australasian healthcare |
670:B |
QCAS / 66 / 5-6 / 433 |
| Implementing error rate checks to improve the data quality in the Victorian Audit of Surgical Mortality |
670:B |
QCAS / 66 / 3-4 / 233 |
| Do electronic health records affect quality of care? Evidence from the HITECH Act |
670:B |
QCAS / 66 / 3-4 / 235 |
| The impact of internal service quality on preventable adverse events in hospitals |
670:B |
QCAS / 66 / 3-4 / 239 |
| Understanding the relationship between effectiveness and outcome indicators to improve quality in healthcare |
670:B |
QCAS / 66 / 3-4 / 243 |
| Benefit-risk assessment for binary diagnostic tests |
690:B |
QCAS / 66 / 3-4 / 267 |
| Approximate confidence intervals for the likelihood ratios of a binary diagnostic test in the presence of partial disease verification |
511:B |
QCAS / 66 / 1-2 / 61 |
| A new test for functional one-way ANOVA with applications to ischemic heart screening |
515:B |
QCAS / 66 / 1-2 / 81 |
| Projecting UK mortality by using Bayesian generalized additive models |
590:B |
QCAS / 65 / 5-6 / 427 |
| Does meaningful use of electronic health records improve patient outcomes? |
670:B |
QCAS / 65 / 3-4 / 279 |
| An empirical study of US hospital quality: Readmission rates, organizational culture, patient satisfaction and Facebook ratings |
670:B |
QCAS / 65 / 3-4 / 283 |
| Managing quality crossroads in healthcare: An integrative supply chain perspective |
690:B |
QCAS / 64 / 5-6 / 483 |
| The effect of waiting time on patient perceptions of care quality |
690:B |
QCAS / 64 / 5-6 / 487 |
| Modelling illegal drug participation |
230:B |
QCAS / 64 / 3-4 / 193 |
| Estimating population size with link-tracing sampling |
290:B |
QCAS / 64 / 3-4 / 197 |
| A new Bayesian dose-finding design for drug combination trials |
517:B |
QCAS / 64 / 3-4 / 259 |
| Comparison and assessment of epidemic models |
519:B |
QCAS / 64 / 3-4 / 261 |
| Bayesian nonparametrics for stochastic epidemic models |
551:B |
QCAS / 64 / 3-4 / 267 |
| Managing service-specific and open-posting block sizes when allocating operating room time |
690:B |
QCAS / 64 / 3-4 / 283 |
| Towards a triadic quality measurement framework for US healthcare |
690:B |
QCAS / 64 / 3-4 / 285 |
| Sequential rank CUSUM charts for angular data |
119:B |
QCAS / 64 / 1-2 / 27 |
| The moderating effect of gender in urgent care service satisfaction |
690:B |
QCAS / 64 / 1-2 / 119 |
| Patient satisfaction with healthcare services: A critical review |
350:B |
QCAS / 63 / 5-6 / 425 |
| Development and validation of a measurement instrument
for assessing quality management practices in hospitals: An exploratory study |
490:B |
QCAS / 63 / 1-2 / 85 |
| Operational process improvement in medical TQM:
A case study of human error in using devices |
690:B |
QCAS / 63 / 1-2 / 137 |
| Factors affecting patient satisfaction: An exploratory study for quality management in health-care sector |
690:B |
QCAS / 63 / 1-2 / 141 |
| Improved acceptance limits for ASTM standard E2810 |
290:B |
QCAS / 62 / 4 / 315 |
| A comparison of inferential methods for highly nonlinear
state space models in ecology and epidemiology |
512:B |
QCAS / 62 / 4 / 351 |
| Statistical monitoring of safety in clinical trials |
529:B |
QCAS / 62 / 4 / 361 |
| Hospital service quality measurement models:
Patients from Asia, Europe, Australia and America |
670:B |
QCAS / 62 / 4 / 373 |
| Medical tourism service quality: Finally some empirical findings |
690:B |
QCAS / 62 / 4 / 381 |
| Did Massachusetts health care reform lower mortality?
No according to randomization inference |
512:B |
QCAS / 62 / 3 / 229 |
| The monitoring and improvement of surgical-outcome quality |
670:B |
QCAS / 62 / 3 / 247 |
| Sample size considerations in clinical trials
when comparing two interventions using
multiple co-primary binary relative risk contrasts |
240:B |
QCAS / 62 / 1-2 / 27 |
| Cost-quality tradeoff in healthcare:
Does it affect patient experience? |
319:B |
QCAS / 62 / 1-2 / 53 |
| Healthcare performance excellence:
A comparison of Baldrige Award recipients and competitors |
343:B |
QCAS / 62 / 1-2 / 65 |
| Statistical and computational challenges in whole genome
prediction and genome-wide association analyses
for plant and animal breeding |
510:B |
QCAS / 62 / 1-2 / 77 |
| A comparison of two-sample tests of significance
when used with variable treatment effects |
511:B |
QCAS / 62 / 1-2 / 81 |
| Fighting healthcare fraud with statistics |
630:B |
QCAS / 62 / 1-2 / 119 |
| Effects of clinical pathway implementation
on medical quality and patient satisfaction |
690:B |
QCAS / 62 / 1-2 / 129 |
| Biased sampling designs to improve research efficiency: Factors
influencing pulmonary function over time in children with asthma |
529:B |
QCAS / 61 / 5-6 / 495 |
| Toyota production system for healthcare organizations:
Prospects and implementation challenges |
690:B |
QCAS / 61 / 5-6 / 533 |
| Does the healthcare industry report quality costs?
Comparative investigations of public and private hospitals |
690:B |
QCAS / 61 / 5-6 / 535 |
