cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3793737
title: An Efficient Multiple Imputation Algorithm for Control-Based and Delta-Adjusted Pattern Mixture Models using SAS

description: In clinical trials, mixed effect models for repeated measures (MMRM) and pattern mixture models (PMM) are often used to analyze longitudinal continuous outcomes. We describe a simple missing data imputation algorithm for the MMRM that can be easily implemented in standard statistical software packages such as SAS PROC MI. We explore the relationship of the missing data distribution in the control-based and delta-adjusted PMMs with that in the MMRM, and suggest an efficient imputation algorithm for these PMMs. The unobserved values in PMMs can be imputed by subtracting the mean difference in the posterior predictive distributions of missing data from the imputed values in MMRM. We also suggest a modification of the copy reference imputation procedure to avoid the possibility that after dropout, subjects from the active treatment arm will have better mean response trajectory than subjects who stay on the active treatment. The proposed methods are illustrated by the analysis of an antidepressant trial. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.3793737.v2
title: An Efficient Multiple Imputation Algorithm for Control-Based and Delta-Adjusted Pattern Mixture Models using SAS

description: In clinical trials, mixed effect models for repeated measures (MMRM) and pattern mixture models (PMM) are often used to analyze longitudinal continuous outcomes. We describe a simple missing data imputation algorithm for the MMRM that can be easily implemented in standard statistical software packages such as SAS PROC MI. We explore the relationship of the missing data distribution in the control-based and delta-adjusted PMMs with that in the MMRM, and suggest an efficient imputation algorithm for these PMMs. The unobserved values in PMMs can be imputed by subtracting the mean difference in the posterior predictive distributions of missing data from the imputed values in MMRM. We also suggest a modification of the copy reference imputation procedure to avoid the possibility that after dropout, subjects from the active treatment arm will have better mean response trajectory than subjects who stay on the active treatment. The proposed methods are illustrated by the analysis of an antidepressant trial. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.3793737.v1
title: An efficient multiple imputation algorithm for control-based and delta-adjusted pattern mixture models

description: In clinical trials, mixed effects models for repeated measures (MMRM) and pattern mixture models (PMM) are often used to analyze longitudinal continuous outcomes. We describe a simple missing data imputation algorithm for the MMRM that can be easily implemented in standard statistical software packages such as SAS PROC MI. We explore the relationship of the missing data distribution in the control-based and delta-adjusted PMMs with that in the MMRM, and suggest an efficient imputation algorithm for these PMMs. The unobserved values in PMMs can be imputed by subtracting the mean difference in the posterior predictive distributions of missing data from the imputed values in MMRM. We also suggest a modification of the copy reference imputation procedure to avoid the possibility that after dropout, subjects from the active treatment arm will have better mean response trajectory than subjects who stay on the active treatment. The proposed methods are illustrated by the analysis of an antidepressant trial.
DOI: 10.6084/m9.figshare.3793719
title: Quantifying the uncertainty of contour maps

description: Contour maps are widely used to display estimates of spatial fields. Instead of showing the estimated field, a contour map only shows a fixed number of contour lines for different levels. However, despite the ubiquitous use of these maps, the uncertainty associated with them has been given a surprisingly small amount of attention. We derive measures of the statistical uncertainty, or quality, of contour maps, and use these to decide an appropriate number of contour lines, that relates to the uncertainty in the estimated spatial field. For practical use in geostatistics and medical imaging, computational methods are constructed, that can be applied to Gaussian Markov random fields, and in particular be used in combination with integrated nested Laplace approximations for latent Gaussian models. The methods are demonstrated on simulated data and an application to temperature estimation is presented.
DOI: 10.6084/m9.figshare.3793719.v1
title: Quantifying the uncertainty of contour maps

description: Contour maps are widely used to display estimates of spatial fields. Instead of showing the estimated field, a contour map only shows a fixed number of contour lines for different levels. However, despite the ubiquitous use of these maps, the uncertainty associated with them has been given a surprisingly small amount of attention. We derive measures of the statistical uncertainty, or quality, of contour maps, and use these to decide an appropriate number of contour lines, that relates to the uncertainty in the estimated spatial field. For practical use in geostatistics and medical imaging, computational methods are constructed, that can be applied to Gaussian Markov random fields, and in particular be used in combination with integrated nested Laplace approximations for latent Gaussian models. The methods are demonstrated on simulated data and an application to temperature estimation is presented.
DOI: 10.6084/m9.figshare.3793596
title: Efficient and Robust Automated Machine Learning - Section 6

description: Raw data for the experiments in Section 6 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning
DOI: 10.6084/m9.figshare.3793596.v1
title: Efficient and Robust Automated Machine Learning - Section 6

description: Raw data for the experiments in Section 6 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning
DOI: 10.6084/m9.figshare.3793566
title: GLAMVRtalks

description: Presentations from Friday 26 August 2016, the HIVE, Curtin University<br>
DOI: 10.6084/m9.figshare.3793566.v1
title: GLAMVRtalks

description: Presentations from Friday 26 August 2016, the HIVE, Curtin University<br>
DOI: 10.6084/m9.figshare.3793458
title: Data from our prospective observational clinical study using mini volume loading test (mVLT) using 2.5 ml kg-1 boluses of crystalloid for indication of perioperative changes in patient's hydration level

description: We prospectively collected data in 48 adult ASA II physical state patients who had elective primary total knee arthroplasty (TKA). As part of a larger RCT, with an aim to evaluate peri-operative changes in patients' hydration level, the mini volume loading test (mVLT) was applied before induction of spinal anaesthesia (pre-operative) and also 24-h later (post-operative). The mVLT protocol implied mini fluid challenges consisting of Ringer’s acetate boluses followed by 5 min periods without fluid loading. Six 2.5 ml kg<sup>-1</sup> boluses were infused. Haemoglobins - invasive (aHb, arterial) and non-invasive (SpHb or cHb, capillary), cardiac stroke volume (SV) deviation (%), perfusion index (PI) and its deviation from baseline (PID) were measured before and after each mini fluid challenge and also 20 min after the last bolus. We present our data. Several variables were obtained by mathematically processing haemoglobin values: plasma dilution (PD), plasma dilution efficacy (PDE), arterio-capillary plasma dilution efficacy difference (acPED) as well as relative difference between the paired invasive and non-invasive haemoglobin measurements (RD) and absolute RD (ARD). We post the related math, too.
DOI: 10.6084/m9.figshare.3793458.v1
title: Data from prospective observational clinical study using mini volume loading test (mVLT) using 2.5 ml kg-1 boluses of crystalloid for indication of perioperative changes in patient's hydration level

description: We prospectively collected data in 48 adult ASA II physical state patients who had elective primary total knee arthroplasty (TKA). As part of a larger RCT, with an aim to evaluate peri-operative changes in patients' hydration level, the mini volume loading test (mVLT) was applied before induction of spinal anaesthesia (pre-operative) and also 24-h later (post-operative). The mVLT protocol implied mini fluid challenges consisting of Ringer’s acetate boluses followed by 5 min periods without fluid loading. Six 2.5 ml kg<sup>-1</sup> boluses were infused. Haemoglobins - invasive (aHb, arterial) and non-invasive (SpHb or cHb, capillary), cardiac stroke volume (SV) deviation (%), perfusion index (PI) and its deviation from baseline (PID) were measured before and after each mini fluid challenge and also 20 min after the last bolus. We present our data. Several variables were obtained by mathematically processing haemoglobin values: plasma dilution (PD), plasma dilution efficacy (PDE), arterio-capillary plasma dilution efficacy difference (acPED) as well as relative difference between the paired invasive and non-invasive haemoglobin measurements (RD) and absolute RD (ARD). We post the related math, too.
DOI: 10.6084/m9.figshare.3793458.v2
title: Data from our prospective observational clinical study using mini volume loading test (mVLT) using 2.5 ml kg-1 boluses of crystalloid for indication of perioperative changes in patient's hydration level

description: We prospectively collected data in 48 adult ASA II physical state patients who had elective primary total knee arthroplasty (TKA). As part of a larger RCT, with an aim to evaluate peri-operative changes in patients' hydration level, the mini volume loading test (mVLT) was applied before induction of spinal anaesthesia (pre-operative) and also 24-h later (post-operative). The mVLT protocol implied mini fluid challenges consisting of Ringer’s acetate boluses followed by 5 min periods without fluid loading. Six 2.5 ml kg<sup>-1</sup> boluses were infused. Haemoglobins - invasive (aHb, arterial) and non-invasive (SpHb or cHb, capillary), cardiac stroke volume (SV) deviation (%), perfusion index (PI) and its deviation from baseline (PID) were measured before and after each mini fluid challenge and also 20 min after the last bolus. We present our data. Several variables were obtained by mathematically processing haemoglobin values: plasma dilution (PD), plasma dilution efficacy (PDE), arterio-capillary plasma dilution efficacy difference (acPED) as well as relative difference between the paired invasive and non-invasive haemoglobin measurements (RD) and absolute RD (ARD). We post the related math, too.
DOI: 10.6084/m9.figshare.3793410
title: Reaction Time data matrix for 124 healthy human participants

description: Reaction time (RT) data for 124 healthy human volunteers reported in Marshall et al.<br>Drug Group 1 = PlaceboDrug Group 2 = DA- (Haloperidol)Drug Group 3 = ACh- (Biperiden)Drug Group 4 = NA- (Prazosin)<br>Each data structure in data.druggroup.AllRTs contains data for 1200 trials (rows) for an individual participant, where:Column 1 = RT (ms); NaN = missed responseColumn 2 = Correct (1) or Incorrect (0) responseColumn 3 = Trial-wise stimulus typeColumn 4 = Transition Matrix typeColumn 5 = Trial count (within context)Column 6 = Total trial countColumn 7 = Post-error trial (1), Non-post-error trial (0)Column 8 = Post-infrequent trial (1), Non-post-infrequent trial (0)<br>The data contained in data.druggroup.CorrectRTs.matrix is as above, but RTs for incorrect responses have been replaced with NaN.<br>
DOI: 10.6084/m9.figshare.3793410.v2
title: RT data matrix (n=124)

description: Reaction time (RT) data for 124 healthy human volunteers reported in Marshall et al.<br>Drug Group 1 = PlaceboDrug Group 2 = DA- (Haloperidol)Drug Group 3 = ACh- (Biperiden)Drug Group 4 = NA- (Prazosin)<br>Each data structure in data.druggroup.AllRTs contains data for 1200 trials (rows) for an individual participant, where:Column 1 = RT (ms); NaN = missed responseColumn 2 = Correct (1) or Incorrect (0) responseColumn 3 = Trial-wise stimulus typeColumn 4 = Transition Matrix typeColumn 5 = Trial count (within context)Column 6 = Total trial countColumn 7 = Post-error trial (1), Non-post-error trial (0)Column 8 = Post-infrequent trial (1), Non-post-infrequent trial (0)<br>The data contained in data.druggroup.CorrectRTs.matrix is as above, but RTs for incorrect responses have been replaced with NaN.<br>
DOI: 10.6084/m9.figshare.3793395
title: Update of distribution, habitats, population size, and threat factors for the West African crocodile in Mauritania

description: The West African crocodile (<i>Crocodylus suchus</i>) is an emblematic species from the Sahara-Sahel with scarce knowledge on distribution and conservation status. This study updated the knowledge on distribution, occupied habitats, population size, and factors that threaten <i>C. suchus </i>and its habitats in Mauritania. Five field expeditions to Mauritania (2011-2016), allowed the detection of 26 new localities, increasing by 27% the current number of all known locations (adding up to <i>N </i>= 96). In most localities less than five individuals were observed, and in all visiting sites the number of observed individuals ranged from one to 23. Eleven threat factors were identified, being droughts and temperature extremes (100% localities affected) and water abstraction for domestic use and nomadic grazing (94%) the most frequent. These findings suggest that crocodiles are apparently vulnerable in Mauritania and that future local conservation strategies are needed to assure the continuity of its fragile populations and preserve their habitats.
DOI: 10.6084/m9.figshare.3793212
title: PBLH Heights Dataset

description: Boundary Layer Height data from 06/02/2015 until 06/15/2015.<br>Simulated data from WRF plus three estimations from a ceilometer in (38.6 N, -7.9 W)<br>
DOI: 10.6084/m9.figshare.3793212.v1
title: PBLH Heights Dataset

description: Boundary Layer Height data from 06/02/2015 until 06/15/2015.<br>Simulated data from WRF plus three estimations from a ceilometer in (38.6 N, -7.9 W)<br>
DOI: 10.6084/m9.figshare.3793191
title: Flavor characteristics of the juices from fresh market tomatoes differentiated from those from processing tomatoes by combined analysis of volatile profiles with sensory evaluation

description: Various commercial tomato juices with different flavors are available at markets worldwide. To clarify the marker compounds related to the flavor characteristics of tomato juice, we analyzed 15 pure commercial tomato juices by a combination of volatile profiling and sensory evaluation. The correlations among volatiles and the relationship between volatiles and sensory descriptors were elucidated by multivariate analyses. Consequently, the tomato juices made from fresh market tomatoes (including the popular Japanese tomato variety “Momotaro”) were clearly separated from other juices made from processing tomatoes, by both the volatile composition and sensory profiles. <i>cis</i>-3-Hexenol, hexanal, and apocarotenoids negatively contributed to the juices from fresh market tomatoes, whereas Strecker aldehydes and furfural showed positive contributions to the juices. Accordingly, the sensory characteristics of juices from fresh market tomatoes were related to cooked and fruity flavors but not to green or fresh notes. Combined analysis by instrumental and sensory evaluation of various commercial pure tomato juices elucidated the difference of their flavor characteristics.
DOI: 10.6084/m9.figshare.3793188
title: French and English Version of the Reality-Known Nonverbal False Belief Task

description: The material provided here consists of ONE of TWO tasks that need to be jointly administrated (see Figshare collection to download the other complementing task). <br>Please note that the “reality-unknown” task has to be presented BEFORE the “reality-known” task in order to provide reliable diagnostic information. The task is presented in the following article:<br>Biervoye, A., Meert, G., Apperly, I.A., & Samson, D. (under review). Assessing the integrity of the cognitive processes involved in belief reasoning by means of two nonverbal tasks: rationale, normalization and illustration with brain-damaged patients.<br>The video files are the same for the French and English versions of the task only the scoring sheet and powerpoint files differ across the French and English version.<br>Please read carefully the README file.
DOI: 10.6084/m9.figshare.3793185
title: Population differences and the effect of vaginal progesterone on preterm birth in women with threatened preterm labor<sup>*</sup>

description: <i>Objective</i>: Threatened preterm labor (tPTL) is a complication of pregnancy. Identification of women and clinical definition differs between countries. This study investigated differences in tPTL and effectiveness of vaginal progesterone to prevent preterm birth (PTB) between two countries. <i>Methods</i>: Secondary analysis of a randomized controlled trial (RCT) from Argentina and Switzerland comparing vaginal progesterone to placebo in women with tPTL (<i>n</i> = 379). Cox proportional hazards analysis was performed to compare placebo groups of both countries and to compare progesterone to placebo within each country. We adjusted for baseline differences. Iatrogenic onset of labor or pregnancy beyond gestational age of interest was censored. <i>Results</i>: Swiss and Argentinian women were different on baseline. Risks for delivery &lt;14 days and PTB <i>Conclusion</i>: In women with tPTL, the effect of progesterone may vary due to population differences. Differences in populations should be considered in multicenter RCTs.
DOI: 10.6084/m9.figshare.3793185.v1
title: Population differences and the effect of vaginal progesterone on preterm birth in women with threatened preterm labor<sup>*</sup>

description: <i>Objective</i>: Threatened preterm labor (tPTL) is a complication of pregnancy. Identification of women and clinical definition differs between countries. This study investigated differences in tPTL and effectiveness of vaginal progesterone to prevent preterm birth (PTB) between two countries. <i>Methods</i>: Secondary analysis of a randomized controlled trial (RCT) from Argentina and Switzerland comparing vaginal progesterone to placebo in women with tPTL (<i>n</i> = 379). Cox proportional hazards analysis was performed to compare placebo groups of both countries and to compare progesterone to placebo within each country. We adjusted for baseline differences. Iatrogenic onset of labor or pregnancy beyond gestational age of interest was censored. <i>Results</i>: Swiss and Argentinian women were different on baseline. Risks for delivery &lt;14 days and PTB <i>Conclusion</i>: In women with tPTL, the effect of progesterone may vary due to population differences. Differences in populations should be considered in multicenter RCTs.
DOI: 10.6084/m9.figshare.3793140
title: Immigration JR data.xlsx

description: Data concerning immigration judicial reviews lodged with the Upper Tribunal (Immigration and Asylum Chamber), 2013-2016
DOI: 10.6084/m9.figshare.3793140.v1
title: Immigration JR data.xlsx

description: Data concerning immigration judicial reviews lodged with the Upper Tribunal (Immigration and Asylum Chamber), 2013-2016
DOI: 10.6084/m9.figshare.3793131
title: Efficient and Robust Automated Machine Learning - Section 5

description: Raw data for the experiments in Section 5 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning<br>
DOI: 10.6084/m9.figshare.3793131.v2
title: Efficient and Robust Automated Machine Learning - Section 5

description: Raw data for the experiments in Section 5 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning<br>
DOI: 10.6084/m9.figshare.3793131.v1
title: section5.zip

description: Raw data for the experiments in Section 5 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning<br>
DOI: 10.6084/m9.figshare.3793125
title: PowerPoint Slides for: A Systematic Review and Meta-Analysis of Kidney and Pregnancy Outcomes in IgA Nephropathy

description: <i>Background:</i> The outcomes of pregnancy in immunoglobulin A nephropathy (IgAN) remain controversial. We sought to evaluate the effect of pregnancy on the progression of IgAN as well as the impact of IgAN on pregnancy outcomes. <i>Methods:</i>We systematically searched MEDLINE, Embase for cohort or case-control studies. OR reductions were calculated with a random-effects model, and kidney outcomes and adverse pregnancy events were analyzed. <i>Results:</i> Our literature search returned 652 relevant articles; 4 studies were included, providing data of 376 pregnancies in 273 patients with IgAN and that of 241 IgAN who did not become pregnant. Four hundred sixty seven patients with chronic kidney disease stages 1-2 were included. Pregnancy in patients with IgAN did not increase the risk of adverse renal events including doubling of serum creatinine, 50% decline in glomerular filtration rate (GFR) and end-stage kidney disease (OR 0.97, 95% CI 0.55-1.70; p = 0.90; I2 = 0.0%, p = 0.79). There was no significant difference in the change in estimated GFR at the end of follow-up in the pregnant and non-pregnant groups (weighted mean difference 0.1 ml/min/1.73 m2 (95% CI -4.85 to 5.04 ml/min/1.73 m2), p = 0.97; I2 = 0%, p = 0.95). Women with IgAN had high rates of infant loss (12.2, 7.4-19.4%), preterm delivery (8.5, 5.9-12.1%), low birth weight (9.5, 6.7-13.3%), and preeclampsia/severe preeclampsia (7.3, 4.9-10.6%). <i>Conclusions:</i> Pregnancy in IgAN patients with preserved kidney function did not accelerate deterioration of renal function. But pregnant women with IgAN are at higher risk of pregnancy complications.
DOI: 10.6084/m9.figshare.3793125.v1
title: PowerPoint Slides for: A Systematic Review and Meta-Analysis of Kidney and Pregnancy Outcomes in IgA Nephropathy

description: <i>Background:</i> The outcomes of pregnancy in immunoglobulin A nephropathy (IgAN) remain controversial. We sought to evaluate the effect of pregnancy on the progression of IgAN as well as the impact of IgAN on pregnancy outcomes. <i>Methods:</i>We systematically searched MEDLINE, Embase for cohort or case-control studies. OR reductions were calculated with a random-effects model, and kidney outcomes and adverse pregnancy events were analyzed. <i>Results:</i> Our literature search returned 652 relevant articles; 4 studies were included, providing data of 376 pregnancies in 273 patients with IgAN and that of 241 IgAN who did not become pregnant. Four hundred sixty seven patients with chronic kidney disease stages 1-2 were included. Pregnancy in patients with IgAN did not increase the risk of adverse renal events including doubling of serum creatinine, 50% decline in glomerular filtration rate (GFR) and end-stage kidney disease (OR 0.97, 95% CI 0.55-1.70; p = 0.90; I2 = 0.0%, p = 0.79). There was no significant difference in the change in estimated GFR at the end of follow-up in the pregnant and non-pregnant groups (weighted mean difference 0.1 ml/min/1.73 m2 (95% CI -4.85 to 5.04 ml/min/1.73 m2), p = 0.97; I2 = 0%, p = 0.95). Women with IgAN had high rates of infant loss (12.2, 7.4-19.4%), preterm delivery (8.5, 5.9-12.1%), low birth weight (9.5, 6.7-13.3%), and preeclampsia/severe preeclampsia (7.3, 4.9-10.6%). <i>Conclusions:</i> Pregnancy in IgAN patients with preserved kidney function did not accelerate deterioration of renal function. But pregnant women with IgAN are at higher risk of pregnancy complications.