| scholarly article | Q13442814 |
| P50 | author | Daniel Goldenholz | Q42725126 |
| Jonathan Scott | Q60668523 | ||
| P2093 | author name string | Sungyoung Auh | |
| Robert Moss | |||
| William H Theodore | |||
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| P433 | issue | 3 | |
| P921 | main subject | big data | Q858810 |
| placebo effect | Q16303139 | ||
| placebo | Q269829 | ||
| P304 | page(s) | 329-336 | |
| P577 | publication date | 2015-07-07 | |
| P1433 | published in | Annals of Neurology | Q564414 |
| P1476 | title | Confusing placebo effect with natural history in epilepsy: A big data approach | |
| P478 | volume | 78 |
| Q36332317 | A big data approach to the development of mixed-effects models for seizure count data. |
| Q64969184 | A double-blinded randomised dietary supplement crossover trial design to investigate the short-term influence of medium chain fatty acid (MCT) supplement on canine idiopathic epilepsy: study protocol. |
| Q47658584 | A multi-dataset time-reversal approach to clinical trial placebo response and the relationship to natural variability in epilepsy |
| Q38600989 | Can Matching-Adjusted Indirect Comparison Methods Mitigate Placebo Response Differences Among Patient Populations in Adjunctive Trials of Brivaracetam and Levetiracetam? |
| Q91308517 | Characteristics of large patient-reported outcomes: Where can one million seizures get us? |
| Q60623555 | Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study |
| Q47642628 | Clinical Research Informatics: Supporting the Research Study Lifecycle. |
| Q52617159 | Common data elements for epilepsy mobile health systems. |
| Q47847824 | Comparison of brand versus generic antiepileptic drug adverse event reporting rates in the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS). |
| Q64974261 | Composition and Use of Cannabis Extracts for Childhood Epilepsy in the Australian Community. |
| Q88438789 | Different as night and day: Patterns of isolated seizures, clusters, and status epilepticus |
| Q50509778 | Does accounting for seizure frequency variability increase clinical trial power? |
| Q28069705 | Incorporating Natural Products, Pharmaceutical Drugs, Self-Care and Digital/Mobile Health Technologies into Molecular-Behavioral Combination Therapies for Chronic Diseases |
| Q50104990 | Is seizure frequency variance a predictable quantity? |
| Q38656392 | Methodological issues associated with clinical trials in epilepsy |
| Q41357908 | Monte Carlo simulations of randomized clinical trials in epilepsy. |
| Q90329530 | Natural variability in seizure frequency: Implications for trials and placebo |
| Q33730499 | Open-label versus double-blind placebo treatment in irritable bowel syndrome: study protocol for a randomized controlled trial |
| Q36164038 | Patient-centered design criteria for wearable seizure detection devices |
| Q90686935 | Predicting seizure freedom with AED treatment in newly diagnosed patients with MRI-negative epilepsy: A large cohort and multicenter study |
| Q35938221 | Response to placebo in clinical epilepsy trials--Old ideas and new insights |
| Q54936045 | Simulating Clinical Trials With and Without Intracranial EEG Data. |
| Q36185702 | Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size |
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